From e302d00f4283f4c58b2be166ef024529b94c85a0 Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Sat, 25 Sep 2021 09:20:11 -0600 Subject: [PATCH 1/7] Update .gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 3aa83d84..4a39ed29 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ +code/ .DS_Store cloudbuild*.yaml test.Dockerfile From ebd57be806edef9f9c4625a307c4fbaf4e832667 Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Sat, 25 Sep 2021 11:15:51 -0600 Subject: [PATCH 2/7] add bl_chemical_to_disease data from krista --- .github/workflows/bert-models-cicd.yaml | 2650 +++++++------- MODEL_VERSIONS | 2 +- .../data.tsv | 3177 +++++++++++++++++ 3 files changed, 4503 insertions(+), 1326 deletions(-) diff --git a/.github/workflows/bert-models-cicd.yaml b/.github/workflows/bert-models-cicd.yaml index 6f184c69..b4af00a3 100644 --- a/.github/workflows/bert-models-cicd.yaml +++ b/.github/workflows/bert-models-cicd.yaml @@ -39,55 +39,55 @@ env: jobs: - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # BUILD/PUSH BLUEBERT-BASE CONTAINER IMAGE # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - - build_push-bert-base: - name: "build/push bluebert-base container image" - runs-on: ubuntu-latest - env: - IMAGE_NAME: bluebert-base - DOCKERFILE: base.Dockerfile - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - name: Run step when a file changes - if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - run: | - echo "Your file ${{ env.DOCKERFILE }} has been modified." - - name: Set up Cloud SDK - if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - name: Configure Docker Authentication - if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - run: gcloud --quiet auth configure-docker - - name: Set MODEL_VERSION env - if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - run: echo "MODEL_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - name: Build Docker Image - if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - run: docker build --tag "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" -f ${{ env.DOCKERFILE }} . - - name: Publish Docker Image to Google Container Registry - if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - run: docker push "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # BUILD/PUSH BLUEBERT-BASE CONTAINER IMAGE # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + + # build_push-bert-base: + # name: "build/push bluebert-base container image" + # runs-on: ubuntu-latest + # env: + # IMAGE_NAME: bluebert-base + # DOCKERFILE: base.Dockerfile + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + # - name: Run step when a file changes + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # run: | + # echo "Your file ${{ env.DOCKERFILE }} has been modified." + # - name: Set up Cloud SDK + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + # - name: Configure Docker Authentication + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # run: gcloud --quiet auth configure-docker + # - name: Set MODEL_VERSION env + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # run: echo "MODEL_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + # - name: Build Docker Image + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # run: docker build --tag "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" -f ${{ env.DOCKERFILE }} . + # - name: Publish Docker Image to Google Container Registry + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # run: docker push "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" # ----------------------------------------------------------------------------------- # # ----------------------------------------------------------------------------------- # @@ -337,1283 +337,1283 @@ jobs: run: | docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # TRAIN BL_CHEMICAL_TO_GENE MODEL # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # TRAIN BL_CHEMICAL_TO_GENE MODEL # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # - build_push_train-bl_chemical_to_gene-train: - name: "build/push/train bl_chemical_to_gene model" - needs: "build_push-bert-base" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_chemical_to_gene - DOCKERFILE: train.Dockerfile - ENTRYPOINT_FILE: scripts/train.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - DATA_FILE: data/bl_chemical_to_gene/data.tsv - MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE - AI_PLATFORM_JOB_NAME: "bl_chemical_to_gene_train_${{ github.run_number }}" - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build ChemProt Corpus container image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --tag chemprot -f data/bl_chemical_to_gene/chemprot.Dockerfile data/bl_chemical_to_gene - - - name: Process ChemProt Corpus and append to data/bl_chemical_to_gene/data.tsv - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker run --rm -v "$PWD/data/bl_chemical_to_gene:/home/dev/output" chemprot - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - - name: Submit a training job to AI Plaform to train and cache the model - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - --scale-tier basic_gpu --region "$GCE_REGION" \ - --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -- \ - NO_ARG \ - "gs://$MODEL_STORAGE_BUCKET" - - - name: Monitor the training job - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - timeout-minutes: 360 - # Initial training of the chemical_to_gene model required 250 minutes - # using the basic_gpu tier (Tesla K80), so we set the timeout to 360 minutes - # here to be sure to allow enough time to finish. Note: 360 minutes might be the - # default timeout, so setting a timeout might not be necessary. - - - # ----------------------------------------------------------------------------------- # - # BUILD/PUSH BL_CHEMICAL_TO_GENE CLASSIFICATION CONTAINER IMAGE # - # ----------------------------------------------------------------------------------- # + # build_push_train-bl_chemical_to_gene-train: + # name: "build/push/train bl_chemical_to_gene model" + # needs: "build_push-bert-base" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_chemical_to_gene + # DOCKERFILE: train.Dockerfile + # ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # DATA_FILE: data/bl_chemical_to_gene/data.tsv + # MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE + # AI_PLATFORM_JOB_NAME: "bl_chemical_to_gene_train_${{ github.run_number }}" + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build ChemProt Corpus container image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --tag chemprot -f data/bl_chemical_to_gene/chemprot.Dockerfile data/bl_chemical_to_gene + + # - name: Process ChemProt Corpus and append to data/bl_chemical_to_gene/data.tsv + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker run --rm -v "$PWD/data/bl_chemical_to_gene:/home/dev/output" chemprot + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + # - name: Submit a training job to AI Plaform to train and cache the model + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + # --scale-tier basic_gpu --region "$GCE_REGION" \ + # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -- \ + # NO_ARG \ + # "gs://$MODEL_STORAGE_BUCKET" + + # - name: Monitor the training job + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + # timeout-minutes: 360 + # # Initial training of the chemical_to_gene model required 250 minutes + # # using the basic_gpu tier (Tesla K80), so we set the timeout to 360 minutes + # # here to be sure to allow enough time to finish. Note: 360 minutes might be the + # # default timeout, so setting a timeout might not be necessary. + + + # # ----------------------------------------------------------------------------------- # + # # BUILD/PUSH BL_CHEMICAL_TO_GENE CLASSIFICATION CONTAINER IMAGE # + # # ----------------------------------------------------------------------------------- # - build_push-bl_chemical_to_gene-predict: - name: "build/push bl_chemical_to_gene predict container" - needs: "build_push_train-bl_chemical_to_gene-train" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_chemical_to_gene - DOCKERFILE: predict.Dockerfile - TRAIN_DOCKERFILE: train.Dockerfile - TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE - CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" - DATA_FILE: data/bl_chemical_to_gene/data.tsv - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # TRAIN BL_DISEASE_TO_PHENOTYPIC_FEATURE MODEL # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - - build_push_train-bl_disease_to_phenotypic_feature-train: - name: "build/push/train bl_disease_to_phenotypic_feature model" - needs: "build_push-bert-base" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_disease_to_phenotypic_feature - DOCKERFILE: train.Dockerfile - ENTRYPOINT_FILE: scripts/train.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv - MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE - AI_PLATFORM_JOB_NAME: "bl_disease_to_phenotypic_feature_train_${{ github.run_number }}" - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - - name: Submit a training job to AI Plaform to train and cache the model - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - --scale-tier basic_gpu --region "$GCE_REGION" \ - --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -- \ - NO_ARG \ - "gs://$MODEL_STORAGE_BUCKET" - - - name: Monitor the training job - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - timeout-minutes: 180 - - # ----------------------------------------------------------------------------------- # - # BUILD/PUSH BL_DISEASE_TO_PHENOTYPIC_FEATURE CLASSIFICATION CONTAINER IMAGE # - # ----------------------------------------------------------------------------------- # - - build_push-bl_disease_to_phenotypic_feature-predict: - name: "build/push bl_disease_to_phenotypic_feature predict container" - needs: "build_push_train-bl_disease_to_phenotypic_feature-train" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_disease_to_phenotypic_feature - DOCKERFILE: predict.Dockerfile - TRAIN_DOCKERFILE: train.Dockerfile - TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE - CLASSIFICATION_LABELS: "has_symptom false" - DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # TRAIN BL_GENE_REGULATORY_RELATIONSHIP MODEL # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - - build_push_train-bl_gene_regulatory_relationship-train: - name: "build/push/train bl_gene_regulatory_relationship model" - needs: "build_push-bert-base" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_gene_regulatory_relationship - DOCKERFILE: train.Dockerfile - ENTRYPOINT_FILE: scripts/train.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv - MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP - AI_PLATFORM_JOB_NAME: "bl_gene_regulatory_relationship_train_${{ github.run_number }}" - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build GeneReg Corpus container image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --tag genereg -f data/bl_gene_regulatory_relationship/genereg.Dockerfile data/bl_gene_regulatory_relationship - - - name: Process GeneReg Corpus and append to data/bl_gene_regulator_relationship/data.tsv - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker run --rm -v "$PWD/data/bl_gene_regulatory_relationship:/home/dev/output" genereg - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - - name: Submit a training job to AI Plaform to train and cache the model - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - --scale-tier basic_gpu --region "$GCE_REGION" \ - --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -- \ - NO_ARG \ - "gs://$MODEL_STORAGE_BUCKET" - - - name: Monitor the training job - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - timeout-minutes: 180 - - # ----------------------------------------------------------------------------------- # - # BUILD/PUSH BL_GENE_REGULATORY_RELATIONSHIP CLASSIFICATION CONTAINER IMAGE # - # ----------------------------------------------------------------------------------- # - - build_push-bl_gene_regulatory_relationship-predict: - name: "build/push bl_gene_regulatory_relationship predict container" - needs: "build_push_train-bl_gene_regulatory_relationship-train" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_gene_regulatory_relationship - DOCKERFILE: predict.Dockerfile - TRAIN_DOCKERFILE: train.Dockerfile - TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP - CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" - DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # TRAIN BL_GENE_TO_DISEASE MODEL # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - - build_push_train-bl_gene_to_disease-train: - name: "build/push/train bl_gene_to_disease model" - needs: "build_push-bert-base" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_gene_to_disease - DOCKERFILE: train.Dockerfile - ENTRYPOINT_FILE: scripts/train.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - DATA_FILE: data/bl_gene_to_disease/data.tsv - MODEL_VERSION_KEY: BL_GENE_TO_DISEASE - AI_PLATFORM_JOB_NAME: "bl_gene_to_disease_train_${{ github.run_number }}" - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - - name: Submit a training job to AI Plaform to train and cache the model - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - --scale-tier basic_gpu --region "$GCE_REGION" \ - --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -- \ - NO_ARG \ - "gs://$MODEL_STORAGE_BUCKET" - - - name: Monitor the training job - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - timeout-minutes: 180 - - # ----------------------------------------------------------------------------------- # - # BUILD/PUSH BL_GENE_TO_DISEASE CLASSIFICATION CONTAINER IMAGE # - # ----------------------------------------------------------------------------------- # - - build_push-bl_gene_to_disease-predict: - name: "build/push bl_gene_to_disease predict container" - needs: "build_push_train-bl_gene_to_disease-train" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_gene_to_disease - DOCKERFILE: predict.Dockerfile - TRAIN_DOCKERFILE: train.Dockerfile - TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - MODEL_VERSION_KEY: BL_GENE_TO_DISEASE - CLASSIFICATION_LABELS: "causes false" - DATA_FILE: data/bl_gene_to_disease/data.tsv - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # TRAIN BL_GENE_TO_EXPRESSION_SITE MODEL # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # - # ----------------------------------------------------------------------------------- # + # build_push-bl_chemical_to_gene-predict: + # name: "build/push bl_chemical_to_gene predict container" + # needs: "build_push_train-bl_chemical_to_gene-train" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_chemical_to_gene + # DOCKERFILE: predict.Dockerfile + # TRAIN_DOCKERFILE: train.Dockerfile + # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE + # CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" + # DATA_FILE: data/bl_chemical_to_gene/data.tsv + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # TRAIN BL_DISEASE_TO_PHENOTYPIC_FEATURE MODEL # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # - build_push_train-bl_gene_to_expression_site-train: - name: "build/push/train bl_gene_to_expression_site model" - needs: "build_push-bert-base" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_gene_to_expression_site - DOCKERFILE: train.Dockerfile - ENTRYPOINT_FILE: scripts/train.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - DATA_FILE: data/bl_gene_to_expression_site/data.tsv - MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE - AI_PLATFORM_JOB_NAME: "bl_gene_to_expression_site_train_${{ github.run_number }}" - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - - name: Submit a training job to AI Plaform to train and cache the model - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - --scale-tier basic_gpu --region "$GCE_REGION" \ - --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - -- \ - NO_ARG \ - "gs://$MODEL_STORAGE_BUCKET" - - - name: Monitor the training job - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - timeout-minutes: 180 - - # ----------------------------------------------------------------------------------- # - # BUILD/PUSH BL_GENE_TO_EXPRESSION_SITE CLASSIFICATION CONTAINER IMAGE # - # ----------------------------------------------------------------------------------- # + # build_push_train-bl_disease_to_phenotypic_feature-train: + # name: "build/push/train bl_disease_to_phenotypic_feature model" + # needs: "build_push-bert-base" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_disease_to_phenotypic_feature + # DOCKERFILE: train.Dockerfile + # ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv + # MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE + # AI_PLATFORM_JOB_NAME: "bl_disease_to_phenotypic_feature_train_${{ github.run_number }}" + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + # - name: Submit a training job to AI Plaform to train and cache the model + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + # --scale-tier basic_gpu --region "$GCE_REGION" \ + # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -- \ + # NO_ARG \ + # "gs://$MODEL_STORAGE_BUCKET" + + # - name: Monitor the training job + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + # timeout-minutes: 180 + + # # ----------------------------------------------------------------------------------- # + # # BUILD/PUSH BL_DISEASE_TO_PHENOTYPIC_FEATURE CLASSIFICATION CONTAINER IMAGE # + # # ----------------------------------------------------------------------------------- # - build_push-bl_gene_to_expression_site-predict: - name: "build/push bl_gene_to_expression_site predict container" - needs: "build_push_train-bl_gene_to_expression_site-train" - runs-on: ubuntu-latest - env: - TASK_NAME: bl_gene_to_expression_site - DOCKERFILE: predict.Dockerfile - TRAIN_DOCKERFILE: train.Dockerfile - TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - BASE_DOCKERFILE: base.Dockerfile - MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE - CLASSIFICATION_LABELS: "expressed_in false" - DATA_FILE: data/bl_gene_to_expression_site/data.tsv - steps: - - uses: actions/checkout@v2 - with: - fetch-depth: 0 - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v7 - - - name: List all modified files - run: | - for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - echo "$file was modified" - done - - - name: Run step when a file changes - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - - name: Set up Cloud SDK - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - uses: google-github-actions/setup-gcloud@master - with: - project_id: ${{ secrets.GCE_PROJECT }} - service_account_key: ${{ secrets.GCE_SA_KEY }} - version: '290.0.1' - - - name: Configure Docker Authentication - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - gcloud --quiet auth configure-docker - - - name: Set MODEL_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Set BASE_VERSION env - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - - name: Build Docker Image - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - --build-arg "TASK_NAME=$TASK_NAME" \ - --build-arg "BASE_VERSION=$BASE_VERSION" \ - --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - -f ${{ env.DOCKERFILE }} . - - - name: Publish Docker Image to Google Container Registry - if: | - contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - run: | - docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ No newline at end of file + # build_push-bl_disease_to_phenotypic_feature-predict: + # name: "build/push bl_disease_to_phenotypic_feature predict container" + # needs: "build_push_train-bl_disease_to_phenotypic_feature-train" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_disease_to_phenotypic_feature + # DOCKERFILE: predict.Dockerfile + # TRAIN_DOCKERFILE: train.Dockerfile + # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE + # CLASSIFICATION_LABELS: "has_symptom false" + # DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # TRAIN BL_GENE_REGULATORY_RELATIONSHIP MODEL # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + + # build_push_train-bl_gene_regulatory_relationship-train: + # name: "build/push/train bl_gene_regulatory_relationship model" + # needs: "build_push-bert-base" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_gene_regulatory_relationship + # DOCKERFILE: train.Dockerfile + # ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv + # MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP + # AI_PLATFORM_JOB_NAME: "bl_gene_regulatory_relationship_train_${{ github.run_number }}" + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build GeneReg Corpus container image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --tag genereg -f data/bl_gene_regulatory_relationship/genereg.Dockerfile data/bl_gene_regulatory_relationship + + # - name: Process GeneReg Corpus and append to data/bl_gene_regulator_relationship/data.tsv + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker run --rm -v "$PWD/data/bl_gene_regulatory_relationship:/home/dev/output" genereg + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + # - name: Submit a training job to AI Plaform to train and cache the model + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + # --scale-tier basic_gpu --region "$GCE_REGION" \ + # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -- \ + # NO_ARG \ + # "gs://$MODEL_STORAGE_BUCKET" + + # - name: Monitor the training job + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + # timeout-minutes: 180 + + # # ----------------------------------------------------------------------------------- # + # # BUILD/PUSH BL_GENE_REGULATORY_RELATIONSHIP CLASSIFICATION CONTAINER IMAGE # + # # ----------------------------------------------------------------------------------- # + + # build_push-bl_gene_regulatory_relationship-predict: + # name: "build/push bl_gene_regulatory_relationship predict container" + # needs: "build_push_train-bl_gene_regulatory_relationship-train" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_gene_regulatory_relationship + # DOCKERFILE: predict.Dockerfile + # TRAIN_DOCKERFILE: train.Dockerfile + # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP + # CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" + # DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # TRAIN BL_GENE_TO_DISEASE MODEL # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + + # build_push_train-bl_gene_to_disease-train: + # name: "build/push/train bl_gene_to_disease model" + # needs: "build_push-bert-base" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_gene_to_disease + # DOCKERFILE: train.Dockerfile + # ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # DATA_FILE: data/bl_gene_to_disease/data.tsv + # MODEL_VERSION_KEY: BL_GENE_TO_DISEASE + # AI_PLATFORM_JOB_NAME: "bl_gene_to_disease_train_${{ github.run_number }}" + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + # - name: Submit a training job to AI Plaform to train and cache the model + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + # --scale-tier basic_gpu --region "$GCE_REGION" \ + # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -- \ + # NO_ARG \ + # "gs://$MODEL_STORAGE_BUCKET" + + # - name: Monitor the training job + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + # timeout-minutes: 180 + + # # ----------------------------------------------------------------------------------- # + # # BUILD/PUSH BL_GENE_TO_DISEASE CLASSIFICATION CONTAINER IMAGE # + # # ----------------------------------------------------------------------------------- # + + # build_push-bl_gene_to_disease-predict: + # name: "build/push bl_gene_to_disease predict container" + # needs: "build_push_train-bl_gene_to_disease-train" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_gene_to_disease + # DOCKERFILE: predict.Dockerfile + # TRAIN_DOCKERFILE: train.Dockerfile + # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # MODEL_VERSION_KEY: BL_GENE_TO_DISEASE + # CLASSIFICATION_LABELS: "causes false" + # DATA_FILE: data/bl_gene_to_disease/data.tsv + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # TRAIN BL_GENE_TO_EXPRESSION_SITE MODEL # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + # # ----------------------------------------------------------------------------------- # + + # build_push_train-bl_gene_to_expression_site-train: + # name: "build/push/train bl_gene_to_expression_site model" + # needs: "build_push-bert-base" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_gene_to_expression_site + # DOCKERFILE: train.Dockerfile + # ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # DATA_FILE: data/bl_gene_to_expression_site/data.tsv + # MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE + # AI_PLATFORM_JOB_NAME: "bl_gene_to_expression_site_train_${{ github.run_number }}" + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + # - name: Submit a training job to AI Plaform to train and cache the model + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + # --scale-tier basic_gpu --region "$GCE_REGION" \ + # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + # -- \ + # NO_ARG \ + # "gs://$MODEL_STORAGE_BUCKET" + + # - name: Monitor the training job + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + # timeout-minutes: 180 + + # # ----------------------------------------------------------------------------------- # + # # BUILD/PUSH BL_GENE_TO_EXPRESSION_SITE CLASSIFICATION CONTAINER IMAGE # + # # ----------------------------------------------------------------------------------- # + + # build_push-bl_gene_to_expression_site-predict: + # name: "build/push bl_gene_to_expression_site predict container" + # needs: "build_push_train-bl_gene_to_expression_site-train" + # runs-on: ubuntu-latest + # env: + # TASK_NAME: bl_gene_to_expression_site + # DOCKERFILE: predict.Dockerfile + # TRAIN_DOCKERFILE: train.Dockerfile + # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + # BASE_DOCKERFILE: base.Dockerfile + # MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE + # CLASSIFICATION_LABELS: "expressed_in false" + # DATA_FILE: data/bl_gene_to_expression_site/data.tsv + # steps: + # - uses: actions/checkout@v2 + # with: + # fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + + # - name: Run step when a file changes + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + # - name: Set up Cloud SDK + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # uses: google-github-actions/setup-gcloud@master + # with: + # project_id: ${{ secrets.GCE_PROJECT }} + # service_account_key: ${{ secrets.GCE_SA_KEY }} + # version: '290.0.1' + + # - name: Configure Docker Authentication + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # gcloud --quiet auth configure-docker + + # - name: Set MODEL_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Set BASE_VERSION env + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + # - name: Build Docker Image + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + # --build-arg "TASK_NAME=$TASK_NAME" \ + # --build-arg "BASE_VERSION=$BASE_VERSION" \ + # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + # -f ${{ env.DOCKERFILE }} . + + # - name: Publish Docker Image to Google Container Registry + # if: | + # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + # run: | + # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ No newline at end of file diff --git a/MODEL_VERSIONS b/MODEL_VERSIONS index 01da8a94..a41addfa 100644 --- a/MODEL_VERSIONS +++ b/MODEL_VERSIONS @@ -1,5 +1,5 @@ BASE=0.1 -BL_CHEMICAL_TO_DISEASE_OR_PHENOTYPIC_FEATURE=0.1 +BL_CHEMICAL_TO_DISEASE_OR_PHENOTYPIC_FEATURE=0.2 BL_CHEMICAL_TO_GENE=0.1 BL_DISEASE_TO_PHENOTYPIC_FEATURE=0.1 BL_GENE_REGULATORY_RELATIONSHIP=0.1 diff --git a/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv b/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv index f821e1f8..2a994d95 100644 --- a/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv +++ b/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv @@ -400,3 +400,3180 @@ edbda0e7f022b0f879396beebd4196d0439b021190e35014174204a55a4955bb The role of @CH 22eab6c1ac74a0d7b614c54addc34a6b339cd21d47bcf8c7cafa21092b51029b Circulating @DISEASE$ @CHEMICAL$ (ctDNA) in precision oncology of ovarian cancer. false fd81587391bd6fd28e40b48b6a645268d5b7ec1e8b2cfb179fd362235c0dec35 We employed a dual fluorescent @CHEMICAL$ (Dox)-regulated lentiviral inducer system to transfect ER+ MCF7L breast cancer cells, with green fluorescent protein (GFP) expression as a marker of transfection and red fluorescent protein (RFP) expression as a surrogate marker of Dox-induced @DISEASE$ suppressor phosphatase and tensin homolog deleted on chromosome 10 (PTEN) knockdown. false 5a3ed6c3ff85960eed03c318889b32a169e6119bf5cd99299334e76ca84fa0f4 Sapylin (OK-432) revealed @CHEMICAL$ properties in @DISEASE$. false +h9fG6T3otcwfgNaYgkx44HLQD34 Overall, our findings provide mechanistic insights into the @DISEASE$ immune surveillance state in response to radiotherapy and suggest a therapeutic synergy between radiotherapy and @CHEMICAL$. treats +w5M1qrkE2hHIzGQzrZ6HMfGtU4s Moreover, absence of intestinal epithelial Hif1-α markedly changed the population of IELs in NSAID-induced small intestinal @DISEASE$ and increased susceptibility to dextran sulfate @CHEMICAL$ colitis. false +_u0P4vbFZE03W0u3bpoeilrcMmA Moreover, absence of intestinal epithelial Hif1-α markedly changed the population of IELs in NSAID-induced small intestinal injury and increased susceptibility to @CHEMICAL$ sodium-induced @DISEASE$. false +W2vAlJ_0gAvmm-TCyMzLlH7-fd4 Moreover, absence of intestinal epithelial Hif1-α markedly changed the population of IELs in NSAID-induced small intestinal @DISEASE$ and increased susceptibility to @CHEMICAL$ sodium-induced colitis. false +8bN12WNQlzibQkwd4yvSM4qWM44 Moreover, absence of intestinal epithelial Hif1-α markedly changed the population of IELs in NSAID-induced small intestinal injury and increased susceptibility to dextran sulfate @CHEMICAL$ @DISEASE$. false +qGDjGd4e7U7MvFuymrWjJ5NK0Fg In this study, a new imidazolidine derivative @CHEMICAL$, PT-31, a putative α2A-adrenoceptor agonist, was evaluated in mouse models predictive of efficacy in the treatment of positive and cognitive symptoms of @DISEASE$, as well as its ability to promote cerebellar granule cell survival in vitro, in the presence or absence of glutamate (100 µmol/l). treats +6RnSnqR8LMO-vqTgC-T--1dS0aQ Dehydrochlorination occurred, and @DISEASE$, benzene and @CHEMICAL$ were detected during the pyrolysis of capacitor scarfskin. false +9YW94JoF4O9o8k00HDbNPFE82UQ Dehydrochlorination occurred, and @DISEASE$, @CHEMICAL$ and toluene were detected during the pyrolysis of capacitor scarfskin. false +__AH6Q4ZI15vloKbSCl2ckhCYTY strains with reduced fidaxomicin susceptibilities causing @DISEASE$ in Japan; however, mutant strains with reduced fidaxomicin susceptibilities were detected after @CHEMICAL$ treatment. treats +ZiDAZTkjoZKNSpUpops1oUV_Wz0 Vitiligo is an acquired pigmentation @DISEASE$ characterized by melanocyte loss via autoimmune mechanisms triggered by @CHEMICAL$ stress. false +dMEFhMu3gbfCZB5wGMLfAgs6eag @DISEASE$ is an acquired pigmentation disorder characterized by melanocyte loss via autoimmune mechanisms triggered by @CHEMICAL$ stress. false +chja8-2HvpQwN8wIv63iOCZlK_I Vitiligo is an @DISEASE$ pigmentation disorder characterized by melanocyte loss via autoimmune mechanisms triggered by @CHEMICAL$ stress. false +hmRuuOElfdQn-3Rnt1tEPOyhLfo We discuss this rare case of infantile idiopathic intracranial hypertension and provide a review of the literature, including an overview of @DISEASE$ characteristics and outcomes of idiopathic intracranial hypertension in this very young age @CHEMICAL$. false +HDMAMiUphfveMgjV06hQTF-ms1Q We discuss this rare case of infantile idiopathic intracranial hypertension and provide a review of the literature, including an overview of disease characteristics and outcomes of @DISEASE$ in this very young age @CHEMICAL$. false +hLgnBJMX_ogEx4Gaevi_leLq_8g We discuss this @DISEASE$ case of infantile idiopathic intracranial hypertension and provide a review of the literature, including an overview of disease characteristics and outcomes of idiopathic intracranial hypertension in this very young age @CHEMICAL$. false +I86vbf2puKnabSTYM1KuAsfoZyg We discuss this rare case of infantile @DISEASE$ and provide a review of the literature, including an overview of disease characteristics and outcomes of idiopathic intracranial hypertension in this very young age @CHEMICAL$. false +x5pX_GTsTQYBaSN94vHjecQMAVc To optimize and validate a current (NRG [a newly constituted National Clinical Trials Network group through National Surgical @CHEMICAL$ Breast and Bowel Project [NSABP], the Radiation Therapy Oncology Group [RTOG] and the Gynecologic Oncology Group (GOG)]) nomogram for @DISEASE$ patients as part of continuous validation. treats +Cg07MYit6bI6n1JIpudzmNEtCV0 Whole genome sequencing (WGS) is increasingly used for @CHEMICAL$ diagnosis and epidemiology of @DISEASE$ diseases. false +tzmg1ap4LJqrhO6PnRXVw87f-Qk Whole genome sequencing (WGS) is increasingly used for @CHEMICAL$ diagnosis and epidemiology of infectious @DISEASE$. false +W8rgKiFU5A6Ft41-7Ve4LzArQi0 @CHEMICAL$ A1c (HbA1c), weight, number of days fasted, hypoglycemia and @DISEASE$ episodes, and emergency hospital visits were collected and analyzed after completing the month. false +IJr3S2ytInJyQIZHiQ6MmZ13cIU Hemoglobin A1c (@CHEMICAL$), weight, number of days fasted, @DISEASE$ and hyperglycemia episodes, and emergency hospital visits were collected and analyzed after completing the month. false +BrXeg5XNoDB-kV_opAxl9fOzNoE @CHEMICAL$ A1c (HbA1c), weight, number of days fasted, @DISEASE$ and hyperglycemia episodes, and emergency hospital visits were collected and analyzed after completing the month. false +aeN87T6vFyd-qwjjnS2mvjyMtr8 Hemoglobin A1c (@CHEMICAL$), weight, number of days fasted, hypoglycemia and @DISEASE$ episodes, and emergency hospital visits were collected and analyzed after completing the month. false +KDSzJsCT-9tlk3wxc6a6uwGyzN0 Hence, to retain the balance between health beneficial @CHEMICAL$ and sensory attributes, optimization of roasting @DISEASE$ specific to the cultivar type substantially required. false +RLcCmz8l-5bPYjaMKqIiyVIM2Rw @CHEMICAL$ sequencing (RNA-Seq) data associated with @DISEASE$ were retrieved from the Cancer Genome Atlas (TCGA). false +yMY1AxMzFWPekurkYB2Xzn8vlvo @CHEMICAL$ sequencing (RNA-Seq) data associated with colon adenocarcinoma were retrieved from the @DISEASE$ Genome Atlas (TCGA). false +m6bxlnbkXSHfRkX4PBGRUUdkTN0 RNA sequencing (@CHEMICAL$) data associated with @DISEASE$ were retrieved from the Cancer Genome Atlas (TCGA). false +t6XNlx3zIdG3hUc0GvHcG02F4m8 RNA sequencing (@CHEMICAL$) data associated with colon adenocarcinoma were retrieved from the @DISEASE$ Genome Atlas (TCGA). false +V1oyadXmu-aW6UQh6jJbfllCAt8 @CHEMICAL$ sulfide pathway induces cGMP-dependent relaxation of corpus cavernosum and penile arteries from patients with @DISEASE$ and improves arterial vasodilation induced by PDE5 inhibition. false +11gV6jtYqr9abaZ5j5K7s_n9rfs @CHEMICAL$ pathway induces cGMP-dependent relaxation of corpus cavernosum and penile arteries from patients with @DISEASE$ and improves arterial vasodilation induced by PDE5 inhibition. false +NL18pG0e0URzjSf5zXyRDvm3bB8 The AIM-2-like receptors for DNA, interferon-γ-inducible @CHEMICAL$ 16 (IFI16) and Cyclic GMP-AMP synthase (cGAS) were candidate @DISEASE$. false +V2T-EqgTCcFIw4gFx__UdDqITf4 The AIM-2-like receptors for @CHEMICAL$, interferon-γ-inducible protein 16 (IFI16) and Cyclic GMP-AMP synthase (cGAS) were candidate @DISEASE$. false +FRKAgx52rnds8I2bDlSn1PCAyUY The AIM-2-like receptors for DNA, interferon-γ-inducible protein 16 (IFI16) and Cyclic @CHEMICAL$ synthase (cGAS) were candidate @DISEASE$. false +swG9dnkcDr6K7LaIxSQJqcyOobY The AIM-2-like receptors for DNA, @CHEMICAL$ protein 16 (IFI16) and Cyclic GMP-AMP synthase (cGAS) were candidate @DISEASE$. false +8jMq-CSgiYYOewR53oaswy1gA5E Alloimmunization of a dog erythrocyte antigen 1- dog transfused with weakly dog erythrocyte @CHEMICAL$ 1+ @DISEASE$. false +TCUJfRTdl4GvLnV1SGFqDcdNIck Alloimmunization of a dog erythrocyte @CHEMICAL$ 1- dog transfused with weakly dog erythrocyte antigen 1+ @DISEASE$. false +K_hMhHWPNRis7hL7s3XmDWWnOeE The group with diabetes had a significantly decreased rate of mitochondrial respiration fueled by @CHEMICAL$ that correlated with @DISEASE$ glucose dysregulation, while there was no difference in oxidation of pyruvate. false +opmQGVrs0nz41--YuTSa1Wfg2l4 The group with diabetes had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with @DISEASE$ @CHEMICAL$ dysregulation, while there was no difference in oxidation of pyruvate. false +rP8P4e_ZVr3Urx927Z-H5CoyFmo The group with diabetes had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with @DISEASE$ glucose dysregulation, while there was no difference in oxidation of @CHEMICAL$. false +Tyr5bYFn5t-clc4sxqsn77lp8vI The group with @DISEASE$ had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with blood @CHEMICAL$ dysregulation, while there was no difference in oxidation of pyruvate. false +D5zEjG4_UtSs7Cs-exjKf5aJAqQ The group with diabetes had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with @DISEASE$ glucose dysregulation, while there was no difference in @CHEMICAL$ of pyruvate. false +TmudT_Hm3hiE4DPdHtCXwvVy6sE The group with @DISEASE$ had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with blood glucose dysregulation, while there was no difference in @CHEMICAL$ of pyruvate. false +VD53IrylSe-L-xgUYFXvAdflMUs The @CHEMICAL$ with @DISEASE$ had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with blood glucose dysregulation, while there was no difference in oxidation of pyruvate. false +4WfmXTjBptv_e2NRJzlk5VMSPMc The group with @DISEASE$ had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with blood glucose dysregulation, while there was no difference in oxidation of @CHEMICAL$. false +vspjG_xO7dxyc_SncoIw9QLeX0o The group with @DISEASE$ had a significantly decreased rate of mitochondrial respiration fueled by @CHEMICAL$ that correlated with blood glucose dysregulation, while there was no difference in oxidation of pyruvate. false +W7-Ixe2QzoKGNEXfUiQ7BxvOqEY The @CHEMICAL$ with diabetes had a significantly decreased rate of mitochondrial respiration fueled by palmitoyl-carnitine that correlated with @DISEASE$ glucose dysregulation, while there was no difference in oxidation of pyruvate. false +njy49ifJUp_b5KDZFaDSBmwCrY8 Although the laryngoscope handle has been considered a noncritical item that contacts only intact skin, health care team members should consider both the laryngoscope blade and handle as semicritical items and process them by high-level @CHEMICAL$ (@DISEASE$) or steam sterilization according to manufacturer's instructions. false +fQsFuHOopsNFSZ6-8svqfdwo0AQ In @DISEASE$ associated with obesity, type 2 diabetes (T2DM), and non-alcoholic fatty liver disease (NAFLDs), lower circulating glycine levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by @CHEMICAL$ supplementation. treats +MOYB_HRXS9X4Bl3EkfdDXUMdRME In metabolic disorders associated with obesity, @DISEASE$ (T2DM), and non-alcoholic @CHEMICAL$ liver disease (NAFLDs), lower circulating glycine levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by glycine supplementation. false +7yK4CF-LXZ5sqJ0NLBoHooJg-DU In metabolic disorders associated with @DISEASE$, type 2 diabetes (T2DM), and non-alcoholic fatty liver disease (NAFLDs), lower circulating @CHEMICAL$ levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by glycine supplementation. false +6z1NB4kpmiOuSMw1gofO5FfBxv0 In metabolic disorders associated with obesity, @DISEASE$ (T2DM), and non-alcoholic fatty liver disease (NAFLDs), lower circulating @CHEMICAL$ levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by glycine supplementation. false +C0eFR2D2UhCfA-MkXMbVAlZiLkE In metabolic disorders associated with obesity, type 2 diabetes (T2DM), and @DISEASE$ (NAFLDs), lower circulating @CHEMICAL$ levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by glycine supplementation. false +eetM-ISv2wRnfZAKGc1oTZuTo2Q In metabolic disorders associated with @DISEASE$, type 2 diabetes (T2DM), and non-alcoholic @CHEMICAL$ liver disease (NAFLDs), lower circulating glycine levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by glycine supplementation. false +Sz3QkVxc7qK9nqF9viZzs6TOGxY This study evaluated both theories in children diagnosed with @DISEASE$ (n = 16) and a @CHEMICAL$ of TD children (n = 20) using eye tracking and demonstrated that distractor type only impacted the proportion of dwell time on faces in the TD group, but not the ASD group. false +DROutY5uHs4gAYn1TatwpwNQ8vs This study evaluated both theories in children diagnosed with ASD (n = 16) and a group of TD children (n = 20) using eye tracking and demonstrated that distractor type only impacted the proportion of dwell time on faces in the TD @CHEMICAL$, but not the @DISEASE$ group. false +nKNXNU16FKClJMIvQiNbE9lBf7c This study evaluated both theories in children diagnosed with ASD (n = 16) and a group of TD children (n = 20) using eye tracking and demonstrated that distractor type only impacted the proportion of dwell time on faces in the TD group, but not the @DISEASE$ @CHEMICAL$. false +Uw3hA6uSyzbjkr1xB8ltto_WxvA This study evaluated both theories in children diagnosed with @DISEASE$ (n = 16) and a group of TD children (n = 20) using eye tracking and demonstrated that distractor type only impacted the proportion of dwell time on faces in the TD @CHEMICAL$, but not the ASD group. false +dsKgJ0ZQiWhcWBLWsO4Ic5iaC0g This study evaluated both theories in children diagnosed with ASD (n = 16) and a @CHEMICAL$ of TD children (n = 20) using eye tracking and demonstrated that distractor type only impacted the proportion of dwell time on faces in the TD group, but not the @DISEASE$ group. false +EAwe52yQUDYTeAgcU989fmkjMPU This study evaluated both theories in children diagnosed with @DISEASE$ (n = 16) and a group of TD children (n = 20) using eye tracking and demonstrated that distractor type only impacted the proportion of dwell time on faces in the TD group, but not the ASD @CHEMICAL$. false +O9_L1g7wPGzr2wYBvNS9FsS_tw8 The discovery of nano @CHEMICAL$ delivery system has rendered a great hope for improving @DISEASE$ therapy. treats +nQGyQgREI_b6EkgK6XwVRo1TQyY The discovery of nano drug delivery @CHEMICAL$ has @DISEASE$ a great hope for improving cancer therapy. treats +4nl056IX6gAhr-Mc2D5-Q2D_Xf4 Genetic testing indicated that he has carried c.560+2T>C and c.811T>C compound heterozygous variant of the AGR1 gene, which were @DISEASE$ from @CHEMICAL$ father and mother, respectively. false +buwC1j0A4F0i-WNhvDleH-yTU6M Our results provide important recommendations for screening virus and @DISEASE$ @CHEMICAL$ among the population with prevalent HLA supertypes for vaccine development and immune interventions. false +obXnu-qc3nyor8c-KkpY2N1VJnY The viral @CHEMICAL$ corona directs viral pathogenesis and @DISEASE$ aggregation. false +pESjxkssQ1A4NOG4DDLprgZ34f8 The study aims, in @DISEASE$ men, (i) to assess oxidative stress parameters in semen plasma and (ii) to study the effect of @CHEMICAL$ in those with abnormal semen parameters. treats +XRxYwa_hPhCKHlidLzZAp6Bn8pA The study aims, in infertile @DISEASE$, (i) to assess @CHEMICAL$ stress parameters in semen plasma and (ii) to study the effect of antioxidants in those with abnormal semen parameters. false +M-EZQ0QcZOmZE3z90zinVyfV46o The neuropeptide Y system affects various processes, among others @CHEMICAL$ intake, and is frequently discussed in the context of targeting @DISEASE$. false +Yu4qJabovN1Lw6sSLnx7YI9m--A The @CHEMICAL$ system affects various processes, among others food intake, and is frequently discussed in the context of targeting @DISEASE$. false +iY48i1cJrhlysKmoHPF-Peom-Xk The study confirmed that @CHEMICAL$ is able to pass the blood-brain barrier in a @DISEASE$ population and provided an initial biomarker-based signal of efficacy. treats +WNlmPkZFG7pA1xpJZqN9a2XzCo4 The study confirmed that ciclosporin is able to pass the @DISEASE$ barrier in a TBI population and provided an initial @CHEMICAL$ signal of efficacy. false +aUj_GOOj3EaxdANnOAy9Db4GkQQ Efficacy of @CHEMICAL$ for evaporative cooling in athletes with @DISEASE$. treats +CTuMn5FQKKnjLiLNfypy80YfHA8 Herein, we described a novel microwave-assisted polymerized composite hydrogel that was comprised of salecan/poly(diacetone @CHEMICAL$) (PDAAm) network and tantalum carbide (@DISEASE$) nanoparticles. false +Bkv6eIm1gx2IbFM1Y_6ZYPc0dcU Herein, we described a novel microwave-assisted polymerized composite hydrogel that was comprised of salecan/poly(diacetone acrylamide) (PDAAm) network and @CHEMICAL$ carbide (@DISEASE$) nanoparticles. false +h3eNf0qUgXes2pqhEUOhQu95U9s Herein, we described a novel microwave-assisted polymerized composite hydrogel that was comprised of salecan/poly(diacetone acrylamide) (PDAAm) network and tantalum carbide (@DISEASE$) @CHEMICAL$. false +CigQL0hsChii3UwpahnlUaAYewA Notably, we found knockdown of genes involved in @CHEMICAL$ trafficking pathways to be detrimental to parasite @DISEASE$. false +81O6tr-jcHMJi3bf6A4_iJ2rt_M A high-fat diet promotes CRC risk through stimulated bile acid metabolism, facilitating @CHEMICAL$ conversion by the gut microbiota to @DISEASE$ deoxycholic acid. false +avkCAcHQ_tudJUNXRRe6Pow_XW4 A high-fat diet promotes @DISEASE$ risk through stimulated @CHEMICAL$ metabolism, facilitating bile acid conversion by the gut microbiota to tumor-promoting deoxycholic acid. false +cQP6vHHiwX66VLdhtnIm7lGFssw A high-fat diet promotes CRC risk through stimulated @CHEMICAL$ metabolism, facilitating bile acid conversion by the gut microbiota to @DISEASE$ deoxycholic acid. false +_HCcNLrgNp9Oh6qKOBFg3t4j-G8 A high-fat diet promotes CRC risk through stimulated bile acid metabolism, facilitating bile acid conversion by the gut microbiota to @DISEASE$ @CHEMICAL$. false +XCg05k-u12ZcU5ZeIL6qILa7xUc A @CHEMICAL$ diet promotes @DISEASE$ risk through stimulated bile acid metabolism, facilitating bile acid conversion by the gut microbiota to tumor-promoting deoxycholic acid. false +P2G1uFHUbx8vTbUJcuoirc4sZn4 A high-fat diet promotes @DISEASE$ risk through stimulated bile acid metabolism, facilitating bile acid conversion by the gut microbiota to tumor-promoting @CHEMICAL$. false +73lpO4e7QIrOLANIBvWKhapmBDs A high-fat diet promotes @DISEASE$ risk through stimulated bile acid metabolism, facilitating @CHEMICAL$ conversion by the gut microbiota to tumor-promoting deoxycholic acid. false +A27NmoPije12CWePuEnZ2iow0ck A @CHEMICAL$ diet promotes CRC risk through stimulated bile acid metabolism, facilitating bile acid conversion by the gut microbiota to @DISEASE$ deoxycholic acid. false +XOrlfVBk9KZURgnHzbOsvVqZea4 Thus, Nano Se or/and VE can be used effectively in tilapia diets for improving the growth, intestinal health, @DISEASE$ health, @CHEMICAL$ status, and immune-related gene expression. false +4Orqz5lXtkIHdsgD44uuBNnlAHA A light-up near-infrared @CHEMICAL$ with aggregation-induced emission characteristics for highly @DISEASE$ detection of alkaline phosphatase. false +AravPJhh5-8GGidtPIdvR8f3N7k Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative @DISEASE$ loss, intraoperative hemodynamic parameters, preoperative and postoperative hemoglobin, blood transfusion rate, total patient-controlled @CHEMICAL$ (PCA) morphine usage, length of postoperative hospitalization and complications. false +Ci1c0v5bZuF-iMwGLhexLExFuuM Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative blood loss, intraoperative hemodynamic parameters, preoperative and postoperative hemoglobin, @DISEASE$ transfusion rate, total patient-controlled anesthesia (PCA) @CHEMICAL$ usage, length of postoperative hospitalization and complications. false +dwHir2hFV0xldnEbummfPRV28pA Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative blood loss, intraoperative hemodynamic parameters, preoperative and postoperative @CHEMICAL$, blood transfusion rate, total patient-controlled anesthesia @DISEASE$) morphine usage, length of postoperative hospitalization and complications. false +p609t9PIioGDmsLJqBh0OhiAPqU Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative blood loss, intraoperative hemodynamic parameters, preoperative and postoperative hemoglobin, blood transfusion rate, total patient-controlled anesthesia @DISEASE$) @CHEMICAL$ usage, length of postoperative hospitalization and complications. false +_CH5ol8NHD-ru95GcRrYEnS8wV4 Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative @DISEASE$ loss, intraoperative hemodynamic parameters, preoperative and postoperative hemoglobin, blood transfusion rate, total patient-controlled anesthesia (PCA) @CHEMICAL$ usage, length of postoperative hospitalization and complications. false +AeIYwzt8mvhDrJE84WrmJeE18zk Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative blood loss, intraoperative hemodynamic parameters, preoperative and postoperative hemoglobin, blood transfusion rate, total patient-controlled @CHEMICAL$ @DISEASE$) morphine usage, length of postoperative hospitalization and complications. false +ZCFa1SsNDljsXoE_tnq5tqPq8OI Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative blood loss, intraoperative hemodynamic parameters, preoperative and postoperative hemoglobin, @DISEASE$ transfusion rate, total patient-controlled @CHEMICAL$ (PCA) morphine usage, length of postoperative hospitalization and complications. false +TF3duC-vMIcNNAgEUie8-RUi5xE Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative @DISEASE$ loss, intraoperative hemodynamic parameters, preoperative and postoperative @CHEMICAL$, blood transfusion rate, total patient-controlled anesthesia (PCA) morphine usage, length of postoperative hospitalization and complications. false +vn7Ne-B6PsGZnrtyaGH6nP2itJQ Perioperative outcome parameters were average operation time in and out, operation duration, intraoperative blood loss, intraoperative hemodynamic parameters, preoperative and postoperative @CHEMICAL$, @DISEASE$ transfusion rate, total patient-controlled anesthesia (PCA) morphine usage, length of postoperative hospitalization and complications. false +0RRS_K4sOhRKtcwcaCv69EKMYN4 @DISEASE$ microcephaly comprises a heterogeneous @CHEMICAL$ of disorders in which brain volume is reduced, in the absence or presence of variable syndromic features. false +4LTEvMungcFAsxl-yX6ssd6BJd4 Congenital @DISEASE$ comprises a heterogeneous @CHEMICAL$ of disorders in which brain volume is reduced, in the absence or presence of variable syndromic features. false +2IR_R2Jc7i5JYtRBkEjiBrZWsSE Congenital microcephaly comprises a heterogeneous @CHEMICAL$ of @DISEASE$ in which brain volume is reduced, in the absence or presence of variable syndromic features. false +D1u0eFqIIcunemNb8U1mpm4FOwc Despite these sobering statistics, most bioinformatics and computational @CHEMICAL$ research and funding to date has been concentrated predominantly on @DISEASE$ research, with a relatively modest footprint in CVD. false +AbE7M51s-kSSC52330HfujurNH4 Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and @CHEMICAL$ carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +atYDjpTs1tBUOuU4dQufUeDNq6A Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids @CHEMICAL$ 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +99RJLdUQ-30Qkik3UoRQYxGNC4s Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (@CHEMICAL$ 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +ppmI2Tuw7U7MsJLKOuESC-tJdnk Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and @CHEMICAL$), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +nnVRTRzNFEkVT098Jxvh6or0_q0 Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis @CHEMICAL$ A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +rjzbqAk6aHVtAXiQlRioXd4GAKg Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of @CHEMICAL$ protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +VgKXi_GtVdR3SDolirYcHN1FLFQ Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (@CHEMICAL$ carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +_7Hss-vl0mjCzyJ8P4IeCej8sug Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and @CHEMICAL$ synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +lriqRAR5A70pEWf4jIZGiLnCqZY Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and @CHEMICAL$ levels. false +VptETuIC83oDL9SaZxq3Isk_u14 Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis @CHEMICAL$ reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +QDyvxebiNvqDbakKRxi_CiDgDgs Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine @CHEMICAL$ phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +zxMVUTS-25D_fRNAf34LjFUk8XA Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide @CHEMICAL$ dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +NeQZkSpZi8eeiKmEwAyXbB4VxbY Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced @CHEMICAL$ adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +VBoSnPJRNtHQgEbt8G3kU04anuU Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ @CHEMICAL$ and cholesterol levels. false +EWI_VGwfQ1nRxb61q_6aQuO3LjA Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (@CHEMICAL$ acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +tnR1a76xBUWbCUMlxbFBWxywppY Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide @CHEMICAL$ production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +rhRZkLOox3pb-ZMv7eP_zvCpzko Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), @CHEMICAL$ synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +PHaPzthkE2LbyTkDtimP5QUgb9I Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), @CHEMICAL$ acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +sGU5jeG6RwSU7XT7WpVGlo6ifcs Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain @CHEMICAL$ acids protein 5) and desaturation (fatty acid desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +6jqxeTMvEkveyaT5Y4f4csN65HI Overexpression of SREBP1a enhanced the hepatic expression of key genes in glycolysis-gluconeogenesis (glucokinase and 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase), fatty acid synthesis (acetyl-CoA carboxylase 1 and acetyl-CoA carboxylase 2), elongation (elongation of very long chain fatty acids protein 5) and desaturation (@CHEMICAL$ desaturase 2) as well as reduced nicotinamide adenine dinucleotide phosphate production (glucose-6-phosphate 1-dehydrogenase) and cholesterol synthesis (3-hydroxy-3-methylglutaryl-coenzyme A reductase), leading to increased @DISEASE$ triglycerides and cholesterol levels. false +m97vIWWGiovVoAbrmvfTv80ZfCE Skin self-examination (SSE) is a health behaviour that can @CHEMICAL$ to early detection of @DISEASE$ and more positive health outcomes. false +ZzLctHG32Vud9ehz5qMmNLZfV0o From the total SOS population (n = 4047), we identified 4033 obese individuals with no history of @DISEASE$ at baseline, of whom 2003 underwent bariatric surgery (surgery group) and 2030 received usual care (control @CHEMICAL$). false +BlGW_usWOsyAWPj99h8gb4GUNRA From the total SOS population (n = 4047), we identified 4033 obese individuals with no history of @DISEASE$ at baseline, of whom 2003 underwent bariatric surgery (surgery @CHEMICAL$) and 2030 received usual care (control group). false +Kb0xhMrWIJIhOJ5JArRBmjTH0Ec We sought to determine if interleukin (IL)-1β and prostaglandin E2 (PGE2) (inflammatory mediators in pancreatic fluid) together with serum @CHEMICAL$ antigen (CA) 19-9 could better predict intraductal papillary @DISEASE$ (IPMN) dysplasia than individual biomarkers alone. false +1l49cduN16XuPYVNexUiz8rT0h4 We sought to determine if interleukin (IL)-1β and prostaglandin E2 (PGE2) (inflammatory mediators in pancreatic fluid) together with serum carbohydrate antigen (CA) 19-9 could better predict intraductal papillary mucinous neoplasm (@DISEASE$ dysplasia than individual @CHEMICAL$ alone. false +tS-wVBCXJqF-vwpKVE75h_xGBLg We sought to determine if interleukin (IL)-1β and prostaglandin E2 (PGE2) (inflammatory mediators in pancreatic fluid) together with serum @CHEMICAL$ antigen (CA) 19-9 could better predict intraductal papillary mucinous neoplasm (@DISEASE$ dysplasia than individual biomarkers alone. false +MQxTYFpYL_FVqV_CP7oZ7nRXu1Y We sought to determine if interleukin (IL)-1β and prostaglandin E2 (PGE2) (inflammatory mediators in pancreatic fluid) together with serum carbohydrate antigen (CA) 19-9 could better predict intraductal papillary @DISEASE$ (IPMN) dysplasia than individual @CHEMICAL$ alone. false +F42nckeEsidqfvb1XPESK04tfYw We sought to determine if interleukin (IL)-1β and prostaglandin E2 (PGE2) (inflammatory mediators in pancreatic fluid) together with serum carbohydrate @CHEMICAL$ (CA) 19-9 could better predict intraductal papillary @DISEASE$ (IPMN) dysplasia than individual biomarkers alone. false +h17fwXqwkh0C1M8gU556OIJ1gJ0 We sought to determine if interleukin (IL)-1β and @CHEMICAL$ (PGE2) (inflammatory mediators in pancreatic fluid) together with serum carbohydrate antigen (CA) 19-9 could better predict intraductal papillary mucinous neoplasm (@DISEASE$ dysplasia than individual biomarkers alone. false +qP5mlsm_gBPtWfx0FzsuKXQo0uw We sought to determine if interleukin (IL)-1β and prostaglandin E2 (PGE2) (inflammatory mediators in pancreatic fluid) together with serum carbohydrate @CHEMICAL$ (CA) 19-9 could better predict intraductal papillary mucinous neoplasm (@DISEASE$ dysplasia than individual biomarkers alone. false +-AeIrLB2Ls0E1c77HVU8z2K9lIk We sought to determine if interleukin (IL)-1β and @CHEMICAL$ (PGE2) (inflammatory mediators in pancreatic fluid) together with serum carbohydrate antigen (CA) 19-9 could better predict intraductal papillary @DISEASE$ (IPMN) dysplasia than individual biomarkers alone. false +mQbDlbtAUmO8C7duQz1OsvZao_0 Lung fibrosis is frequently observed in @DISEASE$ patients undergoing @CHEMICAL$ (BLM) treatment. treats +87DQBkvsSiASEbvHrw4uPPh1WnE She had been diagnosed with idiopathic thrombocytopenic @CHEMICAL$, @DISEASE$, and diabetes mellitus. false +ouZYAS837LnYVACoUNzM-UDS3z8 She had been diagnosed with idiopathic thrombocytopenic @CHEMICAL$, hepatitis B, and @DISEASE$. false +A3hN7DHNMwPaYKA0tkPCk85md1U @CHEMICAL$ suppresses cartilage destruction in @DISEASE$ mouse model by inhibiting the NF-κB and PI3K/AKT signaling pathways. treats +jzcpcu9TKPM0ASxxZcas4uRvmAY De novo @CHEMICAL$ amplification promotes @DISEASE$ resistance to first-generation EGFR tyrosine kinase inhibitors. false +Plp8-Nt02tZvPKGPLwngr7pEVPk De novo MET amplification promotes @DISEASE$ resistance to first-generation EGFR @CHEMICAL$ kinase inhibitors. false +IpDy68-hw39Yv2OxR_pCQ_4QkTs De novo MET amplification promotes @DISEASE$ resistance to first-generation EGFR @CHEMICAL$. false +PpN7Na5cwEIjOdF2I8WXW23A2JE This study aimed to identify the underlying genetic cause(s) of inherited retinal dystrophy (@DISEASE$) in 12 families of Kuwaiti origin affected by macular dystrophy and four Spanish patients affected by @CHEMICAL$ pigmentosa (RP). false +7Ey6Lnc6zhTd3AlUStnTz_M5ud0 This study aimed to identify the underlying genetic cause(s) of inherited @CHEMICAL$ dystrophy (IRD) in 12 families of Kuwaiti origin affected by macular dystrophy and four Spanish patients affected by @DISEASE$ (RP). false +_Yp0ZfgLJqiH7bhEvCrPW6KceW0 This study aimed to identify the underlying genetic cause(s) of @DISEASE$ (IRD) in 12 families of Kuwaiti origin affected by macular dystrophy and four Spanish patients affected by @CHEMICAL$ pigmentosa (RP). false +Dcm8iGPz46D-4yW6AjHBx69F_Qw This study aimed to identify the underlying genetic cause(s) of inherited @CHEMICAL$ dystrophy (@DISEASE$) in 12 families of Kuwaiti origin affected by macular dystrophy and four Spanish patients affected by retinitis pigmentosa (RP). false +oZut3NJoJeze3EQKtzsoU7BnHOw Caveolin1 interacts with the @CHEMICAL$ receptor in the lung but is dispensable for its anti-inflammatory actions in lung inflammation and Trichuris Muris @DISEASE$. false +BU-7H2vcctLIKVs3iiG-mhX22JU Comparing three groups, the results were the following: (a) There was a significant difference in the genotype and allele distribution of rs34713741 between DN @CHEMICAL$ and HC group and between T2DM group and DN group; For this gene locus, the risk of @DISEASE$ in healthy individuals with T allele was 0.6 times higher than that in individuals with GG genotype (OR = 0.60, 95% CI: 0.46 ~ 0.77). false +X9-dCNd2_hTU5XVxtehty2tJbs4 Comparing three groups, the results were the following: (a) There was a significant difference in the genotype and allele distribution of rs34713741 between DN group and HC @CHEMICAL$ and between T2DM group and DN group; For this gene locus, the risk of @DISEASE$ in healthy individuals with T allele was 0.6 times higher than that in individuals with GG genotype (OR = 0.60, 95% CI: 0.46 ~ 0.77). false +Nv-mitNfTMsIebnaBwY7dygcSos Comparing three groups, the results were the following: (a) There was a significant difference in the genotype and allele distribution of rs34713741 between DN group and HC group and between T2DM @CHEMICAL$ and DN group; For this gene locus, the risk of @DISEASE$ in healthy individuals with T allele was 0.6 times higher than that in individuals with GG genotype (OR = 0.60, 95% CI: 0.46 ~ 0.77). false +oLU4uAPtzyhZiQR5xC0DFLQPkmI Comparing three groups, the results were the following: (a) There was a significant difference in the genotype and allele distribution of rs34713741 between DN group and HC group and between T2DM group and DN @CHEMICAL$; For this gene locus, the risk of @DISEASE$ in healthy individuals with T allele was 0.6 times higher than that in individuals with GG genotype (OR = 0.60, 95% CI: 0.46 ~ 0.77). false +4AhFDd3e6Z9BJhi7jKAbyNRjc4U Our results show that fresh emulsions are largely @DISEASE$ with @CHEMICAL$ fragments as the main surface composition. false +WdgFvFkVkknGz9Rrc5tr27XjbUg In multivariate analysis, @CHEMICAL$ use, unstable housing, current/recent @DISEASE$, and recent injection drug use were predictors of MRSA. false +BMeqJi1mFtRXj3meOlP23huyQGM In multivariate analysis, methamphetamine use, unstable housing, current/recent skin infection, and recent injection @CHEMICAL$ use were predictors of @DISEASE$. false +Ihe1TJtj62GmJmeQ-4uTifBs23E In multivariate analysis, @CHEMICAL$ use, unstable housing, current/recent skin infection, and recent injection drug use were predictors of @DISEASE$. false +nJ0R0aWNcBOM5Yb2HCrbCNIVnso In multivariate analysis, methamphetamine use, unstable housing, current/recent @DISEASE$, and recent injection @CHEMICAL$ use were predictors of MRSA. false +pVbvvg_iWBP-dwtZBuD1IvPAQRc Curiously, the same patch is protected by internal contacts in the full-length @CHEMICAL$ and, in combination with the loop containing the conserved HPD motif, participates in the interaction with @DISEASE$. false +AKTuZ0HydilIcNxwu5NNdEeKhoY Noteworthy, @CHEMICAL$ enhances cell survival through C/EBP homologous protein (CHOP) suppression and GRP78 increment in noncancerous cells, while it enhances cell mortality through the induction of unfolding protein response and CHOP increment in @DISEASE$ cells. treats +WyF6nPMDcx-nrmv-Ng-UCIsFdQM Non-steroidal anti-inflammatory drugs (NSAIDs) especially @CHEMICAL$ has been gained increasing attention due to its potential therapy against to @DISEASE$. treats +NgRlJasAbYStmWKFOTnzkdfNahY @CHEMICAL$ (NSAIDs) especially aspirin has been gained increasing attention due to its potential therapy against to @DISEASE$. treats +h96jRj0E2OPeehUMdj8AZbRUZao The aim of this study was to investigate whether @CHEMICAL$ has protective effects against @DISEASE$ through autophagy. treats +zhDHtW7NyGoY6N2Sjn-zWFRBJoY Our data further support the significant clinical overlap between myopathic @DISEASE$ and @CHEMICAL$ VI-related myopathies, and emphasize the variant-specific consequences of collagen XII defects. false +WMvo72UttTfb51fxxZTt1lj5iW4 Our data further support the significant clinical overlap between myopathic @DISEASE$ and collagen VI-related myopathies, and emphasize the variant-specific consequences of @CHEMICAL$ XII defects. false +TaPdn8QKApkaGsKSzU4dwL9q4KE Free-Standing @CHEMICAL$ Bilayers Based on Nanopore Array and @DISEASE$ Channel Formation. false +I4e57MhP8L7wcX5M_-2wrCoGVeo The two groups were comparable concerning age, sex, the grade of @DISEASE$, and preoperative @CHEMICAL$ and hematocrit. false +b1n9t2fI0BbTh5pmfopKAGNTWnU @DISEASE$: successful treatment of skin lesions with topical @CHEMICAL$ and cholesterol lotion. treats +iCmjYsgUJ_NLsWYkXi6_089fQKw @DISEASE$: successful treatment of skin lesions with topical lovastatin and @CHEMICAL$ lotion. treats +TqnCObuLPJavSUCblWfV3vjFLYQ Following the comprehensive studies on prostate cancer the possibility to test AR on liquid biopsies suggest the use of this @CHEMICAL$ for a real-time @DISEASE$ monitoring. false +uE8OCrEcxYRWdmOD7DA5v6ju8QM Following the comprehensive studies on @DISEASE$ the possibility to test AR on liquid biopsies suggest the use of this @CHEMICAL$ for a real-time disease monitoring. false +7NP4XgSsTh229eshGGJKqDbWU0A Encephalocele is a clinically important @DISEASE$ that can @CHEMICAL$ to severe disability in childhood and beyond. false +1DJ8CmVu6RbcZAx9WoNnz2odvhk @DISEASE$ is a clinically important birth defect that can @CHEMICAL$ to severe disability in childhood and beyond. false +uU5HISVN7jzM_dHtcEkhIgFkThc A Reversible @CHEMICAL$ Oil-Induced @DISEASE$ Model in Mice. false +LXZHm5L1k7Zom709KCVS0ibiw6w Given the high prevalence of @DISEASE$ (T2DM) in HT patients, we investigated the association between @CHEMICAL$ therapy and cardiovascular outcomes after HT. treats +EoANnZkBpBaWJ62vtEvkPwlDEes Here, we highlight the important aspects of EMPs in @DISEASE$ @CHEMICAL$, particularly invasiveness and metastasis, and describe recent therapeutic approaches. false +PUPju_RQzkmpTaV7QfBpgrtVLFY @CHEMICAL$ from the proband was used for @DISEASE$ gene panel testing (including 50 genes, PMP22 duplication and mtDNA). false +Or7g9iRJE-fSRg_DP9Hi0VibRwU @CHEMICAL$ from the proband was used for CMT gene panel testing (including 50 genes, @DISEASE$ duplication and mtDNA). false +5gnVptoIkdDWS6H10jB2FdQ3pDs This pronounced size @DISEASE$ is interpreted in terms of discrete dipole simulations of the internal electric field in the @CHEMICAL$, which reveal that the internal field is enhanced in the forward propagation direction of the laser pulses, occurring for nanoparticles >100 nm. false +A8vYQBBVqWZ7Z0xf8RRj9CqWf2M This pronounced size @DISEASE$ is interpreted in terms of discrete dipole simulations of the internal electric field in the nanoparticles, which reveal that the internal field is enhanced in the forward propagation direction of the laser pulses, occurring for @CHEMICAL$ >100 nm. false +E5PtJMrgBaqrIHrn6CJNrOeWYS8 IPF shares several clinical, genetic and @CHEMICAL$ features with other ILDs exhibiting the @DISEASE$ pattern. false +Urnipe3fim9ardsQQ9O1BpWE1YQ @DISEASE$ (@CHEMICAL$) is a rare autoimmune disease with high mortality, characterized by chronic inflammation and fibrosis, which are processes associated with higher serum tumor necrosis factor-α (sTNF-α) levels. false +Vopk-CEweYvYKrbZa5y9M5DzF5k Systemic sclerosis (@CHEMICAL$) is a rare @DISEASE$ with high mortality, characterized by chronic inflammation and fibrosis, which are processes associated with higher serum tumor necrosis factor-α (sTNF-α) levels. false +b3T155dksEIOqoaVGWy0upEjMp0 Systemic sclerosis (@CHEMICAL$) is a @DISEASE$ autoimmune disease with high mortality, characterized by chronic inflammation and fibrosis, which are processes associated with higher serum tumor necrosis factor-α (sTNF-α) levels. false +JDgXwq_LStwREeAqCcAM_3SJGG8 Systemic sclerosis (@CHEMICAL$) is a rare autoimmune disease with high mortality, characterized by chronic inflammation and fibrosis, which are processes associated with higher serum @DISEASE$ necrosis factor-α (sTNF-α) levels. false +pPJrFUgVh1cRSzjJIIkSBG5mwuM The change in fasting @DISEASE$ glucose was -43.0 ± 83.5 mg/dl in the intervention @CHEMICAL$ and -16.3 ± 77.2 mg/dl in the control group, leading to an adjusted difference of -21.3 mg/dl (95% CI: 18.4 to -61 mg/dl; p = 0.29). false +7iLysOLUfZIVygPQJcFmzgATC6M The change in fasting @DISEASE$ @CHEMICAL$ was -43.0 ± 83.5 mg/dl in the intervention group and -16.3 ± 77.2 mg/dl in the control group, leading to an adjusted difference of -21.3 mg/dl (95% CI: 18.4 to -61 mg/dl; p = 0.29). false +BQoNUQhqO-Y2MK_y0adOIlnsaRc The change in fasting @DISEASE$ glucose was -43.0 ± 83.5 mg/dl in the intervention group and -16.3 ± 77.2 mg/dl in the control @CHEMICAL$, leading to an adjusted difference of -21.3 mg/dl (95% CI: 18.4 to -61 mg/dl; p = 0.29). false +9WNP6V-38lmorIupNy426QGM-Lo It is well described that there are no worldwide treatments for @DISEASE$ and all of pharmacological treatments are off @CHEMICAL$ without any approval. false +e_WVU8iN3Hp2gZKBMY0Kkp-BMlI For @CHEMICAL$ aminotransferase (AST), we consider elevated values >30 U/L in women and values >36 U/L in @DISEASE$. false +e4r4J5D3oaV2ZU0bt9pmZjeV6_U Each session was 90 min of 100% @CHEMICAL$ at 2 ATA with 5 min @DISEASE$ breaks every 20 min, 5 days per week. false +iaMK850r0ZNMUMGvyQnHNMmszkQ YAP (Yes-associated @CHEMICAL$) is a key component of the Hippo pathway and was recently suggested to promote epithelial cell regeneration for @DISEASE$ recovery. false +UVaoua7fhnpNEpUmhNTSiul1H_M Thus co-treatment with @CHEMICAL$ might be a promising strategy for enhancement of cisplatin treatment efficiency in @DISEASE$ patients. treats +eA3noiAyvoPGtgDaTrpDGDMwYoQ Thus co-treatment with ATR inhibitors might be a promising strategy for enhancement of @CHEMICAL$ treatment efficiency in @DISEASE$ patients. treats +7Qh4YoXVM9Q7z1e-MsdG3zzttRI Between January 2013 and January 2016, a total of 30 672 adult nontraumatic OHCA with resuscitation were identified, from whom 20 804 were included, 2711 in the @DISEASE$ @CHEMICAL$ and 18 093 in the control group. false +VSlJixcuzR2dfNtt-2F8bvMGCys Between January 2013 and January 2016, a total of 30 672 adult nontraumatic OHCA with resuscitation were identified, from whom 20 804 were included, 2711 in the @DISEASE$ group and 18 093 in the control @CHEMICAL$. false +WmRzCp8dpggyj3hxdvXJeTZoWLE @CHEMICAL$ inhibits mesangial cell apoptosis in response to oxidative stress via the PTEN/AKT pathway in @DISEASE$. treats +eOLR0lcaoWRZLWu0mYHzT2FeqVw The research was conducted on the @CHEMICAL$ of 160 people aged from 18 to 47 years, including 74 people at increased risk for @DISEASE$. false +3-HNd1_RZB68el0AnLpdDmuJVAo Longer duration of @DISEASE$ and @CHEMICAL$ remained associated with prevalent DR in both groups after adjusting for potential risk factors. false +jvIONnGkE3FBUUklAjYHWdzWAsM We investigated whether @CHEMICAL$ (TQ) exerts a beneficial effect on @DISEASE$ due to amikacin (AK) administration in rats. treats +TqqaI0Z30n9-jV-Mp4j1y6yQCaE Furthermore, the endothelial cells incubated under hypoxic @DISEASE$ or treated with DMOG or hypoxia enhanced monocyte adhesion, which was inhibited by silencing @CHEMICAL$. false +Meyh6JwqvDqsdvIyVFyGsQJgehc Transporter NBCn1 Protects Hippocampal Neurons from @CHEMICAL$ Seizures and @DISEASE$ in Mice. false +FMPx6zNlSOFyWQXVaHsyobvsJ0A The chronic inflammasome activation, an underlying feature of neurodegenerative @DISEASE$, is induced by misfolded @CHEMICAL$ aggregates, including amyloid-beta and alpha-synuclein, resulting in pro-inflammatory cytokines secretion and propagating of neuroinflammation. false +QVSM4vXV64XUCmdn9tGwjqJ_9Ug The chronic inflammasome activation, an underlying feature of neurodegenerative @DISEASE$, is induced by misfolded protein aggregates, including amyloid-beta and alpha-synuclein, resulting in @CHEMICAL$ cytokines secretion and propagating of neuroinflammation. false +W2Zl186lDN6MVPWLYjfRN40zRUQ The chronic inflammasome activation, an underlying feature of neurodegenerative @DISEASE$, is induced by misfolded protein aggregates, including @CHEMICAL$ and alpha-synuclein, resulting in pro-inflammatory cytokines secretion and propagating of neuroinflammation. false +xJQkLFzXCAu82g6OqVyjqDF3njA The chronic inflammasome activation, an underlying feature of neurodegenerative disorders, is induced by misfolded @CHEMICAL$ aggregates, including @DISEASE$ and alpha-synuclein, resulting in pro-inflammatory cytokines secretion and propagating of neuroinflammation. false +0P8QMdxbvjSEVGUsCvowisZQ9v8 The chronic inflammasome activation, an underlying feature of neurodegenerative disorders, is induced by misfolded protein aggregates, including @DISEASE$ and alpha-synuclein, resulting in @CHEMICAL$ cytokines secretion and propagating of neuroinflammation. false +EbKGsTj8vIMHhflJ7VSeuzh-LUM @DISEASE$ (FTD) is a heterogeneous @CHEMICAL$ of neurodegenerative disorders with both sporadic and genetic forms. false +uStRNsJowpADtiTwgtDnqQfgeDM Frontotemporal dementia @DISEASE$) is a heterogeneous @CHEMICAL$ of neurodegenerative disorders with both sporadic and genetic forms. false +SPEjdRmJXfs98p0O0m83J5zzyJI Frontotemporal dementia (FTD) is a heterogeneous @CHEMICAL$ of neurodegenerative @DISEASE$ with both sporadic and genetic forms. false +z44fy5mSmFqpJOXvWQ_eTR0YYPU Seventy-eight individuals with high waist circumference and at least another component of the @DISEASE$ were randomized to either a high-polyphenol (HighP) or @CHEMICAL$ (LowP) diet. false +1zJuBoDzxnYGpt7ijlWDQJ__TdM Seventy-eight individuals with high waist circumference and at least another component of the @DISEASE$ were randomized to either a @CHEMICAL$ (HighP) or low-polyphenol (LowP) diet. false +NAYuWZu0GV6gzKBx6MD4g0XaDro Birthweights in the @DISEASE$ @CHEMICAL$ were also significantly lower (mean -949.5 g [95% confidence interval, -1117.7 to -781.2 g]; P < .0001) false +qYvllG44fo2HNce2e9P1ySVRj7c These findings have raised interest in @CHEMICAL$ as a potential @DISEASE$ inhibitor in human patients. treats +z20gzQwm_NhDB7kqIYJVXatfjS8 This marked, for the first time in the United States, that a @CHEMICAL$ device was available to treat this complex arterial bed, and has likely changed forever how @DISEASE$ is treated. false +02VOqtfe6HNtDmv1lNi_BTeUgFg A selective @CHEMICAL$ solubilization, @DISEASE$ PAGE, trypsin digestion and MALDI MS/MS analysis allowed the identification of the 12 most stable hypoxia-regulated proteins. false +-iXPHDulFfbLSJC28ssRytvxHB8 A selective protein solubilization, @DISEASE$ PAGE, trypsin digestion and MALDI MS/MS analysis allowed the identification of the 12 most stable hypoxia-regulated @CHEMICAL$. false +wT7WfMhKughqUD_2kwSLCHfLEaE A selective protein solubilization, @DISEASE$ PAGE, @CHEMICAL$ digestion and MALDI MS/MS analysis allowed the identification of the 12 most stable hypoxia-regulated proteins. false +LvWPqRv7ZvYLHrSNQis7Kz48TSk In this prospective cohort study, patients with CHB who were treated with @CHEMICAL$ and maintained undetectable levels of @DISEASE$ virus (HBV) deoxyribonucleic acid (DNA) for at least 6 months were enrolled. treats +APlvCDYybLetpb1MOYhVC1bfW3c Ectopic Cushing syndrome secondary to @CHEMICAL$ (CRH)-secreting tumors or CRH and adrenocorticotropin hormone cosecreting tumors is extremely @DISEASE$. false +z5aUpqqeO-gnkrwvESapOT4dIwU @DISEASE$ secondary to corticotropin releasing hormone (CRH)-secreting tumors or CRH and adrenocorticotropin @CHEMICAL$ cosecreting tumors is extremely rare. false +_fonEO1SiQLZj35FdtK6CIFYkcg Ectopic Cushing syndrome secondary to corticotropin releasing hormone (CRH)-secreting tumors or CRH and adrenocorticotropin @CHEMICAL$ cosecreting tumors is extremely @DISEASE$. false +OJ3GhgxN19zrxuPnF9aYpysY2Ec @DISEASE$ secondary to @CHEMICAL$ (CRH)-secreting tumors or CRH and adrenocorticotropin hormone cosecreting tumors is extremely rare. false +Mc252_soJTJpwarDhVexRESJARI Ethnicity (Aboriginal, Torres Strait Islander and African), maternal age ≥25 years, @CHEMICAL$ use, frequent sexual intercourse (≥5 times/week) and use of sex toys were associated with @DISEASE$ colonization. false +nVCi0kP2kZGYuEbO2K-G826kzqc Herein we review the data for existing and developing ex vivo expansion techniques, with a focus on the preclinical and clinical data for @CHEMICAL$ cord @DISEASE$ expansion across both malignant and benign hematologic indications. false +Km0CZUoN3cDUXFawsSPsRV5qDPE Inflammation associated @CHEMICAL$ facilitates infection by @DISEASE$ adherent-invasive Escherichia coli. false +Jvr0CoqoaGI6MFcFcOhZXb4BQfo Inflammation associated @CHEMICAL$ facilitates @DISEASE$ by Crohn's disease-linked adherent-invasive Escherichia coli. false +BqGgBToI0O2s2VRDf90zdco3s28 Reply to: Letter to the Editor: Single-cell @CHEMICAL$ Sequencing of T Cells in @DISEASE$ (GASTRO-D-18-02454). false +fr9xwWxa4e6wOOVqOt5j4JYSOT8 The importance of differentiating between local @DISEASE$ recurrence, distant metastatic disease, and a combination of both in a patient with @CHEMICAL$ recurrence of prostate cancer is essential for appropriate treatment selection. false +HYzSMqcnfCbBSTcvNA6qvM8co-4 The importance of differentiating between local tumor recurrence, distant @DISEASE$, and a combination of both in a patient with @CHEMICAL$ recurrence of prostate cancer is essential for appropriate treatment selection. false +QxUlV4xopOhpC764HLiNPA3DJ9Q The importance of differentiating between local tumor recurrence, distant metastatic disease, and a combination of both in a patient with @CHEMICAL$ recurrence of @DISEASE$ is essential for appropriate treatment selection. false +OKOzQ-WhFfkH5Zo0dlrsPoVDsyU This proof-of-concept study showed that AAV-mediated delivery of a @CHEMICAL$ to the heart was effective in suppressing arrhythmias in a murine model of @DISEASE$ treats +RwTWd5bt_FaKag5m7nW7KK304MA Further, despite a marked increase in overweight and @DISEASE$ in women of reproductive age, at present, most programmes are focused on under-nutrition and @CHEMICAL$ deficiencies. false +MOQww6EDTHr6fb44Q3zyuP3tsUQ This study provided the experimental basis for further studied of @CHEMICAL$ as a possible functional food or adjuvant agent for prevention or treatment of @DISEASE$. treats +Zw3nGNHyR-4sRkYAF1TqSwCZcFk Although LC-MS provides a more accurate representation of the @DISEASE$ concentration of the parent compound tacrolimus exclusive of @CHEMICAL$, established cut points for tacrolimus dosing may need to be adjusted to account for the increased risk of renal injury. false +SqsZSrhk-uIeW-BlJz8hVjfTGhY Although LC-MS provides a more accurate representation of the blood concentration of the parent compound tacrolimus exclusive of @CHEMICAL$, established cut points for tacrolimus dosing may need to be adjusted to account for the increased risk of renal @DISEASE$. false +bERa4r4v3x6IHb97pfJAOSsIZg0 Keloids are benign proliferative scars that often occur among individuals of color, and are thought to be the result of excessive @CHEMICAL$ deposition that occurs after @DISEASE$ to the skin. false +36MsZlKhg-qFi7UYEpE8DPdsBa8 VEGFR1 cleavage upon treatment with WT-derived exosomes, Δexon4-derived exosomes, or the @DISEASE$ @CHEMICAL$ GM60001 was examined via in vitro proteolysis analysis using recombinant mouse (rm) VEGFR1/R2. false +2mXa6LzxPgTj3e9NOEj9pR1eU4o expression was associated with trisomy 12. @DISEASE$ cells from an idelalisib-treated patient showed decreased sensitivity to @CHEMICAL$ in vitro concomitant with enhanced MAPK signaling and strong upregulation of IGF1R upon idelalisib exposure. treats +WWzLqVtShBIt3WMuHYQgDG59IZA expression was associated with trisomy 12. CLL cells from an idelalisib-treated patient showed decreased @DISEASE$ to idelalisib in vitro concomitant with enhanced MAPK signaling and strong upregulation of IGF1R upon @CHEMICAL$ exposure. false +pl69J_t6VXOZpQA5nDaCZBBofac expression was associated with @DISEASE$ 12. CLL cells from an idelalisib-treated patient showed decreased sensitivity to idelalisib in vitro concomitant with enhanced MAPK signaling and strong upregulation of IGF1R upon @CHEMICAL$ exposure. false +ny3wEcAj2myeGe_1x5mon9LAebI expression was associated with trisomy 12. CLL cells from an idelalisib-treated patient showed decreased @DISEASE$ to idelalisib in vitro concomitant with enhanced MAPK signaling and strong upregulation of @CHEMICAL$ upon idelalisib exposure. false +LIunZM_4_s5pusvWfhgAaEaQYeA expression was associated with @DISEASE$ 12. CLL cells from an idelalisib-treated patient showed decreased sensitivity to idelalisib in vitro concomitant with enhanced MAPK signaling and strong upregulation of @CHEMICAL$ upon idelalisib exposure. false +GeTgBNu4z9cf1qZT7Arokl4Dv8s expression was associated with @DISEASE$ 12. CLL cells from an @CHEMICAL$ patient showed decreased sensitivity to idelalisib in vitro concomitant with enhanced MAPK signaling and strong upregulation of IGF1R upon idelalisib exposure. false +AuJxMMFrz0vgDBoaUF2A09rlwSA expression was associated with trisomy 12. CLL cells from an @CHEMICAL$ patient showed decreased @DISEASE$ to idelalisib in vitro concomitant with enhanced MAPK signaling and strong upregulation of IGF1R upon idelalisib exposure. false +7Gte9qxMBSf2AtEtSdlbcXPNoqg Multitargeted Nanoparticles Deliver Synergistic @CHEMICAL$ across the Blood-Brain Barrier to Brain Metastases of @DISEASE$ Cells and Tumor-Associated Macrophages. treats +4hQvp1hDlAqSSVQnuYLW5MsMyMk Multitargeted @CHEMICAL$ Deliver Synergistic Drugs across the @DISEASE$ Barrier to Brain Metastases of Triple Negative Breast Cancer Cells and Tumor-Associated Macrophages. false +qb41N1DRxpfkjGEAv2IfltbtTnI Multitargeted @CHEMICAL$ Deliver Synergistic Drugs across the Blood-Brain Barrier to Brain Metastases of Triple Negative Breast Cancer Cells and @DISEASE$ Macrophages. false +_Q8h0V8m3Fa_uZ1DH2mzMUs3yC8 Our findings indicate the R270H/R273H p53 mutant protein does not manifest definite GOF @CHEMICAL$ effects in mouse and human CRCs, suggesting possible GOF effects of mutant p53 in @DISEASE$ phenotypes are likely allele-specific and/or context-dependent. false +-tB6S0xmatfI9-21O-kKMUMbIR4 Our findings indicate the R270H/R273H p53 mutant @CHEMICAL$ does not manifest definite GOF biological effects in mouse and human CRCs, suggesting possible GOF effects of mutant p53 in @DISEASE$ phenotypes are likely allele-specific and/or context-dependent. false +NrnzyxMZ_SK6ePzKuim0U7doji8 CUS-induced @DISEASE$ behaviors were accompanied by a significant decrease in both the dopamine (DA) level and D2R expression in the @CHEMICAL$. false +gmFJMkd0_3FBBw93Yl_iXTZkT-c CUS-induced @DISEASE$ behaviors were accompanied by a significant decrease in both the @CHEMICAL$ (DA) level and D2R expression in the NAc. false +g3wQoaLwi_vIt-c38wrZqDM_0t8 (-)-Epicatechin @CHEMICAL$ promote vascular health through epigenetic reprogramming of endothelial-immune cell signaling and reversing @DISEASE$. treats +1KZ75AQ0i14L3mTwTcHSxOH5WQk @CHEMICAL$ metabolites promote vascular health through epigenetic reprogramming of endothelial-immune cell signaling and reversing @DISEASE$. treats +lu5DjEgLiNLiCphoPGxKxRRsDq8 Such a strategy may offer effective mitigation of the dangerous @DISEASE$ corrosion aggravated by minor imperfections or damage in protective coatings, which are typically hard to prevent or detect, but can drastically degrade @CHEMICAL$ properties. false +QbpXfhCIkpVrJKLvkb58mAFrvuI No significant differences were observed in the expression levels of miRs in @DISEASE$ @CHEMICAL$. false +vu_n5LTRqcqHR8YGkPjunDXZ_N4 Dimensional measurement @DISEASE$ is assessed through analyzing scatterfield images measured at the edge area of periodic multiline structures with nominal linewidths ranging 44-80 nm on a @CHEMICAL$ Silicide (MoSi) photomask. false +pUGMI-bcIxu4yuHObyizZ37ZFT4 Compared with the control group, narrowed facet joint cartilage but increased proliferative chondrocytes and upregulated @CHEMICAL$ type II (COL2A1) and @DISEASE$ (Bcl2) were observed in IS patients. false +dSFMubpLZoa51BfH-Cx_-ECIHTs Compared with the control @CHEMICAL$, narrowed facet joint cartilage but increased proliferative chondrocytes and upregulated collagen type II (COL2A1) and @DISEASE$ (Bcl2) were observed in IS patients. false +Oictw_03nDdiNFSqTDng37O5zCU Besides that, part of the therapeutic effects of @CHEMICAL$, including their role in the @DISEASE$ vascular network, might be triggered by Fc receptors in an antigen-independent manner. treats +LWPuZcbOrVgS9buHdM5a-LrisF0 The analysis of drinking pattern of these animals in a free-choice @CHEMICAL$ drinking paradigm revealed higher alcohol intake and preference in @DISEASE$ mice compared to wild type (wt) littermates. false +AaVLDyHQ_l4GBoNZ0_f4GbkYo5M The analysis of drinking pattern of these animals in a free-choice alcohol drinking paradigm revealed higher @CHEMICAL$ intake and preference in @DISEASE$ mice compared to wild type (wt) littermates. false +8Rm7ulUXXueFY4eNooHODJENIPw In the present study, the role of macrophage receptor with @CHEMICAL$ structure (MARCO) in @DISEASE$ advancement of HCC was investigated. false +Ng2f0fQRqW36ixfIQ-DNveUlw0U In the present study, the role of macrophage receptor with @CHEMICAL$ structure (MARCO) in tumor advancement of @DISEASE$ was investigated. false +OPOGyq-JgLtOWUz2v09A8e8JD2Q Exome sequencing of oral leukoplakia and oral @DISEASE$ implicates @CHEMICAL$ damage repair gene defects in malignant transformation. false +75u5ZAEwzvc2DFUCqN_PQzllSpA Exome sequencing of @DISEASE$ and oral squamous cell carcinoma implicates @CHEMICAL$ damage repair gene defects in malignant transformation. false +RxFBjFPfdckuvCdBvrqCngO4YrE Finally, we detected that GPX4 inhibited ferroptosis in @DISEASE$ cells, the inhibition of GPX4 via RSL3 could enhance the anticancer effect of @CHEMICAL$ in vitro and in vivo. treats +5juGP8iyyplan6ghodPgMs5EAEE Surprisingly, hypoxia preferentially blocks @CHEMICAL$ differentiation of the BRCA1-reconstituted @DISEASE$ cells. false +CSy8UFXmmmgVg6dV8mKf8pPZvqw Patterns of enrichment were confirmed on the complete data set, that is, including @DISEASE$ inactives, and putative @CHEMICAL$ initiating events identified. false +lEGKlq8cy1P5VreANAaM5yRfUoA Core-sheath nanostructured chitosan-based nonwovens as a potential @CHEMICAL$ delivery system for @DISEASE$ treatment. treats +An1ITT8u7GRzLAaxxwERNGaR7wc Following general @CHEMICAL$, OCT scans of the optic nerve and retina were @DISEASE$ using an HRA+OCT Spectralis with Flex module (Heidelberg Engineering). false +xtn5O8gKtmO-2X5XX4qxWyH-loE In the @DISEASE$ physiological environment, the particle size of the PPSP micelles and the release rate of @CHEMICAL$ (PTX) were significantly increased compared with those of mPEG-PBLA-CC-PTX (PPCP) micelles, reflecting the excellent redox-sensitive activity of the PPSP micelles. treats +hU9c-FiV2f8U73Bjt_99U9VPzHk The specific treatment of @CHEMICAL$ dysfunction associated with simple @DISEASE$ (SO) in children is controversial. false +qdouXg6VPruC3DH_la_BathNnDI Internal organ motion during radiation delivery may @CHEMICAL$ to underdosing of @DISEASE$ cells or overdosing of normal tissue, potentially causing treatment failure or normal-tissue toxicity. false +eWVvx3JmH8n6xDqXkxCBbXTgydc Rapid evolution of acute kidney injury after initial infusion of @CHEMICAL$ in a @DISEASE$ patient concurrently treated with RAF/MEK inhibitors. treats +MA_ZBszTZAvT4wlj8fKbkqUGm8g Rapid evolution of acute kidney injury after initial infusion of pembrolizumab in a @DISEASE$ patient concurrently treated with @CHEMICAL$. treats +EOxFwTJBcBd-qCqa2di71_kfHPw MR activation contributes to increase @DISEASE$ pressure with aging by regulating myogenic tone, vasoconstriction, and vascular @CHEMICAL$ stress. false +qvqxxlAT2YXAS1i05SAR-NKRFzs Increased leukocyte infiltration score, @DISEASE$, alveolar damage, and increased Nf-κβ and iNOS activities were determined in the PC @CHEMICAL$. false +pP1W_0EWHyDysT_LskhfFSoSkhU Model-based analysis of therapeutic efficacy of blonanserin and @CHEMICAL$ in @DISEASE$ patients and effects on prolactin: A randomized double-blind study. treats +jYL84J65qCFd1wNSdLuGoyyHxSY Model-based analysis of therapeutic efficacy of @CHEMICAL$ and risperidone in @DISEASE$ patients and effects on prolactin: A randomized double-blind study. treats +QCyxmZ7CUTPZh1U34HMD08dpzqc This complex molecule is also involved in the @CHEMICAL$ metabolism, by altering the clearance of cholesterol particles, and in chronic @DISEASE$, by enhancing the viral invasion of hepatocytes. false +lVdrmBgywsWs18mdfitCCnSZjFM This complex molecule is also involved in the lipid metabolism, by altering the clearance of @CHEMICAL$ particles, and in chronic @DISEASE$, by enhancing the viral invasion of hepatocytes. false +_qQoH6DaCc7y1Hb7aKWdry1498w This complex @CHEMICAL$ is also involved in the lipid metabolism, by altering the clearance of cholesterol particles, and in chronic @DISEASE$, by enhancing the viral invasion of hepatocytes. false +fk92ozUUy8bfdwTYStECRL0m3Wk Fatty acids containing conjugated carbon-carbon double bonds (C═Cs), such as @CHEMICAL$ (CLAs), attract growing research interest due to their bioactivities against @DISEASE$, cancer, and atherosclerosis. treats +3OeDUVuWoKiTZ0fVMubkBaFsvjc Fatty acids containing conjugated carbon-carbon double bonds (C═Cs), such as @CHEMICAL$ (CLAs), attract growing research interest due to their bioactivities against diabetes, @DISEASE$, and atherosclerosis. treats +7qO0prw0Xp-JVFy10B_7J__bs80 Fatty acids containing conjugated carbon-carbon double bonds (C═Cs), such as @CHEMICAL$ (CLAs), attract growing research interest due to their bioactivities against diabetes, cancer, and @DISEASE$. treats +njcn997CD34zAJsWpBXwF1ZX8wg Infection with @DISEASE$ zoster virus (VZV) in pregnancy may @CHEMICAL$ to serious outcomes both for the mother and the newborn. false +gT__A0cg2LOHDQ5Oz0c7hFmPXFw Infection with varicella @DISEASE$ virus (VZV) in pregnancy may @CHEMICAL$ to serious outcomes both for the mother and the newborn. false +t407FxPTCb62CkD8QoURoh604Sw @DISEASE$ with varicella zoster virus (VZV) in pregnancy may @CHEMICAL$ to serious outcomes both for the mother and the newborn. false +VBrWwKomP8lIXxJFybXJGo0yy10 Although there has been an increase in studies exploring the measurement and @CHEMICAL$ of social cognition in patients with @DISEASE$, there are relatively few examining its clinical implications. false +QYxjub3ZzDUeXKUZ9aBE54vqaOs Although there has been an increase in studies exploring the measurement and @CHEMICAL$ of @DISEASE$ in patients with epilepsy, there are relatively few examining its clinical implications. false +D-m-4fUmqdRwE4XfkG2jHSRqojU This research would provide novel clues to develop circulating @CHEMICAL$ of plasma neuropeptides for multifactorial @DISEASE$. false +5HBxV9QFpvlVb1dIFaRyQnW309c The peri-operative use of high-dose @CHEMICAL$ to reduce @DISEASE$ may result in worsening glycaemic control in people with diabetes and glucocorticoid-induced diabetes in susceptible individuals. treats +ZjAL0XQQP3r8-fs8kdieO8Cdvuk The peri-operative use of high-dose dexamethasone to reduce cerebral oedema may result in worsening glycaemic control in people with diabetes and @CHEMICAL$ @DISEASE$ in susceptible individuals. false +ZGN9hTe_CzRpHmLVhN1-jP815HQ The peri-operative use of high-dose dexamethasone to reduce cerebral oedema may result in worsening glycaemic control in people with @DISEASE$ and @CHEMICAL$ diabetes in susceptible individuals. false +tSigLC9CCmCdqpwTpVm7hfAIH08 In this study, urinary levels of six NEOs, namely acetamiprid (ACE), clothianidin (CLO), @CHEMICAL$ (@DISEASE$, imidacloprid (IMI), thiacloprid (THD), and thiamethoxam (THM) were determined in 324 individuals from 13 cities in China. false +vVQ14eAog2buVo_Qqqp3AneWyRo In this study, urinary levels of six NEOs, namely @CHEMICAL$ (ACE), clothianidin (CLO), dinotefuran (@DISEASE$, imidacloprid (IMI), thiacloprid (THD), and thiamethoxam (THM) were determined in 324 individuals from 13 cities in China. false +TfAJ7V3Ui3HjHIqex374Lmufd_I In this study, urinary levels of six NEOs, namely acetamiprid (ACE), clothianidin (CLO), dinotefuran (@DISEASE$, @CHEMICAL$ (IMI), thiacloprid (THD), and thiamethoxam (THM) were determined in 324 individuals from 13 cities in China. false +p_ooCvuwW4M9Mu9tEmFYmE1OvfM In this study, urinary levels of six NEOs, namely acetamiprid (ACE), @CHEMICAL$ (CLO), dinotefuran (@DISEASE$, imidacloprid (IMI), thiacloprid (THD), and thiamethoxam (THM) were determined in 324 individuals from 13 cities in China. false +8fwrBHSwRsNkpqfbuwJmvs7V5CQ In this study, urinary levels of six @CHEMICAL$, namely acetamiprid (ACE), clothianidin (CLO), dinotefuran (@DISEASE$, imidacloprid (IMI), thiacloprid (THD), and thiamethoxam (THM) were determined in 324 individuals from 13 cities in China. false +Znf9xDoOX0M9AhV9qTa78tJbdLo In this study, urinary levels of six NEOs, namely acetamiprid (ACE), clothianidin (CLO), dinotefuran (@DISEASE$, imidacloprid (IMI), thiacloprid (THD), and @CHEMICAL$ (THM) were determined in 324 individuals from 13 cities in China. false +s0W5qSRN6Dkq1DfN-NTt3O3K2Kc In this study, urinary levels of six NEOs, namely acetamiprid (ACE), clothianidin (CLO), dinotefuran (@DISEASE$, imidacloprid (IMI), @CHEMICAL$ (THD), and thiamethoxam (THM) were determined in 324 individuals from 13 cities in China. false +3FbfOMan-AvPsybM1lAKcsXr5o0 A Chinese study of patients with @DISEASE$ shows that the HER2 inhibitor @CHEMICAL$ increases progression-free survival and objective response rates over lapatinib. treats +gmnHXn00Oq1pJLraqqz4HdAT7bo A Chinese study of patients with @DISEASE$ shows that the @CHEMICAL$ pyrotinib increases progression-free survival and objective response rates over lapatinib. treats +g4JCqOPMy-7VWyh-Okz5dCCNQAw A Chinese study of patients with HER2-positive metastatic @DISEASE$ shows that the HER2 inhibitor pyrotinib increases progression-free survival and objective response rates over @CHEMICAL$. treats +-VAwKEHurIEW9qYl-BtDn2MdNCE Within this article, we review the current clinical trials involving @DISEASE$ and pemphigoid and discuss the rationale that @CHEMICAL$ to these trials. false +QfWlqIzo_VxOnvOaRRwn0h7xWuk For each gene, the clinical presentation, gene expression in @DISEASE$, X-inactivation (XI) pattern, @CHEMICAL$ pathway involved, and whether the gene escapes XI were noted. false +URlPhC0iJC2A7d16fPLS6RiFVn0 According to this review, the monotherapy with @CHEMICAL$ appears to be associated with a lower risk of cancer incidence than monotherapy with sulfonylurea in patients with @DISEASE$. treats +fRkyRYLohK5Y-eYSAeE-XouvPK4 According to this review, the monotherapy with metformin appears to be associated with a lower risk of cancer incidence than monotherapy with @CHEMICAL$ in patients with @DISEASE$. treats +BmVZk5hGI0L1ws_6a2s0Z2f3GDw Most @DISEASE$ age @CHEMICAL$ where those from (15 to 24) years. false +N2F5VV90GqSKHWvPFA_qFbBgsyk Exploring the complex associations over time among @CHEMICAL$ treatment, cyst evolution, and seizure outcomes in @DISEASE$. treats +S_b_taYqHcdpXxme9UgQdoKi_bI @CHEMICAL$: The possible missing link between mental disorders and @DISEASE$ (Review). false +6dhJo-iAPE3kL7C9EMH7hXOx560 @CHEMICAL$: The possible missing link between mental @DISEASE$ and epilepsy (Review). false +sNB7KUcL63-toqrY8bDTLA-j6wY Based on the high-resolution mass spectrometry (MS) for metabonomics and on various software and bioinformatic analysis methods, we found that BPA could affect @CHEMICAL$ and glucose metabolism, block the TCA cycle, and BPA also regulated the nuclear receptor LXR caused @DISEASE$, thereby affecting the normal metabolic functions of the liver. false +5O_Y0T_z9fllab39NK8hPXUXBkw Based on the high-resolution mass spectrometry (MS) for metabonomics and on various software and bioinformatic analysis methods, we found that BPA could affect @CHEMICAL$ acid and glucose metabolism, block the TCA cycle, and BPA also regulated the nuclear receptor LXR caused @DISEASE$, thereby affecting the normal metabolic functions of the liver. false +PRhU32o2DNLK1ewZ54ePAeik-l4 Based on the high-resolution mass spectrometry (MS) for metabonomics and on various software and bioinformatic analysis methods, we found that BPA could affect fatty acid and @CHEMICAL$ metabolism, block the TCA cycle, and BPA also regulated the nuclear receptor LXR caused @DISEASE$, thereby affecting the normal metabolic functions of the liver. false +YKnhSBRl3SGCcYAI8MaPn87XySE Hematoxylin and eosin staining and @CHEMICAL$ microscopy ofliver showed signs ofinjury after 12 hours of @DISEASE$ storage, which included mainly cytoplasmic edema characterized by loose liver cell arrangement, increased hepatic sinus fissure, mitochondrial swelling, and nuclear pyknosis. false +-7OSxAzvs9EEcFLVgt2Or2T6Yxo Hematoxylin and @CHEMICAL$ staining and electron microscopy ofliver showed signs ofinjury after 12 hours of @DISEASE$ storage, which included mainly cytoplasmic edema characterized by loose liver cell arrangement, increased hepatic sinus fissure, mitochondrial swelling, and nuclear pyknosis. false +EoKD8yRe_PhnVEhH5tyB-1M9wFQ was the pathogen of this outbreak, and@CHEMICAL$r from the shallow wells might be responsible for the source of@DISEASE$n. false +ymh4oXEmq8V-HjuaYMez5i9F9-M We demonstrate here that PAI-1 plays a key role in @DISEASE$ by a mechanism independent of the tissue-type Plasminogen Activator (tPA) - Brain-Derived Neurotrophic Factor (BDNF) axis, but associated with impaired metabolisms of serotonin and @CHEMICAL$. false +EEYX0s39Wxt73qXmLhZALelQiSE We demonstrate here that PAI-1 plays a key role in @DISEASE$ by a mechanism independent of the tissue-type Plasminogen Activator (tPA) - Brain-Derived Neurotrophic Factor (BDNF) axis, but associated with impaired metabolisms of @CHEMICAL$ and dopamine. false +eFPDAXxq1lkl560Sgm_l0ucV4TI The severe periodontitis @CHEMICAL$ had a significant higher HbA1c level (8.53 ± 1.61%) as compared with the mild and moderate @DISEASE$ groups (7.68±1.58%) false +MMCeDHboGOxR0-uTLoeMJrBNooc The severe @DISEASE$ group had a significant higher @CHEMICAL$ level (8.53 ± 1.61%) as compared with the mild and moderate periodontitis groups (7.68±1.58%) false +JWHdrx6CiYpyXHVirN_sdoBO-pQ The severe periodontitis group had a significant higher @CHEMICAL$ level (8.53 ± 1.61%) as compared with the mild and moderate @DISEASE$ groups (7.68±1.58%) false +BNI8XOcA5OBfnGiCVr-oqK62NC0 The severe @DISEASE$ @CHEMICAL$ had a significant higher HbA1c level (8.53 ± 1.61%) as compared with the mild and moderate periodontitis groups (7.68±1.58%) false +zoLmpM646c3EEq771TuoWrXEDCs @DISEASE$ YP medium with 1% (w/v) Yeast extract and 2% (w/v) Tryptone, as well as 10-fold diluted YP medium, could also be effectively used as @CHEMICAL$ sources. false +4wwGvUXmsLRSqNNO86H5gYQXbek @CHEMICAL$ immunization suppressed hallmark features of @DISEASE$, including antigen-specific type 2 helper T cell cytokine and antibody responses, peripheral and pulmonary eosinophil accumulation, and goblet cell hyperplasia. treats +uYx88VpQ24rfDhbfEWhffuV28hM Δpep27 immunization suppressed hallmark features of AAD, including @CHEMICAL$ type 2 helper T cell cytokine and antibody responses, peripheral and pulmonary eosinophil accumulation, and goblet cell @DISEASE$. false +sIlQ5lQdRrFc9I2Dyv03sF5fz_Q We analyzed MR imaging from a prospective data @CHEMICAL$ of 3 age-matched groups: 21 cognitively healthy controls, 20 patients with mild cognitive impairment, and 19 patients with early @DISEASE$. false +1YLUvBopPJ1LuXWz8TWhOQBmiR8 In conclusion, our results showed that @CHEMICAL$ exerts antidepressant-like effects in mice with CSDS-induced @DISEASE$, that the effects may be mediated by the normalization of monoamine neurotransmitter levels, the prevention of HPA axis dysfunction and the impairment of hippocampal neurogenesis, and that this occurs partly through the ability of DS to enhance BDNF expression by increasing the TrkB/CREB/ERK pathway and the PI3K/AKT/mTOR pathway. treats +XZEn12wJFq3YqTskxPKgEorD2x4 The resistance to herbicides may contain a @CHEMICAL$ and @DISEASE$ origin. false +DOVCrhFHY_25TEuukNyFOgFZIvE The resistance to @CHEMICAL$ may contain a non-mutagenic and @DISEASE$ origin. false +1Mhagsqd-NZKXP2nCZyH_lhapN8 The levels of serum inflammatory factors interleukin-4 (IL-4), interleukin-6 (IL-6), @DISEASE$ necrosis factor-α (TNF-α), C-reactive @CHEMICAL$ (CRP) and osteocalcin (OC) were measured and compared by ELISA before treatment and 1 month after treatment in both 2 groups. false +ZLT_v4zktPHEqs3VD2TkoM22L7U Women with gestational diabetes mellitus (GDM) may be at an increased risk of liver complications because chronic @DISEASE$ is a risk factor for liver @CHEMICAL$ accumulation and potential liver dysfunction. false +36AvbHidW71CwlYRtbWFQTaNAqw Women with @DISEASE$ (GDM) may be at an increased risk of liver complications because chronic hyperglycemia is a risk factor for liver @CHEMICAL$ accumulation and potential liver dysfunction. false +KAOGd5FxlegLgz1pjXR4pR9f9Zg Women with gestational diabetes mellitus (@DISEASE$ may be at an increased risk of liver complications because chronic hyperglycemia is a risk factor for liver @CHEMICAL$ accumulation and potential liver dysfunction. false +DfS5fPW3Ae-XwYaX3kAfNiSdL2g Production and Characterization of Glutathione-Chitosan Conjugate Films as Systems for @DISEASE$ Release of @CHEMICAL$. false +7tXa7Yi4DIrFUMdiUaeagAnte0E Production and Characterization of @CHEMICAL$ Conjugate Films as Systems for @DISEASE$ Release of Methotrexate. false +FD5dankugbw2BEU1DnQnRbwoiAw Assessment of plasma creatine kinase as biomarker for @CHEMICAL$ dyskinesia in @DISEASE$. treats +_Pa1LxylUNQ8HJU4Be3Jvypqvw0 With the spotlight on @DISEASE$ immunotherapy and the expanding use of @CHEMICAL$, strategies to improve the response rate and duration of current cancer immunotherapeutics are highly sought. treats +Dm4mhQjYzENFJA-YvQcf5Qfj_4g The use of @CHEMICAL$ has not been reported in treatment-naïve Japanese patients with @DISEASE$. treats +oP_OTxiJfnLXe3CjiIRtN6WTEzA We congratulate Dr Aberg and colleagues for a significant contribution to the literature on the important topic of moderate @CHEMICAL$ use in @DISEASE$ (NAFLD) (1). false +OFrO_o6koxoA4YxPzUq1s4EdPcE @CHEMICAL$ may have had an adverse effect on retinal @DISEASE$ healing after vitrectomy with endolaser retinopexy, leading to persistence of pale laser lesions many weeks after laser application. false +1JLt6SAt-GATXjT_PfGX8cHTkZM Pazopanib may have had an adverse effect on @CHEMICAL$ wound healing after vitrectomy with endolaser retinopexy, leading to persistence of @DISEASE$ laser lesions many weeks after laser application. false +rMVsS53Q9mx4IHmCUa8xNZLvgUQ @CHEMICAL$ may have had an adverse effect on retinal wound healing after vitrectomy with endolaser retinopexy, leading to persistence of @DISEASE$ laser lesions many weeks after laser application. false +jx5BIj_iQ7iXEBiCA8_ljNmffQ4 Pazopanib may have had an adverse effect on @CHEMICAL$ @DISEASE$ healing after vitrectomy with endolaser retinopexy, leading to persistence of pale laser lesions many weeks after laser application. false +aznhUKAylI5JwzsprgJtyJF9jrQ Dietary @CHEMICAL$ Patterns and @DISEASE$ Risk: false +hWfWXZJVD5VD6JC1Rj0md4Ye4vs Silicone Oil and @CHEMICAL$ Brachytherapy for @DISEASE$ in High-Risk Patients. treats +JQrPSsHqdy_q09bE-qEiUKPz3R0 @CHEMICAL$ and Iodine-125 Brachytherapy for @DISEASE$ in High-Risk Patients. treats +mD0WgtqINRb__09en6uWXr33IsA A human trial with healthy @DISEASE$ (n = 20) consuming 5 isocaloric and isoproteinemic yogurt snacks before monitoring lunch intake revealed that the yogurt formulation with increased whey @CHEMICAL$ content significantly reduced subsequent energy intake compared with its control. false +mLgfq_LBOuVEpuIOJTYLS98W5qU The Quick Environmental Exposure and @DISEASE$ Inventory (QEESI) developed by Miller and Prihoda in the USA is used as a questionnaire for patients with multiple @CHEMICAL$ sensitivity (MCS) in >10 countries. false +KS8LSZ09qj-a_7GENm_o5XomvCM The Quick Environmental Exposure and Sensitivity Inventory (QEESI) developed by Miller and Prihoda in the USA is used as a questionnaire for patients with multiple @CHEMICAL$ sensitivity @DISEASE$ in >10 countries. false +52wbZ9E-lqtKZcMh3Jq4yYc0rh8 Grouper mc4r consisted of a 981 bp @DISEASE$ encoding a putative @CHEMICAL$ of 327 amino acids, while the grouper mrap2 consisted of a 696 bp ORF encoding a putative protein of 232 amino acids. false +EIodlUzQRTvotJYek8RixZ36Xmk Grouper mc4r consisted of a 981 bp @DISEASE$ encoding a putative protein of 327 amino acids, while the grouper mrap2 consisted of a 696 bp ORF encoding a putative @CHEMICAL$ of 232 amino acids. false +Vw7MrmZvJDk5bnFhYv_keGg140s Grouper mc4r consisted of a 981 bp ORF encoding a putative protein of 327 amino acids, while the grouper mrap2 consisted of a 696 bp @DISEASE$ encoding a putative protein of 232 @CHEMICAL$. false +GTBID46W5Ofi_VhFn-1GxmtMX7I Grouper mc4r consisted of a 981 bp @DISEASE$ encoding a putative protein of 327 @CHEMICAL$, while the grouper mrap2 consisted of a 696 bp ORF encoding a putative protein of 232 amino acids. false +tQdxlUdiGpEwVdlyE49oaB_ZXbo Grouper mc4r consisted of a 981 bp ORF encoding a putative @CHEMICAL$ of 327 amino acids, while the grouper mrap2 consisted of a 696 bp @DISEASE$ encoding a putative protein of 232 amino acids. false +LFazZp12RPLWaASn9iS1c0XEkk8 Grouper mc4r consisted of a 981 bp ORF encoding a putative protein of 327 @CHEMICAL$, while the grouper mrap2 consisted of a 696 bp @DISEASE$ encoding a putative protein of 232 amino acids. false +xjsOzlFZwNd_WpYdnto5PX94ryM Grouper mc4r consisted of a 981 bp ORF encoding a putative protein of 327 amino acids, while the grouper mrap2 consisted of a 696 bp @DISEASE$ encoding a putative @CHEMICAL$ of 232 amino acids. false +T1BdYJD1WkEHb1MJP596W6ibmEU Grouper mc4r consisted of a 981 bp @DISEASE$ encoding a putative protein of 327 amino acids, while the grouper mrap2 consisted of a 696 bp ORF encoding a putative protein of 232 @CHEMICAL$. false +QUuj7-DajTmgNdOeWRvKrBZRRFI Thus, future studies are warranted to better understand the complex pharmacology and interaction between @CHEMICAL$ carriers and biological systems, such as the mononuclear phagocyte system (MPS) and @DISEASE$ microenvironment. treats +SZ9CsiQL1NGA_Zrr8K1PEO7qu0c Acetaminophen was the most common @CHEMICAL$ used during a @DISEASE$ attack, followed by nonsteroidal anti-inflammatory drugs. treats +Dj1KYdfpZyG9AEX-Tt7LgOwQd-k Acetaminophen was the most common medication used during a @DISEASE$ attack, followed by @CHEMICAL$. treats +pXSCrPSvRopDWtX4nnrKZpzGWg0 @CHEMICAL$ was the most common medication used during a @DISEASE$ attack, followed by nonsteroidal anti-inflammatory drugs. treats +P4Kb7CGrOqvv4s7OtTZ88040Kag We next screened the expression of ARE-binding @CHEMICAL$ (ARE-BPs) and found that TLR stimulation of CXCL4-moDCs induced tristetraprolin (@DISEASE$ or ZFP36). false +N5zA5DIqVTbgXx1K6fwztEot1_s Role of miR-731 and miR-2188-3p in mediating @CHEMICAL$ induced head kidney @DISEASE$ in common carp via targeting TLR and apoptosis pathways. false +iprPvkXVPs5EdujtHDzRRuNj3yo Role of miR-731 and miR-2188-3p in mediating @CHEMICAL$ induced head kidney injury in @DISEASE$ carp via targeting TLR and apoptosis pathways. false +uwJNPsJwvhoiP5vxxXoYYlvL2pQ SAg genes sea, seb, @CHEMICAL$, sed, see, seg, seh, @DISEASE$, sej, and tst were also assessed by individual PCR assays. false +JqHdlQSJWsmuzpjblu0fbDC_NH0 SAg genes sea, seb, sec, @CHEMICAL$, see, seg, seh, @DISEASE$, sej, and tst were also assessed by individual PCR assays. false +IOtP15w8gqHI9Rt4tb98DqnlLQA The Role of @CHEMICAL$ in @DISEASE$. false +eElmlAVOHc2ZwJ3saWWLv_xVQGY The Role of Long-Chain @CHEMICAL$ Acids in @DISEASE$. false +UlRq7WEh56hKq9zD-oiGoQQpVrs region is predicted to insert into the lipid bilayer to form a transmembrane β-barrel, in which the hydrophobic @CHEMICAL$ @DISEASE$ the lipid bilayer, and the polar residues constitute the hydrophilic lumen of the pore. false +xqmsgPQUUgFUCTS-mCxE29BR3_I region is predicted to insert into the @CHEMICAL$ bilayer to form a transmembrane β-barrel, in which the hydrophobic residues @DISEASE$ the lipid bilayer, and the polar residues constitute the hydrophilic lumen of the pore. false +Ua4VXD9mcyPc_xzSKcNYSz1sVuI region is predicted to insert into the lipid bilayer to form a transmembrane β-barrel, in which the hydrophobic residues @DISEASE$ the lipid bilayer, and the polar @CHEMICAL$ constitute the hydrophilic lumen of the pore. false +3h1LEPlxW0kor-ZjNK1UgBLOPvk region is predicted to insert into the lipid bilayer to form a transmembrane β-barrel, in which the hydrophobic residues @DISEASE$ the @CHEMICAL$ bilayer, and the polar residues constitute the hydrophilic lumen of the pore. false +HB7lXiQ2dGz80dKG2LFYyujTuCA We have discovered that @CHEMICAL$ docked onto the regulatory subunit of the precursor cell-expressed developmentally downregulated 8 (NEDD8)-activating enzyme (NAE) complex and next to the NEDD8 binding complex, which leads to inhibit NEDD8 conjugations to both Cullin1 and Ubc12 in @DISEASE$ cell lines and Ubc12 NEDDylation in an in vitro assay. treats +tVyF9lGaz3wJt1vKE12O8s_DyAg We have discovered that Gartanin docked onto the regulatory subunit of the precursor cell-expressed developmentally downregulated 8 (NEDD8)-activating @CHEMICAL$ (@DISEASE$) complex and next to the NEDD8 binding complex, which leads to inhibit NEDD8 conjugations to both Cullin1 and Ubc12 in prostate cancer cell lines and Ubc12 NEDDylation in an in vitro assay. false +QnXMTX34KVRZkKP6g0by464Owzo A previous version of the review had shown a lower risk of @DISEASE$ SAEs in adults taking combined formoterol and @CHEMICAL$; however, inclusion of new studies no longer shows a difference between treatments (moderate-certainty evidence).The reported number of children and adolescents with SAEs was small, so uncertainty remains in this age group.We included results from large studies mandated by the FDA. false +uU76YjUZKA4Rh1FoEC8O1mE3Wtk A previous version of the review had shown a lower risk of @DISEASE$ SAEs in adults taking combined formoterol and ICS; however, inclusion of new studies no longer shows a difference between treatments (moderate-certainty evidence).The reported number of children and adolescents with SAEs was small, so uncertainty remains in this age @CHEMICAL$We included results from large studies mandated by the FDA. false +gvVcMc-9LppZVRnx4PWFlyKvSDw A previous version of the review had shown a lower risk of @DISEASE$ SAEs in adults taking combined @CHEMICAL$ and ICS; however, inclusion of new studies no longer shows a difference between treatments (moderate-certainty evidence).The reported number of children and adolescents with SAEs was small, so uncertainty remains in this age group.We included results from large studies mandated by the FDA. false +XjDq9TnJuLxRvjhWkgoECjFr5KI @CHEMICAL$ exert a broad range of health benefits, but their effect in improving @DISEASE$ in vivo has been poorly characterized. treats +pxWV168e2eu0hpC6Hx_Sh_PlQRU Four uncomplicated @DISEASE$ cases and 1 @CHEMICAL$ vein occlusion were reported with filgotinib; there were no opportunistic infections, active tuberculosis, malignancies, gastrointestinal perforations, or deaths. false +x0xKXQvvereBUhXt4gKTtB9X3w4 Four uncomplicated herpes zoster cases and 1 @CHEMICAL$ vein occlusion were reported with filgotinib; there were no opportunistic infections, @DISEASE$, malignancies, gastrointestinal perforations, or deaths. false +1mpIItqbQPxiutrRVd0QXfwTCHA If fever is due to intercurrent @DISEASE$, therapeutic @CHEMICAL$ monitoring is recommended to adjust clozapine daily dosage. false +ftkickygJCpNmQ5FT4eP6Jx8OKQ If fever is due to intercurrent @DISEASE$, therapeutic drug monitoring is recommended to adjust @CHEMICAL$ daily dosage. false +QXTa2C7vESnplTJZbbDfZGM81Ow Background In murine heart failure models and in humans with @DISEASE$, inhibition of phosphodiesterase 5 (PDE5) by @CHEMICAL$ improves cardiac outcomes. treats +O1tdMramExqEWZDyrwIEifGlCEM Background In murine @DISEASE$ models and in humans with diabetic-related heart hypertrophy, inhibition of phosphodiesterase 5 (PDE5) by @CHEMICAL$ improves cardiac outcomes. treats +p1GpKlxawWjy4Iu7L7PIC428cY8 Senescent fibroblasts that accumulate in tissues secondary to aging and @CHEMICAL$ stress have been shown to promote @DISEASE$ formation via a senescence-associated secretory phenotype (SASP). false +Gxa9OOzPgTALezCsyRA3tvlD8lU Senescent fibroblasts that accumulate in tissues secondary to aging and oxidative stress have been shown to promote @DISEASE$ formation via a senescence-associated secretory phenotype (@CHEMICAL$. false +FOCAjSe0JQgz-q_M7dkmXTLYEJ0 On the other hand, an induced plasticity evoked by chronic @DISEASE$ resulted in progressive transcriptional changes in multiple neuron subtypes and became most pronounced upon prolonged @CHEMICAL$ withdrawal. false +Yx0CaFTA0zepa3jCK7EJjRwIjWg On the other hand, an induced plasticity evoked by chronic @CHEMICAL$ addiction resulted in progressive transcriptional changes in multiple neuron subtypes and became most pronounced upon prolonged @DISEASE$. false +F2J3m00oSkFHISd9etF0-ka3qfM Pericardial fat (PF) has not been considered a prognostic @CHEMICAL$ for overall survival (OS) in @DISEASE$. false +YWkfkFDH86BXwfdFJZjskIrcEvQ Pericardial @CHEMICAL$ (PF) has not been considered a prognostic biomarker for overall survival (OS) in @DISEASE$. false +LJQEIy_Kn5R2KjP7i4rJRyCQhpU We conclude that manganese @CHEMICAL$ is the origin of the increase of the OER overpotential at pH lower than 14 and also of the pH @DISEASE$ on the RHE scale. false +iC62owXGlP_meCU1LNo924ZlmuQ We conclude that @CHEMICAL$ oxidation is the origin of the increase of the OER overpotential at pH lower than 14 and also of the pH @DISEASE$ on the RHE scale. false +IkLD2kmnqI2yuIAo0cYG1TIvJMo Lycopene, sulforaphane, quercetin, and @CHEMICAL$ applied together show improved antiproliferative potential in @DISEASE$ cells in vitro. treats +Usrrl1lvXBvMZGjRREcLKBZqQQY Lycopene, @CHEMICAL$, quercetin, and curcumin applied together show improved antiproliferative potential in @DISEASE$ cells in vitro. treats +TjGvJG0SfG-pSO2DZFFrJUpMcKY Lycopene, sulforaphane, @CHEMICAL$, and curcumin applied together show improved antiproliferative potential in @DISEASE$ cells in vitro. treats +W4irdzjA-gjIuCmJ-LJkw8cYyZk @CHEMICAL$, sulforaphane, quercetin, and curcumin applied together show improved antiproliferative potential in @DISEASE$ cells in vitro. treats +vJywQkROAbc1WFGsmQ6B2LIpm5k Through direct or indirect action on @CHEMICAL$ related to the pyroptosis signaling pathway, lncRNAs are involved in the pathological processes related to cardiovascular diseases, kidney diseases, immune diseases and other @DISEASE$. false +mP2-mZQsgPGQuH1lBKOhTxAv4tE Through direct or indirect action on @CHEMICAL$ related to the pyroptosis signaling pathway, lncRNAs are involved in the pathological processes related to cardiovascular diseases, kidney @DISEASE$, immune diseases and other diseases. false +F9p6_ekfoAbDRoTX0mcEKIIh7wc Through direct or indirect action on @CHEMICAL$ related to the pyroptosis signaling pathway, lncRNAs are involved in the pathological processes related to cardiovascular diseases, kidney diseases, immune @DISEASE$ and other diseases. false +sRNgiZrGn6LX2mXLttBpobYZf1g Through direct or indirect action on @CHEMICAL$ related to the pyroptosis signaling pathway, lncRNAs are involved in the pathological processes related to cardiovascular @DISEASE$, kidney diseases, immune diseases and other diseases. false +xBnmrtYkNGs6-FAGcoX94qWxXwU The Barrett-IOL Master demonstrated that 61% and 76% of eyes were within 0.50 and 0.75 D of the predicted @CHEMICAL$ @DISEASE$, respectively. false +Tocdge9LzrL8aKXFMIri4v3rzBI @CHEMICAL$ Protects Porcine Ovarian Granulosa Cells against @DISEASE$ by Upregulating let-7a Expression. treats +WPnMWyYo6z6BFiQx0UkZOBtQVqY Our results add to a growing body of literature hinting at metabolic changes-in particular of triglycerides-independently of @CHEMICAL$ status in @DISEASE$. treats +E5nKwbgxcM_w4a-7JQEr0IhmkMU Our results @DISEASE$ to a growing body of literature hinting at metabolic changes-in particular of @CHEMICAL$ of medication status in schizophrenia. false +p47Ci4DN8SHFGUDJcetTT214HoM To illustrate how the index may be used, we estimated CUI for fasting @CHEMICAL$, both as a continuous and as a dichotomous test, at several values of pretest probability of @DISEASE$ and at two levels of cost/benefit-ratio. false +dqdYXcg01MPeYwOOlbli1guyDMc In IR @CHEMICAL$, numerous charcoal labeled @DISEASE$ were observed mainly localized around the central vein. false +H2q1e-WD_LxQOv-jRcVr00HrHAs In IR @CHEMICAL$, numerous charcoal labeled KCs were observed mainly @DISEASE$ around the central vein. false +rWreLEFUhzHZc6jHCSVr9DSnp5U After overexpression of mitomiR-181a-5p, mt-CYB and mt-CO2 levels were reduced in @DISEASE$ cells, and the mitochondrial membrane potential (MMP) maintained by the @CHEMICAL$ transport chain (ETC) was decreased. false +cXE7zstWMjpEOSkWFgwQHTVWsNs Subsequent siRNA-mediated knockdown of BMMSC-CD9 in @DISEASE$:BMMSCs resulted in an attenuation of doxorubicin and @CHEMICAL$ chemoresistance associated with decreased BCRP and serum cytokine expression (CCL5, CCR5, CXCR12). false +vbWGaeoYdvM9OwqVkTiLyPHlDO0 Subsequent siRNA-mediated knockdown of BMMSC-CD9 in @DISEASE$:BMMSCs resulted in an attenuation of @CHEMICAL$ and 5-fluorouracil chemoresistance associated with decreased BCRP and serum cytokine expression (CCL5, CCR5, CXCR12). false +Yn9njyM_2MwBYLf3Bn9YyY2iiKE gene on expression of p53 protein in @CHEMICAL$ @DISEASE$ cells. false +1emnKpO5G30Y2q50AGrfgJQz96Q gene on expression of p53 @CHEMICAL$ in canine @DISEASE$ cells. false +9ofA_WFNGkDIz0WZEFewmXtmxFg Theoretical determination of the effects of various linkages between @CHEMICAL$ on energetic properties and @DISEASE$. false +CLBxI9xXiS5tq4Pg4MAkhZPfZ3o RNA-sequencing (@CHEMICAL$) was done with matched primary tumors and fallopian tubes (n = 8 pairs) as well as matched metastatic and primary tumors (n = 11 pairs) from @DISEASE$ patients. false +w1XtSZJknfv17_tGtBwCeHGdVFA @CHEMICAL$ (RNA-seq) was done with matched primary tumors and fallopian tubes (n = 8 pairs) as well as matched metastatic and primary tumors (n = 11 pairs) from @DISEASE$ patients. false +vW_bN-PkhqntlyaSc0UKmRojwyw Among patients with newly diagnosed type 2 diabetes, the risk of dementia was lower in the oral @DISEASE$ medication group than in the no-medication @CHEMICAL$ (adjusted hazard ratio [aHR], 0.79; 95% CI 0.77-0.81). false +CjyXwnw2dDiz_xJv2qei5o0nP7M Among patients with newly diagnosed @DISEASE$, the risk of dementia was lower in the oral diabetes medication group than in the no-medication @CHEMICAL$ (adjusted hazard ratio [aHR], 0.79; 95% CI 0.77-0.81). false +OP9WL7DFxMntTrFLvbSbXFBPOVQ Among patients with newly diagnosed type 2 diabetes, the risk of @DISEASE$ was lower in the oral diabetes medication @CHEMICAL$ than in the no-medication group (adjusted hazard ratio [aHR], 0.79; 95% CI 0.77-0.81). false +cJaEpLOOoLh9J3FpH_5VWbKX3Hw Among patients with newly diagnosed type 2 diabetes, the risk of @DISEASE$ was lower in the oral diabetes medication group than in the no-medication @CHEMICAL$ (adjusted hazard ratio [aHR], 0.79; 95% CI 0.77-0.81). false +RbJ5GxO-_zBLhPnHXl8weujQJWY Among patients with newly diagnosed type 2 diabetes, the risk of dementia was lower in the oral @DISEASE$ medication @CHEMICAL$ than in the no-medication group (adjusted hazard ratio [aHR], 0.79; 95% CI 0.77-0.81). false +bP3WNmB9hYyHMeyNMqA2VUSHcGw Among patients with newly diagnosed @DISEASE$, the risk of dementia was lower in the oral diabetes medication @CHEMICAL$ than in the no-medication group (adjusted hazard ratio [aHR], 0.79; 95% CI 0.77-0.81). false +cIUzi87gfGVeCMVx23lJyUsxhKo Non-alcoholic @CHEMICAL$ liver disease (NAFLD) is the most common chronic @DISEASE$ in Western industrialised countries. false +JXDWUFGRBDpzI1w7RP2uWeXPfVg Non-alcoholic @CHEMICAL$ liver disease (NAFLD) is the most @DISEASE$ chronic liver disease in Western industrialised countries. false +gRw18GQcQG19FjTm-4O_2BINgvA @CHEMICAL$ in the @DISEASE$ layer may contribute to the performance improvement of the PSC. false +aeUTwoAbeaav6xKZDzet_eObd7Q @CHEMICAL$ in the TiO₂ layer may contribute to the performance improvement of the @DISEASE$ false +XEHn-8FbbQtsfiASuDIna8Z4WDc This work serves as a framework for the discovery of a chemical @CHEMICAL$ to delineate the function of USP5 ZnF-UBD in proteasomal degradation and other ubiquitin signaling pathways in health and @DISEASE$. false +QelJuBPv_rJgHUPOAYDo1rYW7mQ This work serves as a framework for the discovery of a @CHEMICAL$ probe to delineate the function of USP5 ZnF-UBD in proteasomal degradation and other ubiquitin signaling pathways in health and @DISEASE$. false +gSOF6DRkTmfy8zzXTa3_1DRMOe8 The experimental results show that the figure-of-eight directional response of the @CHEMICAL$ FCF with a directional @DISEASE$ of 0.56 mV/deg is achieved. false +7w0n2F-ntArhX6_51t3NSUHJ36Y @CHEMICAL$ may cause kidney @DISEASE$ in a number of different mechanisms and it is vital that this fact will be emphasized due to the widespread use of this medication. false +lY3dw9FGchFJRIx3ldJub5sIHmY Reduced miR-181d level in @DISEASE$ and its role in @CHEMICAL$ metabolism via regulation of ANGPTL3. false +ToWvEzHBtAuEqWU5MYxGWc6tiUk Branch @DISEASE$: Treatment Outcomes According to the @CHEMICAL$ Nonperfusion Area, Clinical Subtype, and Crossing Pattern. false +W73btc7oG12gpD5iNCHMA3fN4EU Outcomes and @CHEMICAL$ Use After Catheter Ablation for @DISEASE$. false +N2tRtosl_nhxvJa3C9nD29FX-uA Through a collaborative practice agreement, pharmacists conducted PrEP visits with potential candidates for PrEP, according to the recommended @DISEASE$ guidelines, and authorized @CHEMICAL$ prescriptions. false +5Mei8erf-nPbPp5z0cpMijaSWT4 Through a collaborative practice agreement, pharmacists conducted PrEP visits with potential candidates for PrEP, according to the recommended @DISEASE$ guidelines, and authorized @CHEMICAL$ disoproxil fumarate prescriptions. false +1VAFmzhEpjbSaa-E8g34neiGYyg Lipid droplets are lipid-storage organelles with a key role in @CHEMICAL$ accumulation pathologies such as @DISEASE$, obesity and atherosclerosis. false +RqVjxd-nLp_SFmsal0T-S_TiwkU Lipid droplets are lipid-storage organelles with a key role in @CHEMICAL$ accumulation pathologies such as diabetes, @DISEASE$ and atherosclerosis. false +-INS9SbG7QXXTjkwFQV-FlCPPkk Lipid droplets are lipid-storage organelles with a key role in @CHEMICAL$ accumulation pathologies such as diabetes, obesity and @DISEASE$. false +KXdcwLGDqwvn63aw7UzdYAUdiuI @CHEMICAL$ droplets are lipid-storage organelles with a key role in lipid accumulation pathologies such as diabetes, obesity and @DISEASE$. false +ZC5WEe8UyPOBGdlCU3g2YFiQ2i0 @CHEMICAL$ droplets are lipid-storage organelles with a key role in lipid accumulation pathologies such as @DISEASE$, obesity and atherosclerosis. false +gFGCSm8Evm3WZrhZep21SCHvDTM Lipid droplets are @CHEMICAL$ organelles with a key role in lipid accumulation pathologies such as @DISEASE$, obesity and atherosclerosis. false +f6thgug8XCgnqDe3DpZc2sUtlIA Lipid droplets are @CHEMICAL$ organelles with a key role in lipid accumulation pathologies such as diabetes, @DISEASE$ and atherosclerosis. false +2mv725KopLwwDEYU_iD5yvZ9xPk Lipid droplets are @CHEMICAL$ organelles with a key role in lipid accumulation pathologies such as diabetes, obesity and @DISEASE$. false +-K5KcuCps7K41yLOhfzl99SEP3E @CHEMICAL$ droplets are lipid-storage organelles with a key role in lipid accumulation pathologies such as diabetes, @DISEASE$ and atherosclerosis. false +qcOLHZHA83kXFIpSQ2_qdiQ0z84 Majority of breast cancers diagnosed today are @CHEMICAL$ receptor (ER)-positive, however, progesterone receptor-positive (PR-positive) is also responsible for @DISEASE$. false +ug65hf7kr_Km7jAtLqQZwvDIpoY Majority of breast cancers diagnosed today are estrogen receptor (ER)-positive, however, @CHEMICAL$ receptor-positive (PR-positive) is also responsible for @DISEASE$. false +ZhURMTlll403aNukUqcalOH2EVE @CHEMICAL$ regulates @DISEASE$ behavior in mice exposed to chronic mild stress via the Rac/LIMK/cofilin pathway. treats +QZ0eMPqMR5kIcAXBo3eeTii0v0E Dosimetric parameters predictive of nasolacrimal duct obstruction after @CHEMICAL$ radiotherapy for @DISEASE$. treats +VKEI3tevHG0YgbikGDHptKssTE8 A total of 81 patients with early pancreatic cancer were enrolled as a pancreatic cancer @CHEMICAL$, and 81 patients with benign pancreatic @DISEASE$ were enrolled as a benign disease group. false +CF7DmN7RcAFpk-VZEnbl3oWwHMw A total of 81 patients with early @DISEASE$ were enrolled as a pancreatic cancer @CHEMICAL$, and 81 patients with benign pancreatic diseases were enrolled as a benign disease group. false +WLQcGEw1yNyQ2kGkMTHpOjGidiE A total of 81 patients with early pancreatic cancer were enrolled as a @DISEASE$ @CHEMICAL$, and 81 patients with benign pancreatic diseases were enrolled as a benign disease group. false +Kfy7wRGPnpfxoYD5eEs9uBn2to8 A total of 81 patients with early pancreatic cancer were enrolled as a pancreatic cancer @CHEMICAL$, and 81 patients with benign pancreatic diseases were enrolled as a benign @DISEASE$ group. false +avAEAVi8I6gw4uN-CaFcLUnYzNs A total of 81 patients with early pancreatic cancer were enrolled as a pancreatic cancer group, and 81 patients with benign pancreatic @DISEASE$ were enrolled as a benign disease @CHEMICAL$. false +dCYSOqM918Jt9ubGyZl4XyOlHUQ A total of 81 patients with early pancreatic cancer were enrolled as a @DISEASE$ group, and 81 patients with benign pancreatic diseases were enrolled as a benign disease @CHEMICAL$. false +h6Nrf8CkMRJ32BtDDaIWfryz64Y A total of 81 patients with early @DISEASE$ were enrolled as a pancreatic cancer group, and 81 patients with benign pancreatic diseases were enrolled as a benign disease @CHEMICAL$. false +9vN8iLrywJgg4T5CfUK4S-FEQ6M A total of 81 patients with early pancreatic cancer were enrolled as a pancreatic cancer group, and 81 patients with benign pancreatic diseases were enrolled as a benign @DISEASE$ @CHEMICAL$. false +darRoWl1v6pZDgC9Ha7ExCnmLCc The @DISEASE$ Property of @CHEMICAL$ by Modulating the Composition of Gut Microbiota. false +rHmata0Ds6_1ubV_adbCbw-xEs8 Serum Apolipoprotein A-I Combined With C-Reactive @CHEMICAL$ Serves As A Novel Prognostic Stratification System For @DISEASE$. false +hFuUUCsXtC5Z9kE1U8WB0td4CSI Serum @CHEMICAL$ A-I Combined With C-Reactive Protein Serves As A Novel Prognostic Stratification System For @DISEASE$. false +E7ARGOt1znrIFcQnDqoIr5caf9E To explore the potential of SCLCs for the treatment of @DISEASE$ and investigate the underlying @CHEMICAL$ mechanisms. false +JG7DUtoUw_58ekYCJp4BgwFu3pA To explore the potential of SCLCs for the treatment of sciatic never @DISEASE$ and investigate the underlying @CHEMICAL$ mechanisms. false +Zdu2FKM6nOoSgG_MSCsgVJe214g PCSK9 inhibitors potently lower plasma @CHEMICAL$ levels in T2DM patients and reduce risk for the development of @DISEASE$. false +qzS7lgQmcNshFutSp6Rlv6a_84E PCSK9 @CHEMICAL$ potently lower plasma LDL-C levels in T2DM patients and reduce risk for the development of @DISEASE$. false +2r_QgTKJrR7ODuv5psUIerRGZXI For each case, residual @DISEASE$ following diagnostic sampling was placed into @CHEMICAL$. false +3-WZfpEKh-LkJd1t7kDrr3Lcj7s For each case, @CHEMICAL$ @DISEASE$ following diagnostic sampling was placed into heparin. false +OKrG6KajJ1gHD6qwzS4_-ZVRsiU Several large epidemiological and animal studies demonstrate a direct correlation between dietary heme iron intake and/or systemic @CHEMICAL$ levels and cancer risk in several cancers including @DISEASE$ (CRC). false +rao9JEqrRBYAiUfa04H5KxcpaoA Several large epidemiological and animal studies demonstrate a direct correlation between dietary heme iron intake and/or systemic @CHEMICAL$ levels and @DISEASE$ risk in several cancers including colorectal cancer (CRC). false +6HhmXLJF8DwEQvdobHOF-inP1UA Several large epidemiological and animal studies demonstrate a direct correlation between dietary @CHEMICAL$ iron intake and/or systemic iron levels and cancer risk in several cancers including @DISEASE$ (CRC). false +h7qjTHbc0ibC7buSzvwzU1-lfsE Several large epidemiological and animal studies demonstrate a direct correlation between dietary @CHEMICAL$ iron intake and/or systemic iron levels and @DISEASE$ risk in several cancers including colorectal cancer (CRC). false +Lj32CBZh4QI-2SpFP9lBpyMJi-8 Several large epidemiological and animal studies demonstrate a direct correlation between dietary heme @CHEMICAL$ intake and/or systemic iron levels and @DISEASE$ risk in several cancers including colorectal cancer (CRC). false +6LKB9LFhCjlKwe8lDMRxJSaHBpw Several large epidemiological and animal studies demonstrate a direct correlation between dietary heme iron intake and/or systemic @CHEMICAL$ levels and cancer risk in several cancers including colorectal cancer (@DISEASE$). false +_4_YFuqyNKvMHJvQv-pXYd9gq4E Several large epidemiological and animal studies demonstrate a direct correlation between dietary @CHEMICAL$ iron intake and/or systemic iron levels and cancer risk in several cancers including colorectal cancer (@DISEASE$). false +h74qK9adnRVWXTeBP-96CrdlE50 Several large epidemiological and animal studies demonstrate a direct correlation between dietary heme @CHEMICAL$ intake and/or systemic iron levels and cancer risk in several cancers including colorectal cancer (@DISEASE$). false +iHX3-BguiepVzkuj3zHpvl492pA Several large epidemiological and animal studies demonstrate a direct correlation between dietary heme @CHEMICAL$ intake and/or systemic iron levels and cancer risk in several cancers including @DISEASE$ (CRC). false +3y8_OFHhwABQ4vuLlUDqyz5f_JM @DISEASE$ (@CHEMICAL$) is fatal in 90% of patients if left untreated and must be diagnosed early to optimize patient outcomes. false +9qPC7I3-KPOQ-MfG-0dT4NFWzlg Biopsy specimens from patients with basal cell carcinoma (BCC) can present to surgery with no clinically @CHEMICAL$ @DISEASE$, complicating treatment decisions. false +ScbH7Bxu-BovVYTFf3zLNvgfqWs Biopsy specimens from patients with @DISEASE$ (BCC) can present to surgery with no clinically @CHEMICAL$ tumor, complicating treatment decisions. false +ucxHu5uw9iYiBfPBYGsx2ykVIV8 Biopsy specimens from patients with basal cell carcinoma @DISEASE$) can present to surgery with no clinically @CHEMICAL$ tumor, complicating treatment decisions. false +ZU4KZyyKZJpE7WDlEtJmBSjbx5Q The relationship between @CHEMICAL$ and risk of @DISEASE$: a dose-response analysis of observational studies. false +VHqDZZ5P4zUqnP7NcNik1Hwjrbg @CHEMICAL$ receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in @DISEASE$: Evidence from a bioinformatic analysis. false +mLUb5YiadBSD5_q9SWJ2gfTRFpI Estrogen receptor 1 and progesterone receptor are distinct @CHEMICAL$ and prognostic factors in @DISEASE$: Evidence from a bioinformatic analysis. false +hpQhemWeoOaPzNOfLsH-h6T1rO8 Estrogen receptor 1 and @CHEMICAL$ receptor are distinct biomarkers and prognostic factors in @DISEASE$: Evidence from a bioinformatic analysis. false +0ECRwUEc8knapLPjZQySLkTlruM @CHEMICAL$ and Safety of an Early Measles Vaccination Schedule at 6 and 12 Months of Age in Human @DISEASE$ Virus (HIV)-Unexposed and HIV-Exposed, Uninfected South African Children. false +7bQAZwmpsVpqI8bPSU1XiedM4sk @CHEMICAL$ and Safety of an Early @DISEASE$ Vaccination Schedule at 6 and 12 Months of Age in Human Immunodeficiency Virus (HIV)-Unexposed and HIV-Exposed, Uninfected South African Children. false +1dJQDNqDJdtVHd09c47fjVjcQzo For POSAS scale, both the OSAS and PSAS scores were significantly better in group A. One patient in group A had cephalic vein injury and 3 patients in @CHEMICAL$ B was involved with radial sensory nerve @DISEASE$. false +dFGGHL7fg4SgFxSX5Gtruwxh6wM For POSAS scale, both the OSAS and PSAS scores were significantly better in group A. One patient in @CHEMICAL$ A had cephalic vein injury and 3 patients in group B was involved with radial sensory nerve @DISEASE$. false +b-p-sb4yqeSkSj7C6kDrJf1eCyc For POSAS scale, both the OSAS and PSAS scores were significantly better in group A. One patient in group A had cephalic vein @DISEASE$ and 3 patients in @CHEMICAL$ B was involved with radial sensory nerve injury. false +fHbK6PTukkFw9mFkNPi_muWEuTM For POSAS scale, both the OSAS and PSAS scores were significantly better in @CHEMICAL$ A. One patient in group A had cephalic vein injury and 3 patients in group B was involved with radial sensory nerve @DISEASE$. false +k5PcN0LGnZi0PCRq0jAB5NdZ_QU For POSAS scale, both the OSAS and PSAS scores were significantly better in @CHEMICAL$ A. One patient in group A had cephalic vein @DISEASE$ and 3 patients in group B was involved with radial sensory nerve injury. false +2Bzx83ErJ0F_09fC3O-O2iIyDPo For POSAS scale, both the OSAS and PSAS scores were significantly better in group A. One patient in @CHEMICAL$ A had cephalic vein @DISEASE$ and 3 patients in group B was involved with radial sensory nerve injury. false +mxP-vJ_uO1r8GU1Msrlurhr9CVo The @CHEMICAL$ receptor (AR) plays key roles in the development of prostate tissue and the development and progression of @DISEASE$ (PC). false +9Pmfb5iaYCIm6E9QK-6cCbhxZ2A @CHEMICAL$ is an advanced drug candidate from the Eg5 inhibitor class undergoing clinical evaluation in patients with relapsed or refractory @DISEASE$. treats +I51w8AKJYzVXRS1yL4c9TV1uPYM In accordance with this hypothesis, the review considers the data we obtained on the mechanisms of @DISEASE$ induction and development caused by impairment of conditioned @CHEMICAL$ aversion memory consolidation or reconsolidation. false +CddWtvxH9i2-acjMukD1y0ezMok Our results also propose that topical ocular application of @CHEMICAL$ can be envisaged as a potentially useful strategy for the treatment of @DISEASE$ at the early onset of DR. treats +UD6T2PqwROxPZzli-oVXq1FEdyQ Our results also propose that topical ocular application of @CHEMICAL$ can be envisaged as a potentially useful strategy for the treatment of retinal tauopathy at the early onset of @DISEASE$ treats +jn4_iAkFe3dN-9k2uagy8lMJURM PPARβ/δ is also able to suppress the activities of several transcription factors, including nuclear factor κB, and activator @CHEMICAL$ 1, thus regulating anti-inflammatory cellular responses and playing a protective role in several @DISEASE$. false +jxD_-DqsLBneIdvHq-fPxrKTdEY Furthermore, the safest way to address the possible increase in @DISEASE$ associated with altitude exposure is via the consumption of antioxidant-rich foods rather than high-dose @CHEMICAL$ supplements. treats +_p6r0XxfJzPB8m81G8WjvTH4Uo0 The National @DISEASE$ Institute (NCI) National Clinical Trials Network performs phase II and III clinical trials, which increasingly rely on the submission of diagnostic formalin-fixed, paraffin-embedded tissue blocks for @CHEMICAL$ assessment. false +8XuD9fFVb-bTQfNWfKtBTAvUiDc Serum @CHEMICAL$ and anti-inflammatory cytokines and the pathogenesis of @DISEASE$. false +Za59s3WMScR7iSnl-O3uMGZK1K0 By multivariable analysis, 6-month calcium ≥ 9.7 and eucalcemic elevation of the parathyroid @CHEMICAL$ at 6 months were independently associated with recurrent @DISEASE$. false +Bx8BX7k1T8GGUrp23JQdARX6IzM By multivariable analysis, 6-month @CHEMICAL$ ≥ 9.7 and eucalcemic elevation of the parathyroid hormone at 6 months were independently associated with recurrent @DISEASE$. false +c65HE7ljzdIDleUo_t0USYftfrc By multivariable analysis, 6-month calcium ≥ 9.7 and eucalcemic elevation of the @CHEMICAL$ at 6 months were independently associated with recurrent @DISEASE$. false +LK2xi4V_2_i2Pg9GzL6s2PMb19A There is a lack of knowledge and misinformation regarding @DISEASE$, @CHEMICAL$ smears, HPV, and HPV association with cervical cancer. false +6jiiToGWcyS2eCtmkHN-6PqWOOo There is a lack of knowledge and misinformation regarding cervical cancer, @CHEMICAL$ smears, HPV, and HPV association with @DISEASE$. false +CAM9fCnnXaytSnCwU_QFDypq4sM This study aimed to identify the pathogenic bacteria responsible for the septicemic disease affecting white sea bream brooders and determining the sensitivity of the recovered isolates to different antibiotics followed by estimation of long-acting @CHEMICAL$ (OTC) efficacy in controlling this @DISEASE$, and finally, determining the proper dose regimen. treats +iyqhmmUZRH5USoZccGQy5mXqJqE This study aimed to identify the pathogenic bacteria responsible for the @DISEASE$ affecting white sea bream brooders and determining the sensitivity of the recovered isolates to different antibiotics followed by estimation of long-acting @CHEMICAL$ (OTC) efficacy in controlling this disease, and finally, determining the proper dose regimen. treats +BCHQBKuj_SEgaF4U9IHzDnpRvII Severe cutaneous adverse drug reaction @DISEASE$) is considered to be a multifactorial @CHEMICAL$ side effect. false +yWXo1weYeZ0-Hltp3fopimIjwas Severe cutaneous adverse @CHEMICAL$ reaction @DISEASE$) is considered to be a multifactorial drug side effect. false +NieHcOudll6ivYGFSSGicqmxsKM collagen-producing mesenchymal cells reveals @DISEASE$ activity of several @CHEMICAL$ pathways including TNFRSF12A, PDGFR and NOTCH signalling. false +E0EmjvSpZYXQhfAY3z7Yt05pyvI @CHEMICAL$ mesenchymal cells reveals @DISEASE$ activity of several pro-fibrogenic pathways including TNFRSF12A, PDGFR and NOTCH signalling. false +XgT_cSG5uwtFf4ha1YNoq9Jx7ao There are no specific treatments, and the only treatment that increases life expectancy in @DISEASE$ is @CHEMICAL$. treats +VMAfKklZv1-EhaneAIeCqi95sNc The present review article aims to: (i) describe the current approaches for mouse modeling of @DISEASE$, (ii) provide insight into the @CHEMICAL$ and genetics of thyroid cancers, and (iii) offer guidance on the use of mouse models for testing potential therapeutics in preclinical settings. false +04ZO0eEpGOfwyicC4uqsJq6PLFI The present review article aims to: (i) describe the current approaches for mouse modeling of @DISEASE$, (ii) provide insight into the biology and genetics of @CHEMICAL$ cancers, and (iii) offer guidance on the use of mouse models for testing potential therapeutics in preclinical settings. false +4We5Gdbi0t8Bjl4JmYeuiz9NAjk Intraclass correlation coefficient (@DISEASE$) was calculated for inter-rater reliability in IRT interpretation, then temperature variations at MCP and DIP joints and the distal-dorsal difference (@CHEMICAL$) were analysed. false +WnNnux-W_BbS7Ov1O08Xc3QP8cA Serum levels of alanine aminotransferase (@DISEASE$, aspartate aminotransferase (AST), and @CHEMICAL$ dehydrogenase (LDH) were also decreased by VNS. false +vB9daV0rsAKJPGYnw-y5bo5Ck2I Serum levels of @CHEMICAL$ aminotransferase (@DISEASE$, aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were also decreased by VNS. false +Yw41I0T7Syc2H-pEJa8QdUxp-5w Serum levels of alanine aminotransferase (@DISEASE$, @CHEMICAL$ aminotransferase (AST), and lactate dehydrogenase (LDH) were also decreased by VNS. false +BVCoVuqITvhSeIrhlssW5I1xWZQ Interfacial Reaction Mechanisms on @CHEMICAL$ Anodes for @DISEASE$ Batteries. false +E4a6t3K7e9PQtK0CwpceVuPx0lU @CHEMICAL$ (GA), a plant phenol found in fruits and vegetables, has been recently reported to attenuate @DISEASE$ (UC). treats +joVwvzweZPUoVMo5yuFrc0dfQdg RESULTS In the @DISEASE$ group, the operation and @CHEMICAL$ times were shorter (P=0.008 and P=0.020, respectively). false +S9LH-kkv4A2FQaGcxOTYWszRO4U RESULTS In the @DISEASE$ @CHEMICAL$, the operation and anesthesia times were shorter (P=0.008 and P=0.020, respectively). false +HUQ_MoMxIOvNT6RQvjbXWn_tMTA Effect of anti-inflammatory and analgesic @CHEMICAL$ for the prevention of @DISEASE$: A systematic review and meta-analysis. treats +cCP7tuO6CE0kj7HU9rNsbquTk6Q Effect of anti-inflammatory and @CHEMICAL$ for the prevention of @DISEASE$: A systematic review and meta-analysis. treats +fq1MwcjQYRZJ8cPhDDHc0Ct_eoc All HFD rats were @DISEASE$ with an HFD consisting of 30% @CHEMICAL$ from fish oil throughout the study for 12 weeks. false +cD4IuU-c9DEy-MjApAl4tplzKpc Periodontal Microbiological Status Influences the Occurrence of @CHEMICAL$ and Tacrolimus-Induced @DISEASE$. false +M4FnIFnl5ju1fB2vhHuBgIz_EOc mg/L in the @DISEASE$ @CHEMICAL$ p=0.05). false +dr19oYsPxMbjLmhb31vqlPQLn7c The calculated @DISEASE$ volume and tumor weight indicated that these three engineered bacteria could inhibit the growth of human hepatoma SMMC-7721 cells, and the antitumor effect of EcN (Tum 5-p53) expressing the Tum 5-p53 fusion @CHEMICAL$ was significantly better than those of EcN (Tum-5) and EcN (p53) alone. false +TCCsKnhzP5B4SQKxegCvPJ9X1Fc The calculated tumor volume and tumor weight indicated that these three engineered bacteria could inhibit the growth of human @DISEASE$ SMMC-7721 cells, and the antitumor effect of EcN (Tum 5-p53) expressing the Tum 5-p53 fusion @CHEMICAL$ was significantly better than those of EcN (Tum-5) and EcN (p53) alone. false +Mj2g-Km3Mx5gian3po2bI1TST5c The calculated tumor volume and @DISEASE$ weight indicated that these three engineered bacteria could inhibit the growth of human hepatoma SMMC-7721 cells, and the antitumor effect of EcN (Tum 5-p53) expressing the Tum 5-p53 fusion @CHEMICAL$ was significantly better than those of EcN (Tum-5) and EcN (p53) alone. false +-GMBZdBoZyKR7UfbdjqkgdLZbHc One of the main features of @DISEASE$ is its good prognosis due to the great response to @CHEMICAL$ therapy. treats +_-nBhSON98PZfDWABo6WVMNfK8Q This review examines the effect of ROS on osteoclast differentiation and the efficacy of novel @CHEMICAL$ with therapeutic potential for @DISEASE$. treats +tRWWz2PUrwzG-JIK2GatALzvclw @CHEMICAL$ might have some potential advantage for renal protection over furosemide in patients with @DISEASE$. treats +Ar6W1q1jrXKPpq4OtrcUiOfYpYQ Azosemide might have some potential advantage for renal protection over @CHEMICAL$ in patients with @DISEASE$. treats +qYmUAECnxz8aEVJ2Rpkk1Gn_Cmw Conjugated @CHEMICAL$ (SWNT) have been shown to be promising in @DISEASE$ accumulation and is biocompatible, easily excreted, and possesses little toxicity. false +hKWrRPx94v6mVVE-n3PMR1BJGpA Experimental designs were developed in order to select the optimum extraction conditions (@CHEMICAL$, temperature, time) using turbo-extraction by Ultra-Turrax for obtaining extracts @DISEASE$ in bioactive compounds. false +h92ty8GBeL8MY2slXEuXtaptXHw The median PAI-1 level (ng/mL) was the highest in the parapneumonic @DISEASE$ @CHEMICAL$ both in the effusion and the serum, with values of 291 (213-499) ng/mL and 204 (151-412) ng/mL, respectively, resulting in a statistically significant difference (p < 0.001) from the cardiac hydrothorax and MPE groups. false +pz6fTafLaYuKzpiWraNfrB6jeUo @CHEMICAL$ antibody is a specific antibody in systemic lupus erythematosus (@DISEASE$. false +Zzp4Dm9CUMVEwAfY5y16DOaXJwQ @CHEMICAL$ antibody is a specific antibody in @DISEASE$ (SLE). false +mbvg9aYigr3_xGsW0rxHQYk07Z8 Lame cows had increased levels of ROS, MDA, and @CHEMICAL$, while no differences were observed between lame and non-lame cows in @DISEASE$, GPx, CAT, and TAR activity. false +Wk848kkwbKM6GLMDf87skRy7EpI @CHEMICAL$ remnant ablation in @DISEASE$: a meta-analysis. treats +_pEGwpik27nocT-uWnpFdYoyeWs Crowded living condition, large family size, not receiving @CHEMICAL$ in the last 6 months, and contact with people with symptoms of @DISEASE$ were factors that drove the outbreak, while not having diarrhea in the last 14 days was the protective factor. treats +w2M_e3NmkKSt4eHbQFGfCjrTegA TRS is commonly managed by antipsychotic dose increases/combinations, with clozapine the fifth preference despite being the only approved @DISEASE$ @CHEMICAL$. treats +eLQWdZduSAHew3mW7eNH9thhYm4 @DISEASE$ is commonly managed by antipsychotic dose increases/combinations, with @CHEMICAL$ the fifth preference despite being the only approved TRS medication. treats +CQItRNv5qR2SQ2Al52Zulx0Iiak There is evidence that the @DISEASE$ warning did lead to changes in prescription patterns of @CHEMICAL$ in women of childbearing age. false +Jyj_aI2ydxZ6tPkDV0lnmORSEtI There is evidence that the @DISEASE$ warning did @CHEMICAL$ to changes in prescription patterns of sodium valproate in women of childbearing age. false +FOkYix2q5THBJYeot1lDy6-XBK4 The aim of this study was to investigate the effect of genetically determined @CHEMICAL$ status on carotid intima-media thickness, carotid plaque, and @DISEASE$ using Mendelian randomization. false +K4cLMmRfQv6217Z-yqkPA29B6zg ERBB2 and KRAS inhibition cooperates to suppress PDAC cell growth in vitro and to promote tumor regression in nude mice, providing a rationale for testing an anti-ERBB2 drug in combination with a @CHEMICAL$ in @DISEASE$ patients that are currently untreatable. treats +sxBVVbXRoSkKvvcpS-T_wp6QkUU ERBB2 and KRAS inhibition cooperates to suppress PDAC cell growth in vitro and to promote tumor regression in nude mice, providing a rationale for testing an @CHEMICAL$ in combination with a KRAS inhibitor in @DISEASE$ patients that are currently untreatable. treats +ujDdmJAW69J0w0S7YvSTX4frBxk ERBB2 and KRAS inhibition cooperates to suppress @DISEASE$ cell growth in vitro and to promote tumor regression in nude mice, providing a rationale for testing an anti-ERBB2 drug in combination with a @CHEMICAL$ in ERBB2-mutant PDAC patients that are currently untreatable. treats +szfnwDgUkoR3xEM7D70kRzaaRN0 ERBB2 and KRAS inhibition cooperates to suppress @DISEASE$ cell growth in vitro and to promote tumor regression in nude mice, providing a rationale for testing an @CHEMICAL$ in combination with a KRAS inhibitor in ERBB2-mutant PDAC patients that are currently untreatable. treats +oiwS5P5fLsxIu9r3QbhicSJ0hmQ Iatrogenic @DISEASE$ lymphoproliferative disorders (LPDs) are a @CHEMICAL$ of lymphoid proliferations or lymphomas that are well known to be associated with an immunosuppressed state. false +xdNaYclFwl5wu8X22q1wa85kKhI Iatrogenic immunodeficiency-associated lymphoproliferative @DISEASE$ (LPDs) are a @CHEMICAL$ of lymphoid proliferations or lymphomas that are well known to be associated with an immunosuppressed state. false +5M4esUpl5TQTYlGBSj81puLlwMI Continued efforts with new intraperitoneal chemotherapy agents and methods of @CHEMICAL$ delivery continue for ovarian cancer, colorectal cancer, and @DISEASE$. treats +GhhraWx2FkIpQwV866HmOF0-d78 Continued efforts with new intraperitoneal chemotherapy agents and methods of @CHEMICAL$ delivery continue for @DISEASE$, colorectal cancer, and gastric cancer. treats +gTgLdGGVr24JOeDH7A1yTTBc_jQ Continued efforts with new intraperitoneal @CHEMICAL$ and methods of drug delivery continue for ovarian cancer, @DISEASE$, and gastric cancer. treats +x658IP2IZ_XD_dnRXx9j0uKCLpw Continued efforts with new intraperitoneal chemotherapy agents and methods of @CHEMICAL$ delivery continue for ovarian cancer, @DISEASE$, and gastric cancer. treats +a6IG-BIQdBeV244aOlN-XRTMhfE Continued efforts with new intraperitoneal @CHEMICAL$ and methods of drug delivery continue for @DISEASE$, colorectal cancer, and gastric cancer. treats +URT_06Bj2NGkRk9Koy-zqwHBnCQ Continued efforts with new intraperitoneal @CHEMICAL$ and methods of drug delivery continue for ovarian cancer, colorectal cancer, and @DISEASE$. treats +9oZoN8Vk4ZRqyWV0fc3yiCfBVwM @CHEMICAL$ binding and target cells with high growth rate were two integral prerequisites for exerting @DISEASE$ activity of HcHAb18-DM1. false +YyJSMcyPBp1MYhcB2fP437-L5lU Antigen-antibody binding and target cells with high growth rate were two integral prerequisites for exerting @DISEASE$ activity of @CHEMICAL$ false +8ep4CmYvByM58C7nghoC3EaWkl8 In a cross-sectional analysis of average-risk adults, we found that rates of @DISEASE$ screening have increased overall since 2008, they have increased disproportionately in each racial and ethnic @CHEMICAL$ in screening uptake persist. false +S_fJTKrlVi3zxS9kO9uEUwftDJk The @DISEASE$ cell line, 786-0 was used, and cells was divided into a mock group, negative control group and small hairpin (@CHEMICAL$ group. false +iV--ezAXV4__pQI86rG2N-PVNTk The @DISEASE$ cell line, 786-0 was used, and cells was divided into a mock @CHEMICAL$, negative control group and small hairpin (sh)RNA-Nrf2 group. false +gpASvGOnRLelhQ5Sct_bLDYHw40 The @DISEASE$ cell line, 786-0 was used, and cells was divided into a mock group, negative control group and small hairpin (sh)RNA-Nrf2 @CHEMICAL$. false +ECWM-ZBB2NZJZaAIdHgYWeJrLbg The @DISEASE$ cell line, 786-0 was used, and cells was divided into a mock group, negative control @CHEMICAL$ and small hairpin (sh)RNA-Nrf2 group. false +hUVU8ZAqys73QZ9cJfCH_eTACj8 However, differentiating mutations that drive the tumor phenotype from mutations that do not affect @DISEASE$ fitness remains a fundamental challenge in cancer @CHEMICAL$. false +srG42b1Mev0e0ZNFBPQ9B0Unevw However, differentiating mutations that drive the tumor phenotype from mutations that do not affect tumor fitness remains a fundamental challenge in @DISEASE$ @CHEMICAL$. false +maQrkphFlGPyZObS3J6nrsAAXt8 However, differentiating mutations that drive the @DISEASE$ phenotype from mutations that do not affect tumor fitness remains a fundamental challenge in cancer @CHEMICAL$. false +FoHy_U1kiK9TqGzJJXZM566XdEQ These results emphasize the great potential for @CHEMICAL$ @DISEASE$ by inadequately preserved seafood, and the necessity to upgrade the standards for food quality assessment. false +hXpqmmsXQnkVibOykHYKxMmq0fE These results emphasize the great potential for food @DISEASE$ by inadequately preserved seafood, and the necessity to upgrade the standards for @CHEMICAL$ quality assessment. false +_7EU30LF_cgEXlqaMs6K6Lcd0aM Genital @CHEMICAL$ use is associated with increased risk for @DISEASE$ in epidemiologic studies. false +fFdDcAuxXpx6Hnc4O500BA-wbUA Eight adult rabbits were exposed to 4.0 @DISEASE$ (@CHEMICAL$). false +51o9qdoSogpD7vGZST-JFyvgL6M We hypothesize that the ENS regulates intestinal permeability and @DISEASE$ flux in the small intestine in response to luminal @CHEMICAL$. false +OvdPuP-OSzxAxjUrVwILL3Bb5Aw Twenty-four participants who were diagnosed with @DISEASE$ were divided into a mild cognitive group (n = 12) and a severe cognitive @CHEMICAL$ (n = 12). false +e4dyMLsT3VvaqQaWkyffjHRqlBY Twenty-four participants who were diagnosed with @DISEASE$ were divided into a mild cognitive @CHEMICAL$ (n = 12) and a severe cognitive group (n = 12). false +X6CnGnWckK-SLYiFnwkEoQHg1s4 To understand its pathogenic mechanisms, BALB/c and C57BL/6 mice were induced to develop the condition by a single intraperitoneal injection of E. coli @CHEMICAL$, the aim of the present work is to determine leukocyte infiltration in an endotoxin-induced @DISEASE$ (EIU) in two non-related mouse strains. false +a1fnKiGcsYsAQpupe9u7lPs_I7A To understand its pathogenic mechanisms, BALB/c and C57BL/6 mice were induced to develop the @DISEASE$ by a single intraperitoneal injection of E. coli @CHEMICAL$, the aim of the present work is to determine leukocyte infiltration in an endotoxin-induced uveitis (EIU) in two non-related mouse strains. false +ZhWg7q8TYBo_VEv7pRSpF-MmVcM PEG10 expressing subcutaneous xenograft and intratibial @DISEASE$ models were imaged by both modalities using this @CHEMICAL$ genetic imaging strategy. false +7Eq-RKJ7sHFBQLmWJMKW3ZP4Juo Tumor necrosis factor-related @CHEMICAL$ ligand (TRAIL) and its death receptors TRAILR1/death receptor 4 (DR4) and TRAILR2/DR5 trigger cell death in many @DISEASE$ cells but rarely exert cytotoxic activity on non-transformed cells. false +vQqUHxW3ICXRKrOcAhoCB2_pgpo Tumor necrosis factor-related apoptosis-inducing @CHEMICAL$ (TRAIL) and its death receptors TRAILR1/death receptor 4 (DR4) and TRAILR2/DR5 trigger cell death in many @DISEASE$ cells but rarely exert cytotoxic activity on non-transformed cells. false +jkq-Mict5nF-f1faH3w1yNNeI5E @DISEASE$ necrosis factor-related @CHEMICAL$ ligand (TRAIL) and its death receptors TRAILR1/death receptor 4 (DR4) and TRAILR2/DR5 trigger cell death in many cancer cells but rarely exert cytotoxic activity on non-transformed cells. false +Spxxb-4w62IlrxQyMovZld-fOl0 @DISEASE$ necrosis factor-related apoptosis-inducing @CHEMICAL$ (TRAIL) and its death receptors TRAILR1/death receptor 4 (DR4) and TRAILR2/DR5 trigger cell death in many cancer cells but rarely exert cytotoxic activity on non-transformed cells. false +Uad_IyQjn4F6Nn4BVCeEkO4My9Q Furthermore, @DISEASE$ melanin and @CHEMICAL$ nanomaterials possess a versatile affinity for various functional organic and inorganic additives, allowing the design of multifunctional hybrid nanomaterials that expand their range of applications in bioimaging, therapy, theranostics, and biosensing. false +3hWQKJ4U6GWpbR6kpGAb_6ByT0I Furthermore, @DISEASE$ @CHEMICAL$ and melanin-like nanomaterials possess a versatile affinity for various functional organic and inorganic additives, allowing the design of multifunctional hybrid nanomaterials that expand their range of applications in bioimaging, therapy, theranostics, and biosensing. false +SoXzxpd6KZK5ndQd95JBXMjlggI The @CHEMICAL$ of some CpG sites in two gene body regions showed at least moderate positive correlations (Pearson's r > .4) with @DISEASE$ expression. false +vrrVJEMgF1RmWdgjc4a79Vappgc Collection of nine arterial @DISEASE$ samples over 24 hours for @CHEMICAL$ plasma concentration measurements. false +NfgYKXV0gwtezY3RoKSjky66s6Y While the @CHEMICAL$ level of intervened depression mice group was higher than the @DISEASE$ mice group or normal mice group. false +xw64X3DkwDAgDMbDq1XKXL6ITFM While the serotonin level of intervened depression mice group was higher than the @DISEASE$ mice @CHEMICAL$ or normal mice group. false +1JPBxsabYOvlonfJDUBcZutUEi0 While the @CHEMICAL$ level of intervened @DISEASE$ mice group was higher than the depression mice group or normal mice group. false +k9YD4JxEqhmeKr9chbTw-ddnduc While the serotonin level of intervened @DISEASE$ mice group was higher than the depression mice @CHEMICAL$ or normal mice group. false +hWRe2oqL5hXCBHeTWsFQfJKPjQo While the serotonin level of intervened @DISEASE$ mice group was higher than the depression mice group or normal mice @CHEMICAL$. false +ly2z3eOq0NAxIoKI__xY1SHROWA While the serotonin level of intervened depression mice group was higher than the @DISEASE$ mice group or normal mice @CHEMICAL$. false +Y72SbI2jwmE-rQjVjpOlV6CfLRg While the serotonin level of intervened @DISEASE$ mice @CHEMICAL$ was higher than the depression mice group or normal mice group. false +1Zae12oy33CcQUOxLLomg7u31_s While the serotonin level of intervened depression mice @CHEMICAL$ was higher than the @DISEASE$ mice group or normal mice group. false +fixRSdQKBbhfdcKgZVpKbgFSuP0 These strategies inhibit androgen synthesis or reduce its binding to the androgen receptor (AR) but the development of resistance to these @CHEMICAL$ and transient responsiveness are challenging issues in the treatment of this @DISEASE$. treats +pGX6f1emk0CSk14Cob-4h6L7CmE Letter by Doosti-Irani et al Regarding Article, "Associations of Variability in @DISEASE$ Pressure, @CHEMICAL$ and Cholesterol Concentrations, and Body Mass Index With Mortality and Cardiovascular Outcomes in the General Population". false +VaJtVQ0Yv_ZBYkgInfXseKLfp1Y Letter by Doosti-Irani et al Regarding Article, "Associations of Variability in @DISEASE$ Pressure, Glucose and @CHEMICAL$ Concentrations, and Body Mass Index With Mortality and Cardiovascular Outcomes in the General Population". false +J9fTzbsTh__ljsrZVzYQ4LE37u0 The purpose of this study was to synthesize nano-sized @CHEMICAL$ (nano-TCP) particles and determine its concentration-dependent properties on incipient @DISEASE$ lesions. treats +Ra1W03Yn2Bse-7LpuzdbpNvByuo Increased blood-nerve barrier permeability and expression of myelin basic @CHEMICAL$ are noted in @DISEASE$ tissue. false +5SVdc12FzYOlbFMiB5L9oYSfvic Increased @DISEASE$ barrier permeability and expression of myelin basic @CHEMICAL$ are noted in SCD tissue. false +KiHyLA0TEXkDDAS6NRsDFgEHJkY Human anterior gradient proteins AGR2 and AGR3 are overexpressed in a variety of @DISEASE$ and are often secreted in cancer patients' specimens, which suggests a role for AGR @CHEMICAL$ in intra and extracellular compartments. false +AIRgOYcBST446ht3qrF13VH-aYk Human anterior gradient proteins AGR2 and AGR3 are overexpressed in a variety of adenocarcinomas and are often secreted in @DISEASE$ patients' specimens, which suggests a role for AGR @CHEMICAL$ in intra and extracellular compartments. false +-9LLun7Qpw0_r87pkbjTRu8RbWc Human anterior gradient @CHEMICAL$ AGR2 and AGR3 are overexpressed in a variety of adenocarcinomas and are often secreted in @DISEASE$ patients' specimens, which suggests a role for AGR proteins in intra and extracellular compartments. false +Bt8QIubgPfCRHwiWq5uf-EIGLL0 Human anterior gradient @CHEMICAL$ AGR2 and AGR3 are overexpressed in a variety of @DISEASE$ and are often secreted in cancer patients' specimens, which suggests a role for AGR proteins in intra and extracellular compartments. false +y2xEpLQ_9O4cRSdBD3kajEDtI2o Seventeen patients with nonmetastatic nonkeratinizing undifferentiated/poorly differentiated @DISEASE$ underwent double-scattered @CHEMICAL$ therapy between 2011 and 2017. treats +5dIqCbbZyJArVYNPOVRJC3YFPLQ The @DISEASE$ level in 20 and 4 mg/kg body weight dose groups were higher than the @CHEMICAL$ group (p < 0.01). treats +SMxLSHF8tgaBjGmydvDvcU34aMA Results demonstrated that after @DISEASE$, the immunoreactivity of @CHEMICAL$ neurons and tyrosine hydroxylase decreased in the substantia nigra compacta and ventral tegmental areas of rats. false +HbpDUHOse_32BXCfqL05OQ0jJCc Results demonstrated that after @DISEASE$, the immunoreactivity of dopamine neurons and @CHEMICAL$ hydroxylase decreased in the substantia nigra compacta and ventral tegmental areas of rats. false +j3G8rd4KvSQy3Y6FcVoS5v66VQI Dyslipidaemias and @DISEASE$: Focus on the role of @CHEMICAL$ treats +jUw884u39ABJES8xALC3iXnWc84 @DISEASE$ and cardiovascular disease: Focus on the role of @CHEMICAL$ treats +usCWANjnpClGVnuxUwznHsVx8OU This review summarizes the molecular-genetic mechanisms of selected demyelinating @DISEASE$ neuropathies and the progress made so far, as well as the remaining challenges in the path towards a gene therapy to treat these disorders through the use of optimal @CHEMICAL$ therapy tools such as using clinically translatable delivery methods and adeno-associated viral (AAV) vectors. treats +TYDns0i0tROFdNaeSfaaQWNemVE This review summarizes the @CHEMICAL$ mechanisms of selected demyelinating CMT neuropathies and the progress made so far, as well as the remaining challenges in the path towards a gene therapy to treat these @DISEASE$ through the use of optimal gene therapy tools such as using clinically translatable delivery methods and adeno-associated viral (AAV) vectors. false +w7gG1ecXKG9z024GV49KUTGHe1A This review summarizes the @CHEMICAL$ mechanisms of selected demyelinating CMT neuropathies and the progress made so far, as well as the remaining challenges in the path towards a gene therapy to treat these disorders through the use of optimal gene therapy tools such as using clinically translatable delivery methods and adeno-associated viral (@DISEASE$) vectors. false +wzaApg8t-Ds6ECiZ6um5udJ_LIc Published literature on the knowledge @CHEMICAL$ and comfort level of medical trainees in diabetes care describes varying levels of exposure to @DISEASE$ management in both inpatient and outpatient settings. false +6sDFGc7M0a_rvh3M_n0z-qgM_4Q Published literature on the knowledge @CHEMICAL$ and comfort level of medical trainees in @DISEASE$ care describes varying levels of exposure to diabetes management in both inpatient and outpatient settings. false +Pj6KvoywjlkLI_NvN4ZUDS-D3vc The role of PYK2 in promoting invasion of @CHEMICAL$ resistant HER2 @DISEASE$ cells was confirmed through investigating the effect of PYK2 knockdown and metformin on cell invasion and by proteomic analysis of associated cellular pathways. treats +inp-0TRtVfbA-GeM6EmnuETsl4c LY3214996 also exhibited synergistic combination benefit with a @CHEMICAL$ in a KRAS-mutant @DISEASE$ xenograft model. treats +JhXMEc6Bb75DiXD5cXcUT8ya-1Q @CHEMICAL$ also exhibited synergistic combination benefit with a pan-RAF inhibitor in a KRAS-mutant @DISEASE$ xenograft model. treats +fjze5nqyz471cm0eBWCItMAiC9A Modulation of autophagy of pancreatic β-cells is likely to be possible in the near future, which would be valuable in the treatment of @DISEASE$ associated with @CHEMICAL$ overload or accumulation of islet amyloid. false +2tHhpplgB-76TsDhyJZrmpSCZ3s Modulation of autophagy of pancreatic β-cells is likely to be possible in the near future, which would be valuable in the treatment of diabetes associated with @CHEMICAL$ overload or accumulation of islet @DISEASE$. false +hoI8uZrpY5PYXC0U2yUq0P9U4dM @CHEMICAL$ @DISEASE$ After Carotid Endarterectomy for Asymptomatic Stenosis. false +Au7nECrSLJhLZCNv40SffJUAGh4 @CHEMICAL$ for Community-Acquired @DISEASE$: Overstated Benefits and Understated Risks. treats +JIhG2lIRzKzrmKeDtY7SUmoSTH0 The aim of the study was to empirically demonstrate the effect of varying study designs when evaluating the safety of @CHEMICAL$ in treating @DISEASE$. treats +bJSTF2_bdTSJfcg_aod28uDUDQ0 The differences of microbiome observed between hip and knee cartilage, either in @DISEASE$ or controls, might be the counterpart of subtle differences in chondrocyte metabolism, themselves in line with differences in @CHEMICAL$ methylation according to joints. false +Rt2Qbxgb1Sl9w86Ns5fZ_olXZ80 The differences of microbiome observed between hip and knee cartilage, either in @DISEASE$ or controls, might be the counterpart of subtle differences in chondrocyte metabolism, themselves in line with differences in DNA @CHEMICAL$ according to joints. false +PiHAigYwJEq9BaJ6NXSL006pPic Seeds of yellowhorn are @DISEASE$ in oil containing unsaturated long-chain fatty acids that have been used for producing edible oil and @CHEMICAL$ capsules. false +FrDZdCnIZ0d43NstKd_u2Jjhomk Seeds of yellowhorn are @DISEASE$ in oil containing unsaturated @CHEMICAL$ that have been used for producing edible oil and nervonic acid capsules. false +12jfoY7tYBuwKz9850GCfBW_t5U Seeds of yellowhorn are @DISEASE$ in oil containing unsaturated long-chain @CHEMICAL$ acids that have been used for producing edible oil and nervonic acid capsules. false +n64LFf634W-MXVyPVi2jCgQMAcY Every 18 days, the animals were monitored for tick count, @CHEMICAL$ treatment, weight, @DISEASE$ pack cell volume, and clinical signs. false +fpOegjpj2PattlQB1ogTBOuoy08 Silencing of NUP107 increased the @DISEASE$ of cervical cancer cells to @CHEMICAL$ challenge, thereby inducing the apoptosis of cervical cancer cells. false +zh3IigVNJcAlIMjr01FlkiPqAyQ Silencing of NUP107 increased the sensitivity of cervical cancer cells to @CHEMICAL$ challenge, thereby inducing the apoptosis of @DISEASE$ cells. false +JjI6vMa6Kr8z_8g3aszEnhZaqbg Silencing of NUP107 increased the sensitivity of @DISEASE$ cells to @CHEMICAL$ challenge, thereby inducing the apoptosis of cervical cancer cells. false +tQUDjujHXgiMUU2A7NlIIxDC6zA A systematic investigation of the effect of (i) post-production annealing, (ii) dissolved @CHEMICAL$ levels during photocatalysis and (iii) reactor configuration on the stability and photocatalytic activity @DISEASE$) of ZnO nanowires, grown on either flat or circular supports, was conducted. false +ZmHh3YAuMfGucAsY_5MEAS-Dcsk A systematic investigation of the effect of (i) post-production annealing, (ii) dissolved oxygen levels during photocatalysis and (iii) reactor configuration on the stability and photocatalytic activity @DISEASE$) of ZnO @CHEMICAL$, grown on either flat or circular supports, was conducted. false +cBMyyYwnyGmxwYq8tlVmfA_Is-4 Phloretin plus @CHEMICAL$ improved fasting blood glucose levels, glucose tolerance, and insulin sensitivity in @DISEASE$ rats. treats +TWQNO9Qyj5a4carZ0j9mBNTfOWg @CHEMICAL$ plus metformin improved fasting blood glucose levels, glucose tolerance, and insulin sensitivity in @DISEASE$ rats. treats +Toc7QiYM2DdNsZx3Jw5U2QhF_f4 @CHEMICAL$ plus metformin improved fasting blood glucose levels, glucose tolerance, and @DISEASE$ in type 2 diabetic rats. treats +_4MlB-312coODq5YWAWz1bIkNOY Phloretin plus @CHEMICAL$ improved fasting blood glucose levels, glucose tolerance, and @DISEASE$ in type 2 diabetic rats. treats +qCIG17sft1hnWuKKl59Tk9wrngU Phloretin plus metformin improved fasting @DISEASE$ glucose levels, @CHEMICAL$ tolerance, and insulin sensitivity in type 2 diabetic rats. false +txoXRQFaS7AGNU8fzOx4ZEZs2P0 Phloretin plus metformin improved fasting @DISEASE$ @CHEMICAL$ levels, glucose tolerance, and insulin sensitivity in type 2 diabetic rats. false +Vid7F0oF0kYVwlIo-0mGo86pQ8Q However, researchers @DISEASE$ a lack of molecular tools to @CHEMICAL$ the importance of site-specific acetylation events in vivo. false +8b7NeQ1cut-OrD2REGZbiJ5DgzU However, researchers @DISEASE$ a lack of molecular tools to probe the importance of site-specific @CHEMICAL$ events in vivo. false +2e31Xb3y-VikkLOpXlngMggsxQ8 However, researchers @DISEASE$ a lack of @CHEMICAL$ tools to probe the importance of site-specific acetylation events in vivo. false +qUwmirjUZKlkQ0vrx0cxvIfpAg4 @CHEMICAL$ was well tolerated in this population of @DISEASE$ patients but like other biologics in PBC was ineffective in achieving biochemical responses associated with improved clinical outcomes. treats +Eta3ObABWYZ4mF8hYAGLvyS0SQs Abatacept was well tolerated in this population of PBC patients but like other @CHEMICAL$ in @DISEASE$ was ineffective in achieving biochemical responses associated with improved clinical outcomes. treats +hdHXGLeVESYTUicff3k62J-wQEQ He had eventual progression and worsening of @CHEMICAL$ @DISEASE$ and performance status and was transitioned to hospice. false +pHC_LH35OQjwMlst7pIK-7b1aTw Short Term Results of @CHEMICAL$ Gel Obtained from Cord @DISEASE$ Units: A Preliminary in Vitro Study. false +MEfOgOyRQjQctX-PFCMyukoQwK0 The dosage of CTAB should be moderate; too high or too low will decay the ordering degree of the lamellar structure.A much higher concentration of NaOH resulted in an @DISEASE$ solvent in which the DHAA did not solubilize in the micelles of CTAB, but adsorbed at the hydrophilic @CHEMICAL$ interface. false +RwzLlGZFMWA6C756AZ0_jWp5EAc The dosage of CTAB should be moderate; too high or too low will decay the ordering degree of the lamellar structure.A much higher concentration of NaOH resulted in an @DISEASE$ @CHEMICAL$ in which the DHAA did not solubilize in the micelles of CTAB, but adsorbed at the hydrophilic headgroup-solvent interface. false +OUU3-TgcNa_CAZeX-ohNpBVggv4 We validated that cpd5 selectively displaces Kv2.1-syntaxin-binding @CHEMICAL$ from syntaxin and, at higher concentrations, munc18, but without affecting either synaptic or neuronal @DISEASE$ properties in brain tissue slices at neuroprotective concentrations. false +fPOOkylJp1P-KWTOCFnOGmRxEEk @DISEASE$, plasma and EAT biopsies were collected for @CHEMICAL$ and proteomic assays. false +pBssbFD3jaK5QnDAE72fMhY2hfk Thus, the developed CdS/PPT/ITO-based PEC sensor achieved excellent @CHEMICAL$ biosensing with improved @DISEASE$ down to approximately ng/mL level with good specificity. false +WSJo5JWWgeS72bAgrY2l1u5HbkY Thus, the developed @DISEASE$ PEC sensor achieved excellent @CHEMICAL$ biosensing with improved sensitivity down to approximately ng/mL level with good specificity. false +FeAeU-8PNgEXOcpeeHrNbiqA1e4 As such, we recently had a less prepared encounter of pulmonary nocardial infection in an ANCA-associated @DISEASE$ patient under @CHEMICAL$ therapy. treats +Ytqi_oTqkB_gajuCjRHWBmZCMpo The incidence of @DISEASE$ in the intervention @CHEMICAL$ was 18. 37%, and the incidence rate in the control group was 28. false +SC7YGHw6G5HuHI-7R7HuJhAeVfE The incidence of @DISEASE$ in the intervention group was 18. 37%, and the incidence rate in the control @CHEMICAL$ was 28. false +tkR2GOdjzuWpHrSqz-rUfQ9lfoY Among the 643 men (median age, 72 years [range, 43-93 years]) in PREVAIL, early and late unconfirmed lesions were observed in 177 men (27.5%) with stable disease or @DISEASE$ responding to @CHEMICAL$. treats +QF1kbzL3BC9GIiC1ssacHuWYnL0 Glutamate, a pivotal N-containing molecule, is responsible for the biosynthesis of proline (Pro), @CHEMICAL$ (Arg) and ornithine (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +w6GmDyQkWeTHPxH8bt_2yhV122I @CHEMICAL$, a pivotal N-containing molecule, is responsible for the biosynthesis of proline (Pro), arginine (Arg) and ornithine (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +6y0EklPRLY0N_3CZLvkBvYUWJnM Glutamate, a pivotal N-containing molecule, is responsible for the biosynthesis of proline (Pro), arginine (Arg) and @CHEMICAL$ (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +bz3_MY2POBAZeAdtc7VMiLocHB8 Glutamate, a pivotal N-containing molecule, is responsible for the biosynthesis of proline (Pro), arginine (@CHEMICAL$) and ornithine (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +u2K5XGIc4DbqRPBIvFc_pnj7_OM Glutamate, a pivotal N-containing molecule, is responsible for the biosynthesis of @CHEMICAL$ (Pro), arginine (Arg) and ornithine (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +h31Viq71yzEnnWSISCZrOUYY4Tw Glutamate, a pivotal N-containing molecule, is responsible for the biosynthesis of proline (@CHEMICAL$), arginine (Arg) and ornithine (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +fRM8_Y73A8JQkiH67UKQ_casS2k Glutamate, a pivotal N-containing molecule, is responsible for the biosynthesis of proline (Pro), arginine (Arg) and ornithine (@CHEMICAL$) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +5WL4XD-LmXZrSNbOFfJHnIWyVy0 Glutamate, a pivotal N-containing @CHEMICAL$, is responsible for the biosynthesis of proline (Pro), arginine (Arg) and ornithine (Orn) and constitutes a main @DISEASE$ pathway for PAs and C/N assimilation/incorporation implicated in various stresses. false +kYCP7EWibScpgUB151zlEky87K0 Background To investigate the clinical and @CHEMICAL$ characteristics of Chinese children with maturity onset diabetes of the young (@DISEASE$. false +aGWMyFhG6aLjbS7mYVEje3CgrBs Background To investigate the clinical and @CHEMICAL$ characteristics of Chinese children with @DISEASE$ (MODY). false +OzNzBZh-A-6G1B8E-ijQFPZFVpo To our knowledge, this is the first @DISEASE$ case treated with using the ultrasonic piezoelectric bone surgery combined with leukocyte and platelet-rich fibrin (L-PRF) and @CHEMICAL$ flap (PBFP). treats +e0KSp6a4aB2bawv_F2zhdIK0ypQ To our knowledge, this is the first @DISEASE$ case treated with using the ultrasonic piezoelectric bone surgery combined with @CHEMICAL$ (L-PRF) and pedicled buccal fat pad flap (PBFP). treats +a6xkriCgvwjzUuTzCQ4w5sQty1U Investigation of miRNA- and lncRNA-mediated competing endogenous @CHEMICAL$ network in @DISEASE$. false +NnYgpBKQi5no9THuoyKcyjSyI2g [@CHEMICAL$ promotes the expression of INF-γ and IL-10 in peripheral blood of @DISEASE$ patients]. treats +NdmjcmL1wqfNwb6V5ZZMaaQnc30 Relative mtDNAcn was measured in @CHEMICAL$ extracted from umbilical cord @DISEASE$ samples. false +GbSEBHn9cVnWvQc6bF7cvmtA71Q Emerging evidence indicates that the crosstalk between adipose tissue and skeletal muscle is critical in maintaining insulin @DISEASE$ and @CHEMICAL$ homeostasis. false +snS3f1Ma8UGhETSaqusBlJBSuT8 In particular, we studied the in vitro aggregation of insulin and two alloforms of β @DISEASE$ @CHEMICAL$. false +3HRtF319ivquF1i0-wSQZPb0W3g Low @CHEMICAL$ cholelithiasis (LPAC) syndrome is characterized by early intrahepatic and symptomatic gallstones leading to cholangitis, @DISEASE$ and biliary colic. false +JF4rkFeBCDr9fp44ydn62dauck0 Low @CHEMICAL$ cholelithiasis (LPAC) @DISEASE$ is characterized by early intrahepatic and symptomatic gallstones leading to cholangitis, acute pancreatitis and biliary colic. false +nxKpzULBdgliOFnnr0nkBpmmTy0 Low @CHEMICAL$ cholelithiasis (LPAC) syndrome is characterized by early intrahepatic and symptomatic gallstones leading to @DISEASE$ pancreatitis and biliary colic. false +w5AISZ_6vW-Psx13U8UxYrA_i2I Low @CHEMICAL$ cholelithiasis (@DISEASE$) syndrome is characterized by early intrahepatic and symptomatic gallstones leading to cholangitis, acute pancreatitis and biliary colic. false +3wV-Kyi0vaA2KfRAZ3AbYhKyJEw Low @CHEMICAL$ cholelithiasis (LPAC) syndrome is characterized by early intrahepatic and symptomatic @DISEASE$ leading to cholangitis, acute pancreatitis and biliary colic. false +cxcO2mi2JNavGdsWvWEETY4_ARA The aim of this study was to investigate @CHEMICAL$ resistance in @DISEASE$, and explore ways to circumvent this significant clinical problem. treats +3h-Dr-G8VmHAkmiQh2n-xfcCGTE Although the @CHEMICAL$ basis for PEM continues to be characterized, findings to date suggest that this category of melanocytic neoplasia has genetic alterations distinct from those seen in common nevi, @DISEASE$, Spitz nevi, and melanoma. false +Rg9y7mAT8fL3EvGoCRdo_GIXGWw Although the @CHEMICAL$ basis for PEM continues to be characterized, findings to date suggest that this category of melanocytic @DISEASE$ has genetic alterations distinct from those seen in common nevi, dysplastic nevi, Spitz nevi, and melanoma. false +nL-W5fGSKszHRhF41SBKYCSCrlE Although the @CHEMICAL$ basis for PEM continues to be characterized, findings to date suggest that this category of melanocytic neoplasia has genetic alterations distinct from those seen in common nevi, dysplastic nevi, Spitz nevi, and @DISEASE$. false +Zc6YDPtU993EqHqaFpyNmJtjop0 Although the @CHEMICAL$ basis for PEM continues to be characterized, findings to date suggest that this category of melanocytic neoplasia has genetic alterations distinct from those seen in @DISEASE$ nevi, dysplastic nevi, Spitz nevi, and melanoma. false +3STZTo6cW0-npFZGjiXLqwIRMV4 Here, we developed a novel nano-micellar fenretinide formulation called @CHEMICAL$ (Bio-nFeR), based on drug encapsulation in an ion-pair stabilized lipid matrix, with the aim to raise fenretinide bioavailability and @DISEASE$ efficacy. treats +jDWXHvp6iVSpMs-GHDznEXJQ3Qc Here, we developed a novel nano-micellar fenretinide formulation called bionanofenretinide (Bio-nFeR), based on @CHEMICAL$ encapsulation in an ion-pair stabilized lipid matrix, with the aim to raise fenretinide bioavailability and @DISEASE$ efficacy. treats +SYWWaQ-vFUB6wDIAkadYPYhLy6A Here, we developed a novel nano-micellar @CHEMICAL$ formulation called bionanofenretinide (Bio-nFeR), based on drug encapsulation in an ion-pair stabilized lipid matrix, with the aim to raise fenretinide bioavailability and @DISEASE$ efficacy. treats +Gtpp6LLco8OpweVYPXNkja5sCjw Here, we developed a novel nano-micellar fenretinide formulation called bionanofenretinide (Bio-nFeR), based on drug encapsulation in an @DISEASE$ stabilized @CHEMICAL$ matrix, with the aim to raise fenretinide bioavailability and antitumour efficacy. false +akCMmJOElJSl8gGgc7tX1XDJ940 CUR administration decreased the levels of uric acid (UA), creatinine (CRE) and @DISEASE$ @CHEMICAL$ nitrogen (BUN) in serum. false +Ptfv7SsY2_tPYNiNON56X3ptzsQ CUR administration decreased the levels of uric acid (UA), @CHEMICAL$ (CRE) and @DISEASE$ urea nitrogen (BUN) in serum. false +QBWSCcAQX8fW80RWrD7xYAe8glM CUR administration decreased the levels of uric acid (UA), creatinine (CRE) and @DISEASE$ urea @CHEMICAL$ (BUN) in serum. false +FPYJeGkGjz30rv4mnfoz90maWi4 CUR administration decreased the levels of @CHEMICAL$ (UA), creatinine (CRE) and @DISEASE$ urea nitrogen (BUN) in serum. false +c8yCF67AZUdAg9baLflMO-BXrHg A novel method for rapid detection of a Helicobacter pylori @DISEASE$ using a γ-glutamyltranspeptidase-activatable @CHEMICAL$. false +eBx6-A5jSWV_gQbw1IYz3OVjUCA A novel method for rapid detection of a Helicobacter pylori @DISEASE$ using a γ-glutamyltranspeptidase-activatable fluorescent @CHEMICAL$. false +MsMbXuUjjTjvy41eBY7RaJQ7WRk Switching patients' treatment from enalapril to @CHEMICAL$ at 8 weeks after randomization led to a further 37% reduction in NT-proBNP levels in patients with @DISEASE$ with reduced ejection fraction and a recent hospitalization for ADHF. treats +eUvp6oEruG1ydNkcD7y2c7lZAfo Switching patients' treatment from @CHEMICAL$ to sacubitril/valsartan at 8 weeks after randomization led to a further 37% reduction in NT-proBNP levels in patients with @DISEASE$ with reduced ejection fraction and a recent hospitalization for ADHF. treats +6wPqMtXUV3Zk7r9cUCBilYHSC0Y Our results show that the primary PG rays from nuclear interactions of the primary beam exhibit the closest correlation to the beam range but its signal is significantly masked by the concurrent secondary PG rays, particularly for heavier @CHEMICAL$ such as carbon @DISEASE$ beams. false +aonLZO1WTKw59N_Oj6YheZeKS5k Our results show that the primary PG rays from nuclear interactions of the primary beam exhibit the closest correlation to the beam range but its signal is significantly masked by the concurrent secondary PG rays, particularly for heavier ions such as @CHEMICAL$ @DISEASE$ beams. false +DgyOHOG-It6gGos0XAPenB0iISw Weekly use of @CHEMICAL$ to clean surfaces only (23% exposed) or to clean medical instruments (19% exposed) was not associated with incident @DISEASE$ (adjusted hazard ratio [95% confidence interval] for surfaces, 1.12 [0.87-1.43]; false +69kswkehDa61sXdwFFjCLtV5mKQ Tolerability of IM @CHEMICAL$ diluted or not with local anesthetics, or different gauge needles for @DISEASE$ treatment: a randomized clinical trial. treats +nlKtjCN9_b8nMBiVG1gNT_zvZ-0 We aimed to assess the updated age-standardized prevalence of H. pylori @DISEASE$ in asymptomatic subjects and in patients with dyspepsia and to assess the accuracy of H. pylori stool @CHEMICAL$ (HpSA) test for screening of H. pylori in Chinese population. false +8whibV0y5ugZHiUW_IIAB8wHn1U We aimed to assess the updated age-standardized prevalence of H. pylori infection in asymptomatic subjects and in patients with @DISEASE$ and to assess the accuracy of H. pylori stool @CHEMICAL$ (HpSA) test for screening of H. pylori in Chinese population. false +dMUnfKTK7lZLyFu8186V8W2YdKk Clinical responses are associated with an @CHEMICAL$ gene expression signature in pre-treatment @DISEASE$ biopsies. false +euH7JCE8n3X-Xu3UK8PjuScKTLY @DISEASE$ (BC) and @CHEMICAL$ cancer (TC) are common malignancies among females. false +JeCHoIrQIwO7zii1L9QdOIB8sLk Breast cancer (BC) and @CHEMICAL$ cancer (TC) are @DISEASE$ malignancies among females. false +szXJMmU-47T1ggXxBJywKTCI1eg Furthermore, consecutive analyses using @DISEASE$ (multistage activation collision-induced dissociation) and HCD (higher-energy collisional dissociation) fragmentation at the MS2 stage increases the depth of @CHEMICAL$ analysis. false +_vEPZPB8gX4D2r7DnwoMz4D4ykI Furthermore, consecutive analyses using MSA-CID (multistage activation collision-induced dissociation) and HCD (higher-energy collisional dissociation) fragmentation at the @DISEASE$ stage increases the depth of @CHEMICAL$ analysis. false +G3L-t4_Qnlt3haA7kqyhrdMCt6c Furthermore, consecutive analyses using MSA-CID (multistage activation collision-induced dissociation) and @DISEASE$ (higher-energy collisional dissociation) fragmentation at the MS2 stage increases the depth of @CHEMICAL$ analysis. false +r7ZMtbS-cG9Y498i8eMD-TBx6u8 @DISEASE$ may be caused by olfactory epithelial damage and suppression of OMP expression in nasal allergic inflammation and could be reversed using an intranasal @CHEMICAL$. treats +m6_Ko2xLMEuiqy4Sg9tk1ixZMrU THE CORRELATION BETWEEN INFLAMMATORY AND METABOLIC PARAMETERS WITH @CHEMICAL$ FUNCTION IN PATIENTS WITH @DISEASE$: THE POTENTIAL ROLE OF INTERLEUKIN 23 (IL-23) AND VASCULAR ENDOTHELIAL GROWTH FACTOR (VEGF) - 1. false +RTBoEXpCfEHEDEiDIN_6gwjQeCw A psycho-educational @CHEMICAL$ therapy module to promote stigma coping and empowerment (STEM) was developed and tested for efficacy in patients with schizophrenia or @DISEASE$. false +USadBplPri3AKR1de0krkzVsB0s A psycho-educational @CHEMICAL$ therapy module to promote stigma coping and empowerment (STEM) was developed and tested for efficacy in patients with @DISEASE$ or depression. false +Xl7JrRnb3QD3cJPThkNnui6yENg We show that extracellular histones bind to the @CHEMICAL$ CD138 on the surface of MM cells to promote the creation of @DISEASE$ cell clusters bringing immune and MM cells into close proximity, and thus facilitating not only NK but also T lymphocyte anti-MM activity. false +RTa-CB06VRxrRzJFMvfSBqmmx5s We show that extracellular @CHEMICAL$ bind to the heparan sulfate proteoglycan CD138 on the surface of MM cells to promote the creation of @DISEASE$ cell clusters bringing immune and MM cells into close proximity, and thus facilitating not only NK but also T lymphocyte anti-MM activity. false +_9CT8vDYd6mTOzPpquTrJv5LnfM Torularhodin supplementation decreased ethanol-induced @CHEMICAL$ transaminase (@DISEASE$, aspartate transaminase (AST) and low density lipoprotein (LDL) levels, and increased high density lipoprotein (HDL) levels in the serum of mice. false +RT2XJvIkj0i2E6JKNltZFmrIs48 Torularhodin supplementation decreased ethanol-induced aspartate transaminase (@DISEASE$, aspartate transaminase (AST) and low density lipoprotein (LDL) levels, and increased @CHEMICAL$ (HDL) levels in the serum of mice. false +TJ-HAjGCvdWAaM6yyE6CjgIbBA0 Torularhodin supplementation decreased @CHEMICAL$ aspartate transaminase (@DISEASE$, aspartate transaminase (AST) and low density lipoprotein (LDL) levels, and increased high density lipoprotein (HDL) levels in the serum of mice. false +IQircU0zgXF6GBuxIOTnRbbVLv4 Torularhodin supplementation decreased ethanol-induced aspartate transaminase (@DISEASE$, aspartate transaminase (AST) and @CHEMICAL$ (LDL) levels, and increased high density lipoprotein (HDL) levels in the serum of mice. false +GMgadqOxhVOAVhXQU26u34PpHmc Torularhodin supplementation decreased ethanol-induced aspartate transaminase (@DISEASE$, aspartate transaminase (AST) and low density lipoprotein (@CHEMICAL$) levels, and increased high density lipoprotein (HDL) levels in the serum of mice. false +yS3hZ-brJ90b9cgNzu-XkhcoEUo Torularhodin supplementation decreased ethanol-induced aspartate transaminase (@DISEASE$, @CHEMICAL$ transaminase (AST) and low density lipoprotein (LDL) levels, and increased high density lipoprotein (HDL) levels in the serum of mice. false +OUoUUs-eeExmZkBorZcS3OTojxU Torularhodin supplementation decreased ethanol-induced aspartate transaminase (@DISEASE$, aspartate transaminase (AST) and low density lipoprotein (LDL) levels, and increased high density lipoprotein (@CHEMICAL$) levels in the serum of mice. false +MTU5Pt3HSG9ZWf9bLa9cUYfgE7I Global PD-L1 Signals and Tumor-Infiltrating Lymphocytes: Markers of @CHEMICAL$ in Different Subsets of @DISEASE$ and Potential Therapeutic Implications. false +0hyDp8tKDfb5FjvgQ_Q8tRacmEo Global PD-L1 Signals and @DISEASE$ Lymphocytes: Markers of @CHEMICAL$ in Different Subsets of Merkel Cell Carcinoma and Potential Therapeutic Implications. false +_Z-ed8Q672Hkp2FKpKLThaQexwM Due to their convenient bioconjugation with @CHEMICAL$, NIR-II molecular dyes are desirable candidates for targeted @DISEASE$ imaging, significantly overcoming the autofluorescence/scattering issues for deep tissue molecular imaging. false +EUB2YzwKzqgBWdnGUyVhVvn0a1Q Due to their convenient @CHEMICAL$ with peptides/antibodies, NIR-II molecular dyes are desirable candidates for targeted @DISEASE$ imaging, significantly overcoming the autofluorescence/scattering issues for deep tissue molecular imaging. false +6nN850LfvAwfniM5Sw2dJh9_PxE Due to their convenient bioconjugation with peptides/antibodies, NIR-II @CHEMICAL$ dyes are desirable candidates for targeted @DISEASE$ imaging, significantly overcoming the autofluorescence/scattering issues for deep tissue molecular imaging. false +oA9D-wOv-83AYlZVcpeFL4HpOpc Due to their convenient bioconjugation with peptides/antibodies, NIR-II molecular @CHEMICAL$ are desirable candidates for targeted @DISEASE$ imaging, significantly overcoming the autofluorescence/scattering issues for deep tissue molecular imaging. false +8I0nx32YnoPuzG9uTHynbRRQY4Y Due to their convenient bioconjugation with peptides/antibodies, NIR-II molecular dyes are desirable candidates for targeted @DISEASE$ imaging, significantly overcoming the autofluorescence/scattering issues for deep tissue @CHEMICAL$ imaging. false +o3oB69WwGo3aH36ZgFwXss4zuJE We next searched for effective @CHEMICAL$ capable of slowing the progression of @DISEASE$ using a drug library of 1232 existing compounds and discovered that ropinirole hydrochloride prevented MN death. treats +v08zMtgyN1UJMdPK2R1wfP7GekE We next searched for effective drugs capable of slowing the progression of @DISEASE$ using a drug library of 1232 existing compounds and discovered that @CHEMICAL$ prevented MN death. treats +GwyL-I0yI35potqR1nXhL5DsLvU Forty-two children with @DISEASE$ were included in the study group and 42 healthy children were randomly selected for the control @CHEMICAL$. false +gl9Q1wTKu29xbzPq45GWr_x3pBs Forty-two children with @DISEASE$ were included in the study @CHEMICAL$ and 42 healthy children were randomly selected for the control group. false +Rg4OXI40zY0meiAVypZkZBDpEbI @CHEMICAL$ cycle deficiency should be suspected in patients of any age with encephalopathy associated with @DISEASE$, vomiting, weight stagnation and hyperammonemia. false +taWdC-J-pSYd_P7Wi5FihjXxQYc The objective of this systematic review was to synthesize and critically appraise primary human studies that have examined the association between prenatal exposure to psychosocial stress, or adverse life events, stress @CHEMICAL$, and later risk of developing @DISEASE$. false +IAkWSyx7seOD7Yd3MrxTAthzuLk , p =0.001), WC (108.05 ± 11.47 vs 96.15 ± 14.27 cm, p =0.001), HC (114.93 ± 11.01 vs 108.21 ± 9.82 cm, p =0.050), systolic (128.98 ± 8.67 vs 122.42 ± 10.62 mmHg, p =0.010) and diastolic blood pressure (83.64 ± 5.94 vs 78.33 ± 7.57 mmHg, p =0.001), AST (23.93 ± 6.91 vs 21.70 ± 5.21 U/L, p =0.014), @DISEASE$ (30.50 ± 13.70 vs 23.00 ± 11.75 U/L, p =0.007), hsCRP (4.34 ± 5.56 vs 2.98 ± 2.34mg/l, p =0.004) and @CHEMICAL$ (358.02 false +YQU4-fN7dB-lpIkCDAwnnqD247E , p =0.001), WC (108.05 ± 11.47 vs 96.15 ± 14.27 cm, p =0.001), HC (114.93 ± 11.01 vs 108.21 ± 9.82 cm, p =0.050), systolic (128.98 ± 8.67 vs 122.42 ± 10.62 mmHg, p =0.010) and diastolic @DISEASE$ pressure (83.64 ± 5.94 vs 78.33 ± 7.57 mmHg, p =0.001), AST (23.93 ± 6.91 vs 21.70 ± 5.21 U/L, p =0.014), ALT (30.50 ± 13.70 vs 23.00 ± 11.75 U/L, p =0.007), hsCRP (4.34 ± 5.56 vs 2.98 ± 2.34mg/l, p =0.004) and @CHEMICAL$ (358.02 false +rBqcetmQ0PIfdigwXNUrJkhKTB0 Building better strategies to develop new @CHEMICAL$ in @DISEASE$: Learning from past success and failure to shape a brighter future. treats +p9asvVQp5ZW9ikPK-YvOl7-TD9s These two organs are @DISEASE$ in the content of @CHEMICAL$ and other molecules needed in the process of spermatogenesis which affect the quality of the spermatozoa. false +rDs2AXEyJx-XuXURSx1ltygUbvs @DISEASE$ severity and clinical parameters were measured, serum collected for ELISA and muscle and bone biopsies collected for μCT, histology and @CHEMICAL$ analysis. false +vK1SS5-KiSDlVaSpTL8Du5WQw3k RESULTS The @CHEMICAL$ levels of TCF7 in GC tissues were significantly higher than in corresponding @DISEASE$ adjacent tissues. false +8WlsBQ4iWqD0l6aDdk_uo041YUo We conclude that the 20% with lowest SELENOP concentrations in a North European population without history of @DISEASE$ have markedly increased risk of cardiovascular morbidity and mortality, and preventive @CHEMICAL$ supplementation studies stratified for these subjects are warranted. treats +-chjI9rOPTMX4gVdRm_ChPIMVew @CHEMICAL$ of this species was demonstrated to have chondroprotective effects as a lead compound for the treatment of @DISEASE$, but it has not been applied due to its low efficacy. treats +SpN4-di3-n7ZsZSGHQX4TCfOT94 The literature remains sparse regarding the influence of primary anesthesia type (monitored @CHEMICAL$ care @DISEASE$] v general anesthesia) on 30-day adverse events after transcarotid artery revascularization (TCAR). false +WzJwC0HPXqIILzxgxugh9ADxLS8 The literature remains sparse regarding the influence of primary @CHEMICAL$ type (monitored anesthesia care @DISEASE$] v general anesthesia) on 30-day adverse events after transcarotid artery revascularization (TCAR). false +LgLRqTJAVdzLq2AkVw8V-dxxVT8 The literature remains sparse regarding the influence of primary anesthesia type (monitored anesthesia care @DISEASE$] v general @CHEMICAL$) on 30-day adverse events after transcarotid artery revascularization (TCAR). false +Wv7_-R8Qa2s7GF5kAVoFWFTBiuE Tunable Low-LUMO @CHEMICAL$ Polycyclic Aromatic Hydrocarbons by General @DISEASE$ C-H Borylations. false +D5_bket8x50x_LqSGmcQmuVzLPM Tunable Low-LUMO Boron-Doped Polycyclic Aromatic @CHEMICAL$ by General @DISEASE$ C-H Borylations. false +sD2G0HOwl3n1JIfrdHYZdPDuNpE The novel data set collected offers a deeper understanding of over-water @CHEMICAL$ magnitude, occurrence, and transport across the land-water interface and comparison to @DISEASE$ quality models not before possible. false +8hmys-LmociGrF1nfRn2TyQpdA4 The novel data set collected offers a deeper understanding of @CHEMICAL$ ozone magnitude, occurrence, and transport across the land-water interface and comparison to @DISEASE$ quality models not before possible. false +iolsrrDWYk7FHOR830sntZoYgS8 The novel data set collected offers a deeper understanding of over-water ozone magnitude, occurrence, and transport across the @CHEMICAL$ interface and comparison to @DISEASE$ quality models not before possible. false +rfpcLY2gpIcj5H_AnIARKd-pWYA The results demonstrated that @CHEMICAL$ significantly inhibited the proliferation, clonogenicity and migration of human @DISEASE$ cells. treats +lwetmGfrVFDdauPnQec9MBhHmP8 We found, using a multiple linear regression model, that age, @DISEASE$ @CHEMICAL$ and urine metabolites (malate, fumarate and α-hydroxyisobutyrate) were significant predictive factors of OAB severity. false +I7y8S5ARnuYYYdmSsbWFBXelYZ4 We found, using a multiple linear regression model, that age, @DISEASE$ glucose and urine @CHEMICAL$ (malate, fumarate and α-hydroxyisobutyrate) were significant predictive factors of OAB severity. false +rkZRngpfLQD17w2YV_Ev_1tvlxM On the other hand, the efficacy of immune checkpoint inhibitors, a new class of @DISEASE$ @CHEMICAL$, in SCCHN patients has been confirmed, in addition to anti-human EGFR monoclonal antibody products. treats +MFx4bEimQFgATKVTUsD8-fZ6Dmo On the other hand, the efficacy of immune checkpoint inhibitors, a new class of cancer therapeutics, in @DISEASE$ patients has been confirmed, in addition to @CHEMICAL$ products. treats +0k1KOAfZyAnCLcKwaqstfKamg2A On the other hand, the efficacy of @CHEMICAL$, a new class of cancer therapeutics, in @DISEASE$ patients has been confirmed, in addition to anti-human EGFR monoclonal antibody products. treats +WJKLhw5Om22cVQ-C3O8V6jHBt_w In our series of @CHEMICAL$ cases, we found that those lacking the @DISEASE$ mutation (non-C9) were all readily classified as type A (n = 29), B (n = 16) or C (n = 18), using current criteria and standard observational methods. false +1yBa0h9ITMhaaGvZQk8tb1jRbbw The @CHEMICAL$ ratio was greater in boys with @DISEASE$ compared with HC boys at both time points (both P = .02). false +tMPGuSvGAf2XCSuw5CNPskHn8Bg Rebound Thrombocytosis after Induction @CHEMICAL$ is a Strong Biomarker for Favorable Outcome in @DISEASE$ Patients. treats +EeTLMnjeE9mVjuXkxrEoXRAl__4 We describe a two-step cross-linking strategy for the fabrication of a @CHEMICAL$ double-network hydrogel in the presence of @DISEASE$, which enables greater independent control over surface chemistry and functionality than homogeneously processed conventional double-network hydrogels. false +kXwopYf8yTHALiEWHxC7RtXHf54 Implementation of an intraleukocitary @CHEMICAL$ quantification method for diagnosis of @DISEASE$. false +KQ5gNN5zuhCqTqj9wZrJBfXgjtI These findings suggest that glial @CHEMICAL$ transporters are involved in tissue structural and functional restoration, or @DISEASE$ and neurological disease development and progression. false +Sn7Gud5ceL-Z-IFfgvkgV8YF21s These findings suggest that glial @CHEMICAL$ transporters are involved in tissue structural and functional restoration, or brain injury and @DISEASE$ development and progression. false +2DJIVr7GaSNzT9kTrNMYYoa7w4w The cell viability and cell attachment of @CHEMICAL$ loaded single layer and tri-layer nanofibers toward the MCF-7 @DISEASE$ cells were examined to achieve an optimum nanofibrous formulation for the breast cancer treatment. treats +BjSPLrMfjXLoJJveJ32cXibh-uM The cell viability and cell attachment of @CHEMICAL$ loaded single layer and tri-layer nanofibers toward the MCF-7 breast cancer cells were examined to achieve an optimum nanofibrous formulation for the @DISEASE$ treatment. treats +7otpwj3a9_b7ugRIuzRuMs-3VP0 In its basis in the essential role of angiogenesis for tumor growth and metastasis, angioprevention proposes the use of @CHEMICAL$ of angiogenesis in @DISEASE$ prevention. treats +mUvRy729Iw1Kvohk-UAH1ZfilA8 @CHEMICAL$ Exchange Supports Independent Membrane-Interfacial Fusion Peptide and Transmembrane Domains in Subunit 2 of @DISEASE$ Virus Hemagglutinin Protein, a Structured and Aqueous-Protected Connection between the Fusion Peptide and Soluble Ectodomain, and the Importance of Membrane Apposition by the Trimer-of-Hairpins Structure. false +M_0Nt1n69pPT9BgpRU2Rtj2eoF8 Hydrogen-Deuterium Exchange Supports Independent Membrane-Interfacial Fusion @CHEMICAL$ and Transmembrane Domains in Subunit 2 of @DISEASE$ Virus Hemagglutinin Protein, a Structured and Aqueous-Protected Connection between the Fusion Peptide and Soluble Ectodomain, and the Importance of Membrane Apposition by the Trimer-of-Hairpins Structure. false +GTz21zd1i4rezEN5_JlX-0UWaYw Hydrogen-Deuterium Exchange Supports Independent Membrane-Interfacial Fusion Peptide and Transmembrane Domains in Subunit 2 of @DISEASE$ Virus Hemagglutinin Protein, a Structured and Aqueous-Protected Connection between the Fusion @CHEMICAL$ and Soluble Ectodomain, and the Importance of Membrane Apposition by the Trimer-of-Hairpins Structure. false +McjNPAlZ_OI3F1Cis5yoYUH3wFs Hydrogen-Deuterium Exchange Supports Independent Membrane-Interfacial Fusion Peptide and Transmembrane Domains in Subunit 2 of @DISEASE$ Virus Hemagglutinin @CHEMICAL$, a Structured and Aqueous-Protected Connection between the Fusion Peptide and Soluble Ectodomain, and the Importance of Membrane Apposition by the Trimer-of-Hairpins Structure. false +q8nAYOXxFXBR87-5As45xs_K0uM Thus, more evidence is needed to understand the impact of maternal GDM on offspring's adiposity, @CHEMICAL$ metabolism, lipid metabolism, risk of @DISEASE$, and pubertal onset. false +HWH4BsgLEaKfxt9n1zI6nUGK0vI Thus, more evidence is needed to understand the impact of maternal @DISEASE$ on offspring's adiposity, glucose metabolism, @CHEMICAL$ metabolism, risk of fatty liver disease, and pubertal onset. false +hf1PFwBr-j1jWQ1QkFLrc74W4co Thus, more evidence is needed to understand the impact of maternal @DISEASE$ on offspring's adiposity, @CHEMICAL$ metabolism, lipid metabolism, risk of fatty liver disease, and pubertal onset. false +25ieDyds168yBLXhAIlf__3W47g Thus, more evidence is needed to understand the impact of maternal @DISEASE$ on offspring's adiposity, glucose metabolism, lipid metabolism, risk of @CHEMICAL$ liver disease, and pubertal onset. false +Bw0Gycc2qlFgysAf7CItOtaTFj4 Thus, more evidence is needed to understand the impact of maternal GDM on offspring's adiposity, glucose metabolism, @CHEMICAL$ metabolism, risk of @DISEASE$, and pubertal onset. false +bKGYmzNlGkO_QzdbikC2mSeadBs These parameters were established by evaluating histopathological changes, @DISEASE$ markers such as glutathione S-transferase placental-1 (Gstp1), Cytokeratin-19 (Ck19) and prostaglandin reductase-1 (Ptgr1); that of Cyp2e1, a DEN metabolizing @CHEMICAL$; and the expression of the proliferation marker Ki67. false +0xXtp74Yx198EZRI5TWP-Ez_wOQ These parameters were established by evaluating histopathological changes, @DISEASE$ markers such as glutathione S-transferase placental-1 (Gstp1), Cytokeratin-19 (Ck19) and @CHEMICAL$ reductase-1 (Ptgr1); that of Cyp2e1, a DEN metabolizing enzyme; and the expression of the proliferation marker Ki67. false +eUw2qjNZw-Wj2oFfqS_ynR24ufU These parameters were established by evaluating histopathological changes, @DISEASE$ markers such as @CHEMICAL$ S-transferase placental-1 (Gstp1), Cytokeratin-19 (Ck19) and prostaglandin reductase-1 (Ptgr1); that of Cyp2e1, a DEN metabolizing enzyme; and the expression of the proliferation marker Ki67. false +tk5uUPGrFV8ekuROL52yygec88g Characterization of @CHEMICAL$ Expression and Endogenous RNA Profiles in Bladder Cancer Based on The @DISEASE$ Genome Atlas (TCGA) Database. false +X2EVqBUMnvYV04QRdc_9Rrdtyds Characterization of @CHEMICAL$ Expression and Endogenous RNA Profiles in @DISEASE$ Based on The Cancer Genome Atlas (TCGA) Database. false +7AZRyRfaGi5kzpnff5z1O7wvCyY Characterization of mRNA Expression and Endogenous @CHEMICAL$ Profiles in @DISEASE$ Based on The Cancer Genome Atlas (TCGA) Database. false +e4zWt_VAGsjOMOc5nZmEiYJny2Y Characterization of mRNA Expression and Endogenous @CHEMICAL$ Profiles in Bladder Cancer Based on The @DISEASE$ Genome Atlas (TCGA) Database. false +6m2pIkvMe9JKRxSC8mTjGwatNXY Patients in @CHEMICAL$ 2 (n = 23) had either a scarred urethra or evidence of @DISEASE$ sclerosus and underwent staged repair using a buccal mucosa graft. false +y7BX7suOFL8Z1EhGsP9Eq5gsOZA To assess the long-term risk factors predicting @CHEMICAL$ cervical intraepithelial neoplasia (@DISEASE$) and time to recurrence after large loop excision of the transformation zone (LLETZ). false +FK1YKvoVKa6jkpQHcu_e97gU6LI To assess the long-term risk factors predicting @CHEMICAL$ @DISEASE$ (CIN 2-3) and time to recurrence after large loop excision of the transformation zone (LLETZ). false +8W-6juYczeSEnZ4sgPRdqMxBW5k @CHEMICAL$ T-cell lymphoproliferative @DISEASE$ (T-LPD) of gastrointestinal tract is a rare recently described disease that seldom progresses. false +8Cb63THSpiCrygxo11F1ulBN8sk @CHEMICAL$ T-cell lymphoproliferative disease (T-LPD) of gastrointestinal tract is a @DISEASE$ recently described disease that seldom progresses. false +HDqrHo-99tQaOaQ6V5an3Mw0Gt4 @CHEMICAL$ T-cell lymphoproliferative disease (T-LPD) of gastrointestinal tract is a rare recently described @DISEASE$ that seldom progresses. false +g3_tskvPCjG41CtoU2LMnMA9wNQ @CHEMICAL$ T-cell lymphoproliferative disease @DISEASE$) of gastrointestinal tract is a rare recently described disease that seldom progresses. false +LhhXBE60kMxGpsjrAeDpnHHlKh0 This provides the rationale and opportunity to include a rare tumor like @DISEASE$ in future 'basket type' trials using novel @CHEMICAL$ targeting multiple SCCs that may exhibit similar biology. treats +MHH97l5S4nCyn3rvYX1rTjwIhZI This provides the rationale and opportunity to include a rare tumor like PSCC in future 'basket type' trials using novel @CHEMICAL$ targeting multiple @DISEASE$ that may exhibit similar biology. treats +1St18uLOhzc5crQJ0vbKYj0hJtI This provides the rationale and opportunity to include a rare @DISEASE$ like PSCC in future 'basket type' trials using novel agents targeting multiple SCCs that may exhibit similar @CHEMICAL$. false +AWXSHmF9sMqW3ohfn9npC_eTMFU This provides the rationale and opportunity to include a @DISEASE$ tumor like PSCC in future 'basket type' trials using novel agents targeting multiple SCCs that may exhibit similar @CHEMICAL$. false +cixRLVupoafpI9t4LL7Vr4FNSIo Severe complications like @CHEMICAL$ detachment are @DISEASE$ but exist. false +k8lNIBwiTNttYpPxKjb7erlY638 Our aim was to review both the efficacy and problem associated with PUPS @DISEASE$- and combination therapy conducted in China and the underlying @CHEMICAL$ mechanisms. false +lCFY6P1YNfkI1bSK9TpJ5Vsg9zQ More has to be investigated about pathogenesis of the @DISEASE$ and influence of the @CHEMICAL$ balance on it. false +09XAdPjT5xvH6jsjOt3Aq_9FZ60 Diagnosis of the distinct @DISEASE$ can be identified by conventional chromosome analysis and small deletions by novel @CHEMICAL$ cytogenetic methods such as microarray comparative genome hybridization (aCGH). false +dVYsM_i32q87ukqviteWoRx6DSc Means to identify and isolate fibroblasts as well as an understanding of their @DISEASE$ features are essential to dissect their role in tumor @CHEMICAL$. false +s_8bpjmJsc5EUyiZu_YH0XaFNGo Means to identify and isolate fibroblasts as well as an understanding of their cancer-specific features are essential to dissect their role in @DISEASE$ @CHEMICAL$. false +I-bocQpcPvcZlExMCPcwPXmRbWs Here, we developed a highly efficient bioreactor to generate high titers of @CHEMICAL$ in chicken yolks using a recombinant vesicular stomatitis virus expressing @DISEASE$ capsid protein (rVSV-VP1) as an antigen. treats +zEW7N46tvDnQG-qeCZYkUrqez5I Here, we developed a highly efficient bioreactor to generate high titers of HuNoV-specific IgY in chicken yolks using a recombinant @DISEASE$ virus expressing HuNoV capsid protein (rVSV-VP1) as an @CHEMICAL$. false +61Gv2DWa9R2ujSniCKE9ilKoUqk Here, we developed a highly efficient bioreactor to generate high titers of HuNoV-specific IgY in chicken yolks using a recombinant @DISEASE$ virus expressing HuNoV capsid @CHEMICAL$ (rVSV-VP1) as an antigen. false +8lIgEEZITsyBjU4nn50jCKJ0nC0 Anopheles vectors of human @DISEASE$ in Africa and Asia are ubiquitously colonized by @CHEMICAL$ viruses, some of which are monophyletic but clearly diverged from other arthropod viruses. false +a4bwstsSRgLttsyrMaH1py-haQU However, genetic deficiency of LCN2 altered neither the development of diet-induced @DISEASE$, nor the ability of @CHEMICAL$ to promote weight loss and improve obesity-associated dyshomeostasis. treats +ZIDNVyZfK7YAV5AaBofll60yLCw Over the last few decades, several delayed-start trials have suggested that early introduction of @CHEMICAL$ replacement therapy can improve the prognosis of @DISEASE$ (PD). treats +fOLPoUEa6R9lDcPUvayH40TDV94 In the present study, we demonstrate that a single pulmonary exposure to @CHEMICAL$ dramatically enhances angiogenesis and the invasiveness of orthotopically implanted @DISEASE$, leading to metastasis and rapid colonization of the lungs and other organs. false +jY25X3fwp0d0cNWtqwUa68AEHQ4 Retinal Complications in @DISEASE$ Patients Treated with @CHEMICAL$. treats +ibY1E1gznAadYXtxpWKF9CwxHPw @CHEMICAL$ combined with dexamethasone can achieve excellent survival efficacy not only in M0 castration-resistant prostate cancer patients, but also in M1 castration-resistant @DISEASE$ patients. treats +zN9jTg20-98Pn8_x3_6-QR7MvzQ Docetaxel-based chemotherapy combined with @CHEMICAL$ can achieve excellent survival efficacy not only in M0 castration-resistant @DISEASE$ patients, but also in M1 castration-resistant prostate cancer patients. treats +YPbq7t5Nn_cOUnQJ34UxgV0bg5k Docetaxel-based chemotherapy combined with @CHEMICAL$ can achieve excellent survival efficacy not only in M0 castration-resistant prostate cancer patients, but also in M1 castration-resistant @DISEASE$ patients. treats +0IW8DdbgrvIK9IcXYG2BhlqkDaM @CHEMICAL$ combined with dexamethasone can achieve excellent survival efficacy not only in M0 castration-resistant @DISEASE$ patients, but also in M1 castration-resistant prostate cancer patients. treats +UHqHDBDD6mFDFXwDMlbcp4lTIfc A high index of suspicion for the presence of a pathological @CHEMICAL$ in children older than 4 years and children with recurrent @DISEASE$ is necessary in patients presenting with intussusception. false +gc73wTWn6shzqGrPxlGoflLniH4 A high index of suspicion for the presence of a pathological @CHEMICAL$ in children older than 4 years and children with recurrent intussusception is necessary in patients presenting with @DISEASE$. false +rj5AY1IHtgJACXTnvXSTK2Cw-eM However, a main side effect is chemotherapy-induced @DISEASE$ (CIPN), which may @CHEMICAL$ to changes in chemotherapeutic treatment. false +XhiUz0xh7XOrvRu-rqErRDqvUmU This paper aimed to identify new candidate @CHEMICAL$ in blood for early diagnosis of @DISEASE$ false +C83I1qLXOjSRlSoOmrkQHUt4Ins This paper aimed to identify new candidate @CHEMICAL$ in @DISEASE$ for early diagnosis of CRC. false +6Abhp6opZdTZR2Yz3xBkxv3aunQ The observed improvements in CV and renal outcomes with SGLT-2is in CVOTs suggest a class effect in this patient population and have influenced treatment guidelines for the way add-on therapy to @CHEMICAL$ is initiated in patients with @DISEASE$ and high CV risk. treats +pdqxUQ1kwFDnYRQzMCE0onts_UI The observed improvements in CV and renal outcomes with @CHEMICAL$ in CVOTs suggest a class effect in this patient population and have influenced treatment guidelines for the way @DISEASE$ therapy to metformin is initiated in patients with T2D and high CV risk. false +uZ0zf0l_79Kc3hRJVVnL9FlbILQ Conclusion: PcG associated @CHEMICAL$ RYBP displays a reduced expression in @DISEASE$ tissues, which is related to poor prognosis of HCC patients. false +x9hl_l95_ar9hh7qEkzNwusgesE Conclusion: PcG associated @CHEMICAL$ RYBP displays a reduced expression in HCC tissues, which is related to poor prognosis of @DISEASE$ patients. false +V8O7hd0M7k2_8Gbd2fbVzY4w1Rs Combining clinical data with @CHEMICAL$ measurements is currently the most likely path toward improved detection and prediction of outcome in neonatal @DISEASE$ false +iblZo3jL341iJVjNgCEc4R9u7nQ The combination of tantalum augments that provide strong structural support and @CHEMICAL$ allograft is successful in the mid-term in single-stage revisions for @DISEASE$. treats +JTFCVF2oDB8jbgBdY10FIgzdUA4 Coronary artery bypass grafting (CABG) surgery continues to be the @CHEMICAL$ standard for treating the patients with @DISEASE$. false +q9YgFH4HTqTi_G6mlx9Yi141bhk Fifteen regions of interest (ROI) within the hypertrophic @DISEASE$ of 5 patients were randomly allocated to EST, @CHEMICAL$ injection, or no treatment. treats +q-P4U2XGYNpwHI5t7dpQSgfg5jA In the present study, we fabricated a dual-mode cardiac troponin I (cTnI) biosensor comprised of multi-functional DNA (MF-DNA) on Au @CHEMICAL$ (AuNC) using an electrochemical method (EC) and a @DISEASE$ surface plasmon resonance (LSPR) method. false +LlPbHLLq2B964F82LH77fBZQch8 In the present study, we fabricated a dual-mode cardiac troponin I (cTnI) biosensor comprised of multi-functional DNA (@CHEMICAL$) on Au nanocrystal (AuNC) using an electrochemical method (EC) and a @DISEASE$ surface plasmon resonance (LSPR) method. false +58ItbEx9B9JP5MNNuAgFkBj8IpE In the present study, we fabricated a dual-mode cardiac troponin I (cTnI) biosensor comprised of multi-functional @CHEMICAL$ (MF-DNA) on Au nanocrystal (AuNC) using an electrochemical method (EC) and a @DISEASE$ surface plasmon resonance (LSPR) method. false +29Lpj1hlzXZuVhco1KTU9taIA_Q @CHEMICAL$ reversed @DISEASE$ through IKKε inhibition of hepatic stellate cell. treats +w0B0dLf1Suln8XfqyO3BRtjMn7c @DISEASE$ Synthesis of Unsaturated @CHEMICAL$ Bioelastomer with Controllable Material Curing for Microscale Designs. false +6Fl_-YvkreaPXA4LmuVS8xqLJ8I @CHEMICAL$ nets (ITNs) are a widely used tool that has been proven to be effective in the prevention and control of malaria in @DISEASE$ endemic countries. false +QfeB2VdUnjXE8fqkg4l_fMSkH4I @CHEMICAL$ nets (ITNs) are a widely used tool that has been proven to be effective in the prevention and control of @DISEASE$ in malaria endemic countries. false +LkmSL6gLhEl6AqYvP062C5svzL0 The @CHEMICAL$ polymorphism (SNP) markers linked to the quantitative trait loci (QTLs) for tan spot and SNB resistance along with LCs harboring multiple @DISEASE$ resistance could be useful for future wheat breeding. false +c0-ndEvkvAlmejxZqX4IcB2k6vI The feasibility of developing @CHEMICAL$ from peripheral blood mononuclear cell RNAseq data in children with @DISEASE$ using machine learning approaches. false +5wujhI7QKFuSnCDk957DVF6Nsss The feasibility of developing @CHEMICAL$ from peripheral @DISEASE$ mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches. false +s3zw-XFG5pl8QB0oN-hsTGoDKXo Using data from the Human Connectome Project, this study concurrently investigated neurocognitive performance, neural activation during a working memory task, and cortical brain morphometry in relation to @DISEASE$ in a @CHEMICAL$ of young adults, 22-35 years old. false +LNm5TpVsczJUbY2xG9I3nXk_T1g @DISEASE$ of the femoral head (ANFH) is a severe complication after high-dose @CHEMICAL$ (GC) administration. false +I5uuRuV430yQ_WAD8hzdc9Uba3Q We reported a case of inappropriate implantable cardioverter defibrillator shocks, due to atrial far-field on the tip-to-ring channel of the fast electrical activity during @DISEASE$, caused by @CHEMICAL$ dislocation in the right ventricle outflow tract. false +scq-NuN0V2cgpO3LAc2af917mWM Kininogen-1 as a protein @CHEMICAL$ for @DISEASE$ through mass spectrometry and genetic association analyses. false +pmIoXmZGlF9XPgqs9zDJO8X6KeA Kininogen-1 as a @CHEMICAL$ biomarker for @DISEASE$ through mass spectrometry and genetic association analyses. false +Fsut8fu2s38VvZBGycY_pYvcaQo @CHEMICAL$ can significantly improve the degree of neurological impairment during @DISEASE$, functional movement, and living quality with a definite effect and high safety. treats +V8mHSG3yjsOtG1xXGK3IHjvrIn8 In this study, it has been aimed to compare serum VEGF levels between a healthy control @CHEMICAL$ and in ADHD patients to help determine the association between serum VEGF levels and @DISEASE$ false +zRaUP0B4H_sJi4JPGflFMt17-TA In this study, it has been aimed to compare serum VEGF levels between a healthy control @CHEMICAL$ and in @DISEASE$ patients to help determine the association between serum VEGF levels and ADHD. false +W9uCCrOLpTN024U3gBSrLlXRsXA A single-dose @DISEASE$ treatment should be sufficient for women delivering within <48 hours of antenatal @CHEMICAL$ treatment. false +Lfa2HkTDQzPC6bRxBf_Fw8wevbs Furthermore, SOX9 has also been shown to @CHEMICAL$ @DISEASE$ by the reactivation of Wnt/β-catenin signaling. false +Wou2q-9rYnKkqw9GtCNdreTt15s Feasibility and acceptability of integrated psychological therapy versus treatment as usual for people with @DISEASE$ and co-morbid @CHEMICAL$ use: A single blind randomised controlled trial. false +KvhOaSqPGF_VVpETpZA0BL82fvs These conclusions are consistent with the lack of epidemiological evidence that drywall work resulted in an increased incidence of @CHEMICAL$ @DISEASE$ in the drywall trades. false +BcyG0mgb3IHatp2U47Hq0DQktOA @DISEASE$ upregulated the expression of @CHEMICAL$ cytokines such as TNF-α, IL-1, IL-6, chemokines and downregulated the expression of two receptors involved in phagocytosis (CD 36 and Class B scavenger type I receptors). false +DyeXR2nd9IBoI70DrhcNKO7NSKs This study provides insights into @CHEMICAL$ biology of renal sarcoma, a @DISEASE$ aggressive subtype of kidney tumors. false +bTFehpiOKp6xkckXD_rEbxkCY0c This study provides insights into @CHEMICAL$ biology of @DISEASE$, a rare aggressive subtype of kidney tumors. false +2p_Oo4EIQl0MKavZ9fVOOmg4RvM This study provides insights into molecular @CHEMICAL$ of @DISEASE$, a rare aggressive subtype of kidney tumors. false +ucmU_tJcKYzSM8jPhbvXjOMEpW0 This study provides insights into molecular @CHEMICAL$ of renal sarcoma, a @DISEASE$ aggressive subtype of kidney tumors. false +MtJ2UqCARaoyKOacUNO1a1qPNbc @DISEASE$ acute cerebellitis and obstructive hydrocephalus that responded well to conservative management with no @CHEMICAL$ neurological deficit. false +w3KxbCqXsYOrmuc35kcZ2mU21ME infection-associated acute cerebellitis and @DISEASE$ that responded well to conservative management with no @CHEMICAL$ neurological deficit. false +L0zeS2TAjVRe_aqNK0-lWWvQMPY @CHEMICAL$ have potential in controlling @DISEASE$ by modulating macrophage cholesterol metabolism and inflammation via miRNA. treats +fTTKYoi6M6hszrq2hiuUPrG1-HM To report a case of successful intraocular pressure (IOP) reduction after a 360-degree gonioscopy-assisted transluminal trabeculotomy (GATT) using the iTrack catheter in a patient with @CHEMICAL$ glaucoma as a result of treatment of @DISEASE$ (VKC). false +nBtTn4kYd3cfBMveenURRIBqGzI Further studies with more samples size to study the importance of this bacterium and its @CHEMICAL$ in the investigation of @DISEASE$ patients survey is recommended. false +23ff7CZbdS33f1Gl5ZxuPOcwd7c The evidence gathered in this paper, as well as other laboratories, support the importance of MCT6 in regulating a variety of @CHEMICAL$ and lipid metabolic pathways, which may indicate its significance in metabolic @DISEASE$. false +eRpdNjUd0OPx0j2dOzc2JkvD20Q The evidence gathered in this paper, as well as other laboratories, support the importance of MCT6 in regulating a variety of glucose and @CHEMICAL$ metabolic pathways, which may indicate its significance in metabolic @DISEASE$. false +2w3hjpem2m1wvee23T_9HDCdpok On the other hand, it could also help to promote viral evasion of certain viruses by direct and indirect mechanisms, with the presence of the microbiota increasing @DISEASE$ and viruses using LPS and surface @CHEMICAL$ from bacteria to trigger immunosuppressive pathways. false +vGRZQELfglkZ5WsOKkf-bs8p7QI Caudal fin regeneration experiments were conducted using various concentrations of a GSK3β @CHEMICAL$, examining duration and concentration @DISEASE$ on regenerative outgrowth. false +v0MSkgH4IrLWqNZ-oYEWvSzK6lc Afterwards, we conducted a physical examination and obtained @DISEASE$ and urine samples to screen for blood pressure, estimated glomerular filtration rate, and the @CHEMICAL$ profile. false +AMKwAZpOEmEF5iimVvI98QHmdSE Afterwards, we conducted a physical examination and obtained blood and urine samples to screen for @DISEASE$ pressure, estimated glomerular filtration rate, and the @CHEMICAL$ profile. false +NZXPg4cd9v2XbMysd_tFbRNScUk In order to functionally analyze @CHEMICAL$ of P. falciparum HP1 (PfHP1), we first mapped PfHP1 phosphorylation sites by liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of native PfHP1, which identified motifs from which potential kinases could be predicted; in particular, several phosphorylated residues were embedded in motifs @DISEASE$ in acidic residues, reminiscent of targets for P. falciparum casein kinase 2 (PfCK2). false +lfKWKFYshI6NNs0pjQ6qch4hdGY In order to functionally analyze phosphorylation of P. falciparum HP1 (PfHP1), we first mapped PfHP1 @CHEMICAL$ sites by liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of native PfHP1, which identified motifs from which potential kinases could be predicted; in particular, several phosphorylated residues were embedded in motifs @DISEASE$ in acidic residues, reminiscent of targets for P. falciparum casein kinase 2 (PfCK2). false +z2oIPO5vqeFRL8ytZcQ0c2fcuvs In order to functionally analyze phosphorylation of P. falciparum HP1 (PfHP1), we first mapped PfHP1 phosphorylation sites by liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of native PfHP1, which identified motifs from which potential kinases could be predicted; in particular, several phosphorylated @CHEMICAL$ were embedded in motifs @DISEASE$ in acidic residues, reminiscent of targets for P. falciparum casein kinase 2 (PfCK2). false +Yjg7muaVNhIi12uIPnKkginviVI In order to functionally analyze phosphorylation of P. falciparum HP1 (PfHP1), we first mapped PfHP1 phosphorylation sites by liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of native PfHP1, which identified motifs from which potential kinases could be predicted; in particular, several phosphorylated residues were embedded in motifs @DISEASE$ in acidic @CHEMICAL$, reminiscent of targets for P. falciparum casein kinase 2 (PfCK2). false +tYV6XBiE7wObP7WdS0IxKpCOzZ0 In order to functionally analyze phosphorylation of P. falciparum HP1 (PfHP1), we first mapped PfHP1 phosphorylation sites by liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of native PfHP1, which identified motifs from which potential kinases could be predicted; in particular, several @CHEMICAL$ residues were embedded in motifs @DISEASE$ in acidic residues, reminiscent of targets for P. falciparum casein kinase 2 (PfCK2). false +TioIoYsZdXDVsWf7L2mBNGmWxUU Percutaneous transluminal angioplasty of the involved renal arteries has been reported; however, few studies have reported the use of @CHEMICAL$ coated balloon angioplasty in the treatment of @DISEASE$. treats +jPhCuRu_DkbqqZNwbnp6Pq1-1Tk Subsequent treatment of adult @DISEASE$ is typically with @CHEMICAL$ (TPO-RAs; romiplostim or eltrombopag), rituximab, or splenectomy. treats +mfY-g-90kMboyl7DuzRlaguunro Subsequent treatment of adult @DISEASE$ is typically with thrombopoietin receptor agonists (TPO-RAs; @CHEMICAL$ or eltrombopag), rituximab, or splenectomy. treats +pMGo8qK7gEehwsb5qYC5q6PfOMs Subsequent treatment of adult @DISEASE$ is typically with thrombopoietin receptor agonists (TPO-RAs; romiplostim or @CHEMICAL$), rituximab, or splenectomy. treats +uN0YNmC0Ql95Jhe7QsYqlHYHyko Subsequent treatment of adult @DISEASE$ is typically with thrombopoietin receptor agonists (TPO-RAs; romiplostim or eltrombopag), @CHEMICAL$, or splenectomy. treats +hs-e7QbLbl8UmDzWg_o3ehzWROo Position-dependent correlation between TBX22 exon 5 @CHEMICAL$ and palatal shelf fusion in the development of @DISEASE$. false +rXvnSBIZbPiDYCN1-5UiQzerKaw [Effect of dental implants with conditioned surface based on @CHEMICAL$ in patients with @DISEASE$. false +I88_Gu6Q8PiLEQg4rrTdl7gDW3E @CHEMICAL$ did not decrease the surface tension, whereas @DISEASE$ showed a surface-active property and critical micelle concentration. false +ifvX0T3QM0s0daN3a5nvKt-gBno The co-occurrence of chronic pain and @CHEMICAL$ use @DISEASE$ (AUDs) involves complex interactions between genetic and neurophysiological aspects, and the research has reported mixed findings when they both co-occur. false +0x5gOd0a75dXXhL3KUsEIH839tc Roles, Actions, and Therapeutic Potential of @CHEMICAL$ for the Treatment of @DISEASE$ in Cystic Fibrosis. treats +6IClerDb8yioxuFplciinC2BePY Roles, Actions, and Therapeutic Potential of @CHEMICAL$ for the Treatment of Inflammation in @DISEASE$. treats +b3-drxkcT5PNctL3F3e3IjyrkpY In fact, exogenous @CHEMICAL$ given under @DISEASE$ conditions did robustly stimulate insulin secretion and lower glycemia. false +pOohFIZbvHckuGU4lZTuBJdVwY4 To assess FDG uptake in @DISEASE$, we retrospectively analyzed a large, single-center database and determined the expression of @CHEMICAL$ type 1 (GLUT-1). false +l1wLrXQH7j6LSlyETXyKuUcFYBo In regard to other variables that may affect response to therapy in TTP patients, we found no association between obesity and @CHEMICAL$; however, @DISEASE$ rate was higher among ADAMTS13 deficient patients compared to overall obesity rate of our regional general population. false +PLdBaxf87Qw8JDfrwcChsbTDSiE In regard to other variables that may affect response to therapy in @CHEMICAL$ patients, we found no association between obesity and NoP; however, obesity rate was higher among ADAMTS13 deficient patients compared to overall @DISEASE$ rate of our regional general population. false +PZYdRpje37fkm7JbGJ3RXXyWbpg In regard to other variables that may affect response to therapy in TTP patients, we found no association between obesity and @CHEMICAL$; however, obesity rate was higher among ADAMTS13 deficient patients compared to overall @DISEASE$ rate of our regional general population. false +rvWPFMCT8Gp6GVmaz0BzBijCIh4 In regard to other variables that may affect response to therapy in TTP patients, we found no association between @DISEASE$ and @CHEMICAL$; however, obesity rate was higher among ADAMTS13 deficient patients compared to overall obesity rate of our regional general population. false +WMHo5NgPdCZf8hGTT3YoaIq_tQ0 In regard to other variables that may affect response to therapy in @CHEMICAL$ patients, we found no association between @DISEASE$ and NoP; however, obesity rate was higher among ADAMTS13 deficient patients compared to overall obesity rate of our regional general population. false +6rP6tSaC8WS166r8ra35c8NDNIo In regard to other variables that may affect response to therapy in @DISEASE$ patients, we found no association between obesity and @CHEMICAL$; however, obesity rate was higher among ADAMTS13 deficient patients compared to overall obesity rate of our regional general population. false +qwd_5IqOIue6zj9ZnZnu4uAk3iQ In regard to other variables that may affect response to therapy in @CHEMICAL$ patients, we found no association between obesity and NoP; however, @DISEASE$ rate was higher among ADAMTS13 deficient patients compared to overall obesity rate of our regional general population. false +8R9YyIrF_j5rj681AVm8iDepm88 Stimulus-responsive @CHEMICAL$ delivery nanosystems (DDSs) are of great significance in improving @DISEASE$ therapy for intelligent control over drug release. treats +srjoHbPzJMKsnA8x7qvj413R8cg Stimulus-responsive drug delivery nanosystems (DDSs) are of great significance in improving @DISEASE$ therapy for intelligent control over @CHEMICAL$ release. treats +ZGW7y8coz3iLzJ8OsdWzBVDrxxc Relative Efficacy of Spironolactone, Eplerenone, and @CHEMICAL$ in patients with @DISEASE$ (RESEARCH): a systematic review and network meta-analysis of randomized controlled trials. treats +ZBa_wNfTH5kBSbWaNGjCf-YxXm0 Relative Efficacy of @CHEMICAL$, Eplerenone, and cAnRenone in patients with @DISEASE$ (RESEARCH): a systematic review and network meta-analysis of randomized controlled trials. treats +rrg2EFmu-ZTVxx9XZ5EhS4sPU5Y Relative Efficacy of Spironolactone, @CHEMICAL$, and cAnRenone in patients with @DISEASE$ (RESEARCH): a systematic review and network meta-analysis of randomized controlled trials. treats +tum5bPJ3D3NTGdYpxS8loGq-ir8 Metastasis Associated @CHEMICAL$ (MTA1) is a chromatin @DISEASE$ and its expression is significantly associated with prognosis of many cancers. false +rwksZdTZsMfrQgySo_q0oON-QY4 MATERIAL AND METHODS Human @DISEASE$ HeLa cells were treated with different concentrations of @CHEMICAL$ for 3 days, with or without subsequent extended culture in drug-free medium for 6 days. treats +3B5gwkZ4KZ8KCQ6wRZH_co2g3KY Reverse transcription‑quantitative polymerase chain reaction, immunohistochemistry and western blot analysis were used to detect the mRNA and @CHEMICAL$ expression levels of CSE in human @DISEASE$ tissues and cells. false +5_A_Xfst69cxBszUpL68F58LJGE Reverse transcription‑quantitative polymerase chain reaction, immunohistochemistry and western blot analysis were used to detect the @CHEMICAL$ and protein expression levels of CSE in human @DISEASE$ tissues and cells. false +gyLS9fM8dhz3Yf2RuRmgzWT2zXI Our @CHEMICAL$ interaction network indicates that the @DISEASE$ DEGs, Cyclin B/cyclin-dependent kinase 1 (CDK1), CCND1, ESR1 and Aurora kinase A (AURKA), are the top four hub genes. false +05JGBpjmsE1be9E7pvnCy7XD7V4 @DISEASE$ DISEASES AND NON-CODING @CHEMICAL$. false +1cthRBwR7Q8apvkczXI2ukL1JAA [ALLERGIC @DISEASE$ AND NON-CODING @CHEMICAL$. false +3bXSPFtpQtVbQieD88ztZJmLDqA @DISEASE$ derivatives show high retention coefficient in all cases, whereas in the case of @CHEMICAL$ micellar retention might be significantly reduced and is very limited in the case of liposomes. false +1NYygaQeRnV_mqGd0o6604-_I4A The UV-visible study reveals severe reduction of the pigments such as @CHEMICAL$ (Chl), carotenoids and xanthophylls in the tea leaf due to @DISEASE$. false +wButCF2U4RdkhKKCZM7gsL4YRhc The UV-visible study reveals severe reduction of the pigments such as chlorophyll (Chl), @CHEMICAL$ and xanthophylls in the tea leaf due to @DISEASE$. false +NBME3OoxKLDcO02d9pg8U-z_FSw The UV-visible study reveals severe reduction of the pigments such as chlorophyll (Chl), carotenoids and @CHEMICAL$ in the tea leaf due to @DISEASE$. false +dsBVGHUmoe0MhJU4fyxnI9cmiJ4 The results of this study might facilitate the preparation or late-stage modification of complex flavonoids as @DISEASE$ @CHEMICAL$ candidates. false +IMl4ww_Cpb5-uC-ZmKndpssi_6M The results of this study might facilitate the preparation or late-stage modification of complex @CHEMICAL$ as @DISEASE$ drug candidates. false +QfDk6E38fn8uSkMstA7PbAaHbHI Although @CHEMICAL$ are known to have multiple binding sites, we demonstrated that model 2MXU possesses one site which is druggable and can bind with common scaffolds currently being used in the imaging of @DISEASE$ fibrils. false +Vv2Devvm1Pz-_gLTp3qWk23GGMQ Although amyloid fibrils are known to have multiple binding sites, we demonstrated that model 2MXU possesses one site which is druggable and can bind with @DISEASE$ scaffolds currently being used in the imaging of @CHEMICAL$. false +hCWOKAeKb6-BclbqZnHtEbxAsUw Although @CHEMICAL$ are known to have multiple binding sites, we demonstrated that model 2MXU possesses one site which is druggable and can bind with @DISEASE$ scaffolds currently being used in the imaging of amyloid fibrils. false +l-_quiljUW_-qDwy7i5TQdqX000 Although @DISEASE$ fibrils are known to have multiple binding sites, we demonstrated that model 2MXU possesses one site which is druggable and can bind with common scaffolds currently being used in the imaging of @CHEMICAL$. false +ISilmQJGfF-l_GzzAZtReRPh-aY Adding @DISEASE$ @CHEMICAL$ (CB: calcium chloride [7 mM] and β-glycerophosphate [7 mM]) increased the CP of control sera to approximate that of CKD sera. false +5lSvn0cVqwZnZqmL3afHnyhOQiQ Adding calcification @CHEMICAL$ (CB: calcium chloride [7 mM] and β-glycerophosphate [7 mM]) increased the CP of control sera to approximate that of @DISEASE$ sera. false +aBCi-_xKfc5r_d5L1Db_pTUpZn4 Adding @DISEASE$ buffer (CB: @CHEMICAL$ [7 mM] and β-glycerophosphate [7 mM]) increased the CP of control sera to approximate that of CKD sera. false +6PB3L4VyUloIbvyDRzxx479GIhc Adding calcification buffer (CB: @CHEMICAL$ [7 mM] and β-glycerophosphate [7 mM]) increased the CP of control sera to approximate that of @DISEASE$ sera. false +A-0XNRoK0IhS9ut6tz3rWmE3LfQ We describe the case of an isolated @CHEMICAL$ metastasis from @DISEASE$ occurring 16 years after nephrectomy. false +_K2ZfQqEg-Fz7wuXuOrmfolYths @CHEMICAL$ may inhibit the tubulointerstitial Wnt/β-catenin signalling pathway in @DISEASE$ and provide renal protection by alleviatinge renal tubulointerstitial transdifferentiation and fibrosis. treats +qbGQ76jTk1Lhxa0DB7ycUtJDU_w The coupled domain motions and interactions between the enzyme and the @CHEMICAL$ hybrid provide new insights into the mechanism of genome editing by @DISEASE$. false +9BP7Ns1N5H5IEDjKHVgyBohSa_k The coupled domain motions and interactions between the @CHEMICAL$ and the RNA-DNA hybrid provide new insights into the mechanism of genome editing by @DISEASE$. false +ctmMmVxxtsHzQ6NjuwPHh1JNhmg To assess the effect of an SPB with pharmacist intervention on medication adherence in adult patients with @DISEASE$ (MM) new to @CHEMICAL$ therapy (≤ 5 cycle dispenses). treats +EX0zIoPsf6qc5X5_y8G73d1eiUk After clinical examinations, including heart rates (HRs), capillary refill times (CRTs), abdominal sounds, rectal palpations, and nasogastric (NG) reflux assessments in both healthy and diseased horses, @DISEASE$ samples were collected and hematologic parameters, coagulation indices such as the @CHEMICAL$ time (PT), activated partial thromboplastin time (APTT), plasma d-dimer (PDD), platelet count, fibrinogen, and hepatorenal biomarkers were measured. false +Ybh5J3PT-fFBUg7vvfj--pO0RtA After clinical examinations, including heart rates (HRs), capillary refill times (CRTs), abdominal sounds, rectal palpations, and nasogastric (NG) reflux assessments in both healthy and diseased horses, @DISEASE$ samples were collected and hematologic parameters, coagulation indices such as the prothrombin time (PT), activated partial thromboplastin time (APTT), plasma d-dimer (PDD), platelet count, fibrinogen, and hepatorenal @CHEMICAL$ were measured. false +A6KqP7pN8NfTckTdpGt3NCV9AEc After clinical examinations, including heart rates (HRs), capillary refill times (CRTs), abdominal sounds, rectal palpations, and nasogastric (NG) reflux assessments in both healthy and diseased horses, blood samples were collected and hematologic parameters, coagulation indices such as the @CHEMICAL$ time (PT), activated partial thromboplastin time (APTT), plasma d-dimer (@DISEASE$, platelet count, fibrinogen, and hepatorenal biomarkers were measured. false +ppH9RmAeg-TFfXwoPGw6-NCdclk After clinical examinations, including heart rates (HRs), capillary refill times (CRTs), abdominal sounds, rectal palpations, and nasogastric (NG) reflux assessments in both healthy and diseased horses, blood samples were collected and hematologic parameters, coagulation indices such as the prothrombin time (PT), activated partial thromboplastin time (APTT), plasma d-dimer (@DISEASE$, platelet count, fibrinogen, and hepatorenal @CHEMICAL$ were measured. false +fcFd1Db4IYI94KQKevPGgTSm9QQ After clinical examinations, including heart rates (HRs), capillary refill times (CRTs), abdominal sounds, rectal palpations, and nasogastric (NG) reflux assessments in both healthy and diseased horses, @DISEASE$ samples were collected and hematologic parameters, coagulation indices such as the prothrombin time (PT), activated partial @CHEMICAL$ time (APTT), plasma d-dimer (PDD), platelet count, fibrinogen, and hepatorenal biomarkers were measured. false +veHs_4nlSmCzeVA9psMfesRr-Mo After clinical examinations, including heart rates (HRs), capillary refill times (CRTs), abdominal sounds, rectal palpations, and nasogastric (NG) reflux assessments in both healthy and diseased horses, blood samples were collected and hematologic parameters, coagulation indices such as the prothrombin time (PT), activated partial @CHEMICAL$ time (APTT), plasma d-dimer (@DISEASE$, platelet count, fibrinogen, and hepatorenal biomarkers were measured. false +FtbzIoG7hsso97ZrdudSM2X_Qok In conclusion, @CHEMICAL$ was positively associated with an increase in uACR in elderly Korean @DISEASE$ and women but was not associated with a decrease in eGFR. false +Dh6zH2XBLVVVGPT9gpmm_LHz-XA The presence of minerals was also analyzed indirectly with @DISEASE$, as the @CHEMICAL$ fibril pattern was less evident in the mineralized tissue. false +s2UFTToYEkBpmqjCeouXsk0V-yY Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood glucose, and @CHEMICAL$ via multivariate Cox regression, abnormal @DISEASE$ using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +IUMCqg8ym8mBu8wQWFOQMcPLabM Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood @CHEMICAL$, and cholesterol via multivariate Cox regression, abnormal @DISEASE$ using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +mR7GOJBdXz3PneWPXYVVB4sKffo Following adjustment for age, body mass index, smoking, exercise, @CHEMICAL$ consumption, fasting blood glucose, and cholesterol via multivariate Cox regression, abnormal @DISEASE$ using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +WnxfiL2lso9ACNsPJRlj1bVecg8 Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood glucose, and @CHEMICAL$ via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, @DISEASE$, and decompensated liver events. false +NUj6UhQflqONG8-f2BJ32yMq2BI Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting @DISEASE$ glucose, and @CHEMICAL$ via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +bMk9LiTOSPuCmAUOZD4BejOU_uU Following adjustment for age, body mass index, smoking, exercise, @CHEMICAL$ consumption, fasting @DISEASE$ glucose, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +NCXHkQZPMsiPFQmq1q8DfnziAkE Following adjustment for age, body mass index, smoking, exercise, @CHEMICAL$ consumption, fasting blood glucose, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low @DISEASE$ cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +R0z0WGMbluVisPYE0J4YCrlvTcY Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood glucose, and @CHEMICAL$ via multivariate Cox regression, abnormal ALT using new 'low @DISEASE$ cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +Z5BYnXDjm5cPAJLRmE-aHjGA7JI Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood @CHEMICAL$, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low @DISEASE$ cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +gT6n2Kuvd0O49EOe_6t7WYt6X5k Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting blood @CHEMICAL$, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, @DISEASE$, and decompensated liver events. false +41v294tJtVkAPN1B7XhS5cDopas Following adjustment for age, body mass index, smoking, exercise, alcohol consumption, fasting @DISEASE$ @CHEMICAL$, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, HCC, and decompensated liver events. false +_6krH8Sx3GGo_TaodUNmqkWJQbQ Following adjustment for age, body mass index, smoking, exercise, @CHEMICAL$ consumption, fasting blood glucose, and cholesterol via multivariate Cox regression, abnormal ALT using new 'low ALT cut off' was a significant independent predictor for liver-related mortality, @DISEASE$, and decompensated liver events. false +P2TNivjZfqGZe7Q666uDbnkSHl8 Different @CHEMICAL$ survival of first line tumour necrosis factor inhibitors in radiographic and non-radiographic @DISEASE$: a multicentre retrospective survey. treats +CLgLmA9RjbiXYBavFydo7A-a37s Different drug survival of first line @CHEMICAL$ in radiographic and non-radiographic @DISEASE$: a multicentre retrospective survey. treats +4uNXO6tHUuowp3T4jcic4Sr_9fU The monitoring of unfractionated @CHEMICAL$ (UFH) reversal with protamine plays a crucial role for bleeding management after cardio-pulmonary bypass (CPB) in @DISEASE$ cardiac surgery. false +-YHihjXHfMKNuveEKFKjHEw4mPw Intravitreal sustained-release @CHEMICAL$ implant for the treatment of persistent @DISEASE$ in ocular syphilis. treats +zmC4nFa9vISdZQi4MhZGMUgbx5U The experiments indicate that bioluminescence affiprobe can serve as a reliable and user-friendly @CHEMICAL$ for the detection of human HER2 positive prostate cells as well as ex vivo based detection of HER2-positive human @DISEASE$ specimens using luminometeric-based assays. false +wYxwddP4qiFEjzReJUfcVxLZPcc In @DISEASE$ (ARVC), abnormal electroanatomic mapping (EAM) areas are proportional to extent of T-wave inversion on @CHEMICAL$ ECG. false +hmUn-1MDJSQg1OP4rvsWshsREz0 In arrhythmogenic right ventricular cardiomyopathy (ARVC), abnormal electroanatomic mapping (EAM) areas are proportional to extent of T-wave @DISEASE$ on @CHEMICAL$ ECG. false +ClFkAzNWqA9EQtTayopjQdW5ixE In arrhythmogenic right ventricular cardiomyopathy (@DISEASE$, abnormal electroanatomic mapping (EAM) areas are proportional to extent of T-wave inversion on @CHEMICAL$ ECG. false +WC4KaYqaH1oGQ3YnrjuT8BS-5y8 Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of @CHEMICAL$ stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased vitamin D3, GSH (reduced glutathione), and the serum urea nitrogen/creatinine index. false +VjOr6k7EiU6X7B-JIT-6Sb5kwv4 Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I @CHEMICAL$, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased vitamin D3, GSH (reduced glutathione), and the serum urea nitrogen/creatinine index. false +wiuM7nkH_YluWY1ADLdCW7RxiVA Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive @CHEMICAL$, marker of inflammation); it decreased vitamin D3, GSH (reduced glutathione), and the serum urea nitrogen/creatinine index. false +-B2BKenb6m9L4hr2v9zvIBBIb1Q Cd intake inhibited body weight gain and lowered @CHEMICAL$ concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased vitamin D3, GSH (reduced glutathione), and the serum urea nitrogen/creatinine index. false +7zUv9L0V3tRXhTIi3qKbY0z1CA0 Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased vitamin D3, GSH (reduced glutathione), and the serum @CHEMICAL$ nitrogen/creatinine index. false +H_83pEY6_09ixFCjTTPQX3gpfAs Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased vitamin D3, GSH (reduced glutathione), and the serum urea @CHEMICAL$ index. false +iRXyD-0SQTtAA4WW4SiImEd4VFg Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased vitamin D3, GSH (reduced @CHEMICAL$), and the serum urea nitrogen/creatinine index. false +pF10FVuxL3NPrq_R9PGmO-i34oo Cd intake inhibited body weight gain and lowered hemoglobin concentration, whereas it increased the activities of liver enzymes, as well as the level of oxidative stress, @DISEASE$ (C-terminal telopeptide of type I collagen, bone resorption marker), and CRP (C-reactive protein, marker of inflammation); it decreased @CHEMICAL$, GSH (reduced glutathione), and the serum urea nitrogen/creatinine index. false +FWpp4JXHkikmDC5CgsGF9MTfWIs Synergistic catalysis of Pd @CHEMICAL$ with both Lewis and Bronsted acid sites encapsulated within a sulfonated metal-organic frameworks toward @DISEASE$ tandem reactions. false +GWo5hba69p1rgf4fA7V9euclgKI Synergistic catalysis of Pd nanoparticles with both Lewis and Bronsted acid sites encapsulated within a sulfonated @CHEMICAL$ frameworks toward @DISEASE$ tandem reactions. false +I4AAn5DHvIJ9YvdfO4lCn5b76R4 Synergistic catalysis of Pd nanoparticles with both Lewis and @CHEMICAL$ sites encapsulated within a sulfonated metal-organic frameworks toward @DISEASE$ tandem reactions. false +i1lCgT9miRSXX-91kSRWTihRyK0 Synergistic catalysis of Pd nanoparticles with both Lewis and Bronsted acid sites encapsulated within a @CHEMICAL$ metal-organic frameworks toward @DISEASE$ tandem reactions. false +mldxegQwqyR77DjvXt6_PDIA3YA @CHEMICAL$ antiplatelet regimens in patients with atherosclerotic @DISEASE$ meta-analysis of randomized clinical trials. false +c_NKMhlwYuhJ1GfD4a2kEi22c_E The rapidly evolving field of @CHEMICAL$ diagnostics has resulted in the recognition of new entities and better understanding of tumor pathogenesis, while careful clinicopathologic correlative analyses have led to improvements in modeling @DISEASE$ behavior. false +KLCIF7Aq5X7Drvmx5IKL4ZsbTpI The rapidly evolving field of @CHEMICAL$ diagnostics has resulted in the recognition of new entities and better understanding of @DISEASE$ pathogenesis, while careful clinicopathologic correlative analyses have led to improvements in modeling tumor behavior. false +uW58tsRgoM5PY_OpfUjB3udP0u0 @CHEMICAL$ resulted in expected rates of @DISEASE$ in this small cohort, with 2 of 5 patients receiving the study treatment for durable periods. false +WotUd1ktckALRUT9jexe8eyNt3U NHR pattern was established as 26.3% in @DISEASE$ hypertensive @CHEMICAL$, 43.3% in predialysis group and 77.4% in dialysis group. false +AavPNDRHX_XXq6dr5NPd58PBDCc NHR pattern was established as 26.3% in @DISEASE$ hypertensive group, 43.3% in predialysis @CHEMICAL$ and 77.4% in dialysis group. false +FXBNs0VWsGp7JUjHaMUnze1R5aA NHR pattern was established as 26.3% in @DISEASE$ hypertensive group, 43.3% in predialysis group and 77.4% in dialysis @CHEMICAL$. false +2o90I-Y8i6HvjBrDcbE5dBYuoVM @DISEASE$: Response to targeted therapy with @CHEMICAL$. treats +gLxEj9s3kNdena6bv7_UBkCEJ4M The results indicated that @CHEMICAL$, sanitation and hygiene conditions could be responsible in the contamination of children's toys and the transmission of @DISEASE$ to young children. false +SPQg1SAHI4vo4IIzwuuLMAKg2vc Normal ultrasound anatomy and @DISEASE$ anatomical variants of the @CHEMICAL$ gland plus adjacent structures - A pictorial review. false +SNDA19A0xtaneSivQOZWOOLngVI @CHEMICAL$ for @DISEASE$ Prophylaxis: A Case Series. treats +DwFxiSqBhmdtSq-iDYV2-2anNHY Solutions to blood transfusion in austere settings include lyophilized blood products, @CHEMICAL$ oxygen carriers (HBOCs), and fresh whole @DISEASE$. false +hZHMlX5xYSz3W63UOfSBrhNC36M Solutions to @DISEASE$ transfusion in austere settings include lyophilized blood products, @CHEMICAL$ oxygen carriers (HBOCs), and fresh whole blood. false +jyubZ43s5Fqq3cQcolFJ9BUBXaI Solutions to @DISEASE$ transfusion in austere settings include lyophilized blood products, hemoglobin-based @CHEMICAL$ carriers (HBOCs), and fresh whole blood. false +wPQPW6eWDt6uWiAvbsT2zoXCbQA Solutions to blood transfusion in austere settings include lyophilized blood products, hemoglobin-based @CHEMICAL$ carriers (HBOCs), and fresh whole @DISEASE$. false +5uR3T4RN1D6AmiSvjLyoO09WNLg Solutions to blood transfusion in austere settings include lyophilized @DISEASE$ products, hemoglobin-based @CHEMICAL$ carriers (HBOCs), and fresh whole blood. false +udtIvH89WkNTK9SJIYI1xkeVEHU Solutions to blood transfusion in austere settings include lyophilized @DISEASE$ products, @CHEMICAL$ oxygen carriers (HBOCs), and fresh whole blood. false +59c_FdmeTA9KfghJpcbSslYNigQ Successful treatment by @CHEMICAL$ for @DISEASE$ associated with anagrelide in a patient with essential thrombocythemia. treats +AngyxCM7EF6Oj7GtlEv2QUU4CI4 Successful treatment by prednisolone for interstitial pneumonia associated with @CHEMICAL$ in a patient with @DISEASE$. treats +qDRlFSwEs4TQzCCJjc05RQt-zZQ prevented PHH in LPA-injected animals, supporting the medical tractability of @CHEMICAL$ in preventing @DISEASE$ and negative CNS sequelae in premature infants. treats +KLHoE5A-2rZHaeZW_V4zOREDCJA Benefit of @CHEMICAL$ With Definitive Radiotherapy in Older Women With @DISEASE$. treats +6SBOR2N0EzmV3Og2e5ayWUaat1Y The role of @CHEMICAL$, dose and the tolerance/intolerance of new drugs in multiple @DISEASE$ (MDH). false +pzxBvZdB2HmIgdVPy1sG-c--7oQ Increasing evidence suggest a bidirectional link between disrupted circadian rhythms and @CHEMICAL$ use @DISEASE$ (AUD). false +TRl3UfVQbrCl1TR74LaV5s1bD-A Our results highlight the importance of unOc as a hormone in promoting the osteogenic differentiation of BMSCs, indicating that this @CHEMICAL$ may be beneficial in treatments for osteoporosis and @DISEASE$ healing. treats +vsMIxhdhBOGsRY8c1sI5xbqgU6U Our results highlight the importance of @CHEMICAL$ as a hormone in promoting the osteogenic differentiation of BMSCs, indicating that this hormone may be beneficial in treatments for osteoporosis and @DISEASE$ healing. treats +iUiBG13t2rwYWbwKAD8tSw-uGZI Our results highlight the importance of unOc as a hormone in promoting the osteogenic differentiation of BMSCs, indicating that this @CHEMICAL$ may be beneficial in treatments for @DISEASE$ and fracture healing. treats +WkrNKwbJtBb02QY3uctu_PgJymQ Our results highlight the importance of @CHEMICAL$ as a hormone in promoting the osteogenic differentiation of BMSCs, indicating that this hormone may be beneficial in treatments for @DISEASE$ and fracture healing. treats +UAc-kUryD0Krvxvu_iDb1pmnYGs The inverse association between plasma @CHEMICAL$ cholesterol (HDL-C) concentration and the incidence of @DISEASE$ (CVD) has been unequivocally proven by many epidemiological studies. false +2N8phPU35APVKfW9mOmzZg5e6Mw The inverse association between plasma high-density lipoprotein cholesterol (@CHEMICAL$ concentration and the incidence of @DISEASE$ (CVD) has been unequivocally proven by many epidemiological studies. false +VbesWwukwIkvgzWdBevrdJZAzT0 The inverse association between plasma @CHEMICAL$ (HDL-C) concentration and the incidence of @DISEASE$ (CVD) has been unequivocally proven by many epidemiological studies. false +xqXFbCWE2RGEksfsZczi-nOQE2k A phase II study showed longer survival in patients with recurrent @DISEASE$ who received neoadjuvant @CHEMICAL$ therapy than in those who received it as adjuvant therapy. treats +4YE82kEkWVMWnUef1iPWZ_Hs2f4 A descriptor known as strain work to @DISEASE$ turns out to be a good descriptor for evaluating the hydro-thermal fatigue of the tested @CHEMICAL$ composites. false +lJ9SgJYwVDXBA2_5pVUkBsmAAjM The PPI analysis results showed that Golgi membrane @CHEMICAL$ 1 (GOLM1), melanoma inhibitory activity member 3 (MIA3), ATP citrate lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in @DISEASE$, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +Mdv67G_sUwJogtG9cQeYx07qPkU The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), melanoma inhibitory activity member 3 (MIA3), ATP citrate lyase (ACLY) and G @CHEMICAL$ subunit β2 (GNB2) were the key genes in @DISEASE$, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +qf3wCObseQJsZyc2Fu5pbw55oO4 The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), melanoma inhibitory activity member 3 (MIA3), @CHEMICAL$ citrate lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in @DISEASE$, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +mf0x2dC05bkuQ82tY6eXodc6ckU The PPI analysis results showed that Golgi membrane @CHEMICAL$ 1 (GOLM1), @DISEASE$ inhibitory activity member 3 (MIA3), ATP citrate lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in PCa, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +qvdVEmklDIe3ersJWvKYwNaDIcs The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), @DISEASE$ inhibitory activity member 3 (MIA3), ATP citrate lyase (ACLY) and G @CHEMICAL$ subunit β2 (GNB2) were the key genes in PCa, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +NYLacFxeFYhuMA8xxCi87-erhww The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), @DISEASE$ inhibitory activity member 3 (MIA3), @CHEMICAL$ citrate lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in PCa, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +XToCOEVZJg4x46xP5I5BxiUYb9Q The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), @DISEASE$ inhibitory activity member 3 (MIA3), ATP @CHEMICAL$ lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in PCa, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +FObWBfufAd7ZfZe9pziLCzO9A1g The PPI analysis results showed that Golgi membrane protein 1 (GOLM1), melanoma inhibitory activity member 3 (MIA3), ATP @CHEMICAL$ lyase (ACLY) and G protein subunit β2 (GNB2) were the key genes in @DISEASE$, and the Module analysis revealed that they were associated with 'ECM-receptor interaction', 'focal adhesion', the 'PI3K-Akt pathway' and the 'metabolic pathway'. false +uEIa0tGl_EZ-khwqJIa4e7lFzrw Barium retention is a @DISEASE$ complication of upper gastrointestinal tract examination when using @CHEMICAL$ sulphate as a contrast agent. false +RLdoms4UV_VPehedc38jBdmsthI @CHEMICAL$ retention is a @DISEASE$ complication of upper gastrointestinal tract examination when using barium sulphate as a contrast agent. false +nD8EnEu3YXymuZheHF4QPR2c5xM or tumour necrosis factor inhibitor (TNFi), @DISEASE$ modifying @CHEMICAL$ (DMARDs) or corticosteroids (OR 2.01, 95% CI 1.57-2.58) false +LekWiee2hTn7CYkYfk3LwNroDXY or tumour necrosis factor @CHEMICAL$ (TNFi), @DISEASE$ modifying antirheumatic drugs (DMARDs) or corticosteroids (OR 2.01, 95% CI 1.57-2.58) false +z_XLFJwRPOzD5uCLMYYmAhVwKOs or tumour necrosis factor inhibitor (TNFi), @DISEASE$ modifying antirheumatic drugs (DMARDs) or @CHEMICAL$ (OR 2.01, 95% CI 1.57-2.58) false +sTI0xBVTF_iN0NP__wgvShGieZU Sprague Dawley rats were @DISEASE$ with a chow, a @CHEMICAL$ diet (HFD), or a PFE-supplemented diet for 8 weeks. false +5KSs8sOBUjyiWUlFCInWk2omutc Sprague Dawley rats were fed with a chow, a @CHEMICAL$ diet (HFD), or a @DISEASE$ diet for 8 weeks. false +LL9BSnUTUK4brqZw_sF9wLp4mPI In this study, we evaluated whether ssDNA libraries captured more circulating @DISEASE$ @CHEMICAL$ (ctDNA) in plasma cell-free DNA (cfDNA). false +kFyxSESPDm2ZGmIcdvE-Bh7s86c In this study, we evaluated whether @CHEMICAL$ libraries captured more circulating @DISEASE$ DNA (ctDNA) in plasma cell-free DNA (cfDNA). false +um0jXUSxlaf6U9wrf9xDLR8MeC4 In this study, we evaluated whether ssDNA libraries captured more circulating @DISEASE$ DNA (ctDNA) in plasma cell-free @CHEMICAL$ (cfDNA). false +juLwfpuntWuUmGJPsB_NqS060fs The general questions of the pathogenesis of the syndrome of excessive bacterial growth in the intestine, the participation of opportunistic microflora, the deficit of representatives of normal microflora, changes in the species composition of @CHEMICAL$ in the pathogenesis of nonalcoholic @DISEASE$ are considered. false +Z9w8K3zBhGonWb2BYtyzm-fTJtU The general questions of the pathogenesis of the @DISEASE$ of excessive bacterial growth in the intestine, the participation of opportunistic microflora, the deficit of representatives of normal microflora, changes in the species composition of @CHEMICAL$ in the pathogenesis of nonalcoholic fatty liver disease are considered. false +_abJ8SPDBIZqH0h2AWV1b_QWtWU The general questions of the pathogenesis of the @DISEASE$ of excessive bacterial growth in the intestine, the participation of opportunistic microflora, the deficit of representatives of normal microflora, changes in the species composition of bile acids in the pathogenesis of nonalcoholic @CHEMICAL$ liver disease are considered. false +pE_Owh12gAXOxQWqgM2K2ErbnvQ PVN microinjection of ELA-21 increased renal sympathetic nerve activity (RSNA), mean arterial pressure (@DISEASE$), heart rate (HR), plasma norepinephrine (NE) and arginine vasopressin (@CHEMICAL$) levels in SHR. false +4EwSt2S0rM0MNJ21IpMMXLaMtok PVN microinjection of ELA-21 increased renal sympathetic nerve activity (RSNA), mean arterial pressure (@DISEASE$), heart rate (HR), plasma norepinephrine (NE) and @CHEMICAL$ vasopressin (AVP) levels in SHR. false +myzb58m2wtSwrVKUBtmZPBu85lc PVN microinjection of ELA-21 increased renal sympathetic nerve activity (RSNA), mean arterial pressure (@DISEASE$), heart rate (HR), plasma norepinephrine (NE) and @CHEMICAL$ (AVP) levels in SHR. false +ZVbEScvPkMyVMny4TG48m2RI_9c Effects of the 5-HT2A and DRD3 genotypes on cortical morphology and functional connectivity density in @CHEMICAL$ first episode @DISEASE$. false +M5B6UO9ktMO-g0htpBsEzqTLYvg The specificity, @DISEASE$ and flexibility of this technique allow unparalleled insights into @CHEMICAL$ metabolism. false +ID1UYrfx2fSgROkv0fGae6l0xVw EES treatment for 31 days decreased hepatic and @DISEASE$ SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, @CHEMICAL$, lipid peroxidation, TNF-α levels and Nrf2 expression. false +tzkhuRb-lZbWQTfXc-E3vfesMic EES treatment for 31 days decreased hepatic and tumor SOD activity, @DISEASE$ IL-10 levels and Cyclin D1 expression, and increased tumor reduced @CHEMICAL$, N-acetylglucosaminidase, reactive oxygen species, lipid peroxidation, TNF-α levels and Nrf2 expression. false +m8PWqIWzOfDQWFhRcXD87zmzXNU EES treatment for 31 days decreased hepatic and tumor @DISEASE$ activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced @CHEMICAL$, N-acetylglucosaminidase, reactive oxygen species, lipid peroxidation, TNF-α levels and Nrf2 expression. false +iAPWc0j0THTlX1ijVMQoV9NPyp8 EES treatment for 31 days decreased hepatic and tumor SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased @DISEASE$ reduced @CHEMICAL$, N-acetylglucosaminidase, reactive oxygen species, lipid peroxidation, TNF-α levels and Nrf2 expression. false +WVlPd-qsQ9VuTV50wjSLI5w2Jf8 EES treatment for 31 days decreased hepatic and tumor SOD activity, @DISEASE$ IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, lipid @CHEMICAL$, TNF-α levels and Nrf2 expression. false +T7arKxZ-FIs1k5Rfn7E4Giw6Yn4 EES treatment for 31 days decreased hepatic and tumor SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased @DISEASE$ reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, lipid @CHEMICAL$, TNF-α levels and Nrf2 expression. false +5Kzi1u13PHHbSGD8UN6-Qph9zeQ EES treatment for 31 days decreased hepatic and @DISEASE$ SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, lipid @CHEMICAL$, TNF-α levels and Nrf2 expression. false +1yyum5xRXaBs6VSfH0wnDbxw6lw EES treatment for 31 days decreased hepatic and tumor SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased @DISEASE$ reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, @CHEMICAL$ peroxidation, TNF-α levels and Nrf2 expression. false +KfivqXkzaeGhjvI7s5FPTox900s EES treatment for 31 days decreased hepatic and @DISEASE$ SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced @CHEMICAL$, N-acetylglucosaminidase, reactive oxygen species, lipid peroxidation, TNF-α levels and Nrf2 expression. false +YDTMlwBOKtnEmbYuuH7RoQo0yeg EES treatment for 31 days decreased hepatic and tumor SOD activity, @DISEASE$ IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, @CHEMICAL$, lipid peroxidation, TNF-α levels and Nrf2 expression. false +kluPEsUwObYYuGSSsUc4X2E-TgM EES treatment for 31 days decreased hepatic and tumor @DISEASE$ activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, lipid @CHEMICAL$, TNF-α levels and Nrf2 expression. false +tco_E65jSq6cQvuDphcs_8nuvfI EES treatment for 31 days decreased hepatic and @DISEASE$ SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, @CHEMICAL$ peroxidation, TNF-α levels and Nrf2 expression. false +_M91rEE3jlu7UsUtoPNPkrTN64A EES treatment for 31 days decreased hepatic and tumor @DISEASE$ activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, @CHEMICAL$ peroxidation, TNF-α levels and Nrf2 expression. false +sh9x82vuqGLGrYYQo0PwBUpyiV0 EES treatment for 31 days decreased hepatic and tumor @DISEASE$ activity, tumor IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, @CHEMICAL$, lipid peroxidation, TNF-α levels and Nrf2 expression. false +pMKpkkEI8_HpG7H8Gv6Kj1f8rrs EES treatment for 31 days decreased hepatic and tumor SOD activity, tumor IL-10 levels and Cyclin D1 expression, and increased @DISEASE$ reduced glutathione, N-acetylglucosaminidase, @CHEMICAL$, lipid peroxidation, TNF-α levels and Nrf2 expression. false +Rm6IaCv5cFDNsf6yI9nF1vCo408 EES treatment for 31 days decreased hepatic and tumor SOD activity, @DISEASE$ IL-10 levels and Cyclin D1 expression, and increased tumor reduced glutathione, N-acetylglucosaminidase, reactive oxygen species, @CHEMICAL$ peroxidation, TNF-α levels and Nrf2 expression. false +UFcSsfzaaLVBFWETpHYmHZUYOZ0 Apart from @DISEASE$ cells, PD-L1 silencing on host immune cells such as @CHEMICAL$ and DC can also enhance T cell immunity, leading to tumor clearance. false +8MjeR_dxFq9KocXqe7QE_b2nC6c Apart from cancer cells, PD-L1 silencing on host immune cells such as @CHEMICAL$ and DC can also enhance T cell immunity, leading to @DISEASE$ clearance. false +TEVikcdRCS5iUWlLd1BI_GvuffY In this open-label, multicohort study, we assigned 47 patients with untreated or relapsed @DISEASE$ to receive an intravenous infusion of @CHEMICAL$ at a dose of 7 μg or 12 μg per kilogram of body weight on days 1 to 5 of each 21-day cycle. treats +J9AWxpc9IgxSTD_BDgiUrnjowYc It is appropriate to initiate @CHEMICAL$ in @DISEASE$ patients with VTEs. false +aJlP_mURjkTrEm2xa12JlK-HJ3Q SIGNIFICANCE STATEMENT: Our data show for the first time that FlAsH-tagging of @CHEMICAL$ channels is a promising tool to study conformational changes after channel opening and may significantly advance the analysis of @DISEASE$ channel activation as well as their mutants involved in channelopathies. false +efRiA19lT_YHNMc-O31VYnQegeg SIGNIFICANCE STATEMENT: Our data show for the first time that FlAsH-tagging of @DISEASE$ channels is a promising tool to study conformational changes after channel opening and may significantly advance the analysis of @CHEMICAL$ channel activation as well as their mutants involved in channelopathies. false +S7hZP1A4mVdW9H9y41KM9aCRCoE @CHEMICAL$ pollen are natural, biological airborne particles and the main cause of @DISEASE$ respiratory diseases. false +ryrKyuGui43vaG4XyLdnYCtpXIo @CHEMICAL$ pollen are natural, biological airborne particles and the main cause of allergic respiratory @DISEASE$. false +diAXu7dEo3CbJmH__ZLIvPTIS1g Allergenic pollen are natural, @CHEMICAL$ airborne particles and the main cause of @DISEASE$ respiratory diseases. false +EwNgXPvGtnlx10QcVqSPYYQqOwY Allergenic pollen are natural, @CHEMICAL$ airborne particles and the main cause of allergic respiratory @DISEASE$. false +Zf3psOAErEeiGivYbeGeOTBBblM No single nodule feature is an absolute @CHEMICAL$ for @DISEASE$. false +U_tzmvAbvAU0qzD6x0xOIZO0xMk Reconstruction of the @CHEMICAL$ network based on competitive endogenous RNA reveal functional lncRNAs in @DISEASE$. false +3nQ727vBp0pztvI1mWS9VyopdNU Reconstruction of the lncRNA-miRNA-mRNA network based on competitive endogenous @CHEMICAL$ reveal functional lncRNAs in @DISEASE$. false +B32eayEEtOJoEDmN07F-u06gkWs The 5-year absolute risk of thromboembolic events (taking death into account as a competing risk) in patients with AF grouped according to secondary precipitants were 8.3% (@CHEMICAL$ intoxication), 8.5% (thyrotoxicosis), 12.1% (@DISEASE$), 11.6% (surgery), 12.2% (infection), 10.1% (>1 precipitant) and 12.3% (no secondary precipitant). false +rxI-TM2jxDDwdMZVtYAqeDfcdQY The 5-year absolute risk of thromboembolic events (taking death into account as a competing risk) in patients with AF grouped according to secondary precipitants were 8.3% (@CHEMICAL$ intoxication), 8.5% (thyrotoxicosis), 12.1% (myocardial infarction), 11.6% (surgery), 12.2% (@DISEASE$), 10.1% (>1 precipitant) and 12.3% (no secondary precipitant). false +0ZQuKTm7dg6iiiSANpK09dPIYzs The 5-year absolute risk of thromboembolic events (taking death into account as a competing risk) in patients with AF grouped according to secondary precipitants were 8.3% (@CHEMICAL$ intoxication), 8.5% (@DISEASE$), 12.1% (myocardial infarction), 11.6% (surgery), 12.2% (infection), 10.1% (>1 precipitant) and 12.3% (no secondary precipitant). false +4Wb5pH-77pVo8L7N4ng0gmOXGIs Our results show that Nox (NADPH oxidase enzyme) 4-induced @CHEMICAL$ (ROS) production is deregulated in both @DISEASE$ and CRC. false +LHBk9td3xMkYyjUg9GYHOPZZmL4 Our results show that Nox (NADPH oxidase enzyme) 4-induced @CHEMICAL$ (ROS) production is deregulated in both diabetes and @DISEASE$ false +yAIk_ICy8MOTwQjGoI4Otkk3Hb8 Our results show that Nox (NADPH oxidase @CHEMICAL$) 4-induced reactive oxygen species (ROS) production is deregulated in both @DISEASE$ and CRC. false +ZGl_p5Gdqu0ZcOMJIoJCnOLoXI0 Our results show that Nox (NADPH oxidase @CHEMICAL$) 4-induced reactive oxygen species (ROS) production is deregulated in both diabetes and @DISEASE$ false +m_tSrEFZ_gYOTmpGBS1n7InIBic Our results show that Nox (@CHEMICAL$ oxidase enzyme) 4-induced reactive oxygen species (ROS) production is deregulated in both @DISEASE$ and CRC. false +QVzr0X7sVAtPwUzOYowraqrt9Xg Our results show that Nox (@CHEMICAL$ oxidase enzyme) 4-induced reactive oxygen species (ROS) production is deregulated in both diabetes and @DISEASE$ false +MGKAmGx764EGEUBQqLhWxJYZhXo Attenuating @DISEASE$ on structural data in computing @CHEMICAL$ energy landscapes. false +L2VjcbiG0KGVo5hxXOB4IC-tjAw A 67-year-old female, who died from vomiting and @DISEASE$ one day after placement of two intragastric weight-loss balloons, had elevated concentrations of @CHEMICAL$ at 1.4 mg/L in the iliac vein blood and 9.3 mg/kg in the liver. false +TSDonErscdEHnlPUBcfcEfyvrpg A 67-year-old female, who died from vomiting and bacterial gastritis one day after placement of two intragastric weight-loss balloons, had elevated concentrations of @CHEMICAL$ at 1.4 mg/L in the iliac vein @DISEASE$ and 9.3 mg/kg in the liver. false +AJpbOTNgE3Q3FOwZ_k-YRp8aM3Q We propose that @DISEASE$ TB is involved in recruiting Cry1Ac to localize it in a good position for its interaction with the ABCC2, resulting in efficient @CHEMICAL$ membrane insertion enhancing Cry1Ac toxicity. false +-RHsNjKH1N8Djgi1G1waHUyFdPo Further workup revealed that circulating tumor-derived @CHEMICAL$ and liver metastases originated from a synchronous KRAS-mutated @DISEASE$. false +ddEI6wmTufAc7LKWRmdF6g12wVs Further workup revealed that circulating @DISEASE$ @CHEMICAL$ and liver metastases originated from a synchronous KRAS-mutated cancer of the pancreas. false +BTE_Q_F6o-VJU72wsWxag6xvzKQ Medullary @CHEMICAL$ carcinoma (@DISEASE$) accounts for only 0.5-3% of all malignant diseases, but is responsible for more deaths every year than all the other endocrine malignancies taken together. false +dY7_RC6oq49ycKZbM_76PfbBbaI Medullary @CHEMICAL$ carcinoma (MTC) accounts for only 0.5-3% of all malignant @DISEASE$, but is responsible for more deaths every year than all the other endocrine malignancies taken together. false +nB0nSi3OKdW_mJCidkvLNxz8CK4 Role of @DISEASE$ in Fungal @CHEMICAL$ Homeostasis. false +Q_vEsJxH1RoAwGUJB9poRJrKA-Y In the field where @CHEMICAL$ immersion is not available it may be necessary to use ice packs or very @DISEASE$, wet towels placed over as much of the body as possible before transportation of the victim to higher levels of medical care. false +M9hmySFK3zENmfINyZV6ZruaCDk Finally, we show that this mode is a @DISEASE$ @CHEMICAL$ for the overall structural integrity of the ribbons and their interaction with technologically relevant substrates. false +p5kS4WHDX3s-7l2PWFsZ8I3FJdk Treatment of anti-MDA5 autoantibody-positive @DISEASE$ using @CHEMICAL$. treats +n9Q6QXryzVXdyylqTwaulo26xNs Salivary and serum concentrations of selected @CHEMICAL$ and antiinflammatory cytokines in relation to oral lesions among children undergoing maintenance therapy of @DISEASE$. false +7qQZcMuwYUPfGO1f47hFD3zERkU These studies suggest that human, bovine and mouse CAII are not responsible for @CHEMICAL$ dependent NO formation in red @DISEASE$ cells, aorta or the systemic circulation. false +uR8VzX_nc2UESc7rNCnv9HZwfQ0 The maximum corresponding to @CHEMICAL$ correlations relates to the position of the FDP of HDA ice at ∼1 @DISEASE$. false +cEqRotyd0uERP2edugAx1_gLp4U In conclusion, controlling the @DISEASE$ expansion by decreasing the @CHEMICAL$ (w/c) ratio provides a promising approach to achieve 3D hollow channels in cement and, therefore, makes it possible to create complex tunnels within self-healing cementitious materials. false +oToWxE0Ikm-8862kcXKCVj1tn30 The progression of @DISEASE$ can @CHEMICAL$ to respiratory muscle weakness, reduced peak expiratory flow and quality of life (QoL). false +BylDO4YpuQg-moXzTyncuG8mxOU @DISEASE$ was sampled from the hepatic vein and the femoral artery and suPAR was measured by @CHEMICAL$ immunosorbent assay. false +rap1IraYe82ggUXGRZ85Pa6crlE Intervention in this pathway could prevent @CHEMICAL$ sensitization and subsequent Th2 @DISEASE$ inflammation. false +ZUQMBqhcwPgvxrlSURYqEjfkqao Consistent with this, analysis of the Human Protein Atlas database indicated that the expression levels of the @DISEASE$ @CHEMICAL$ were upregulated in COAD tissues (n=11) compared with those in normal tissues (n=3; P=0.0245). false +9HrxYlJMhlZyF0id8s4E-UVyUOY Consistent with this, analysis of the Human @CHEMICAL$ Atlas database indicated that the expression levels of the @DISEASE$ protein were upregulated in COAD tissues (n=11) compared with those in normal tissues (n=3; P=0.0245). false +a5lnuQnb780q2ypZvfTG2FrqMrI The variability of the clinical phenotype together with histopathologic findings suggests that several molecular pathways may be involved in the @DISEASE$ pathomechanism, such as nucleocytoplasmic shuttling, protein aggregation, and defective @CHEMICAL$ turnover. false +e5g_Si0MHdEWd00jAw2gs3eOs98 The variability of the clinical phenotype together with histopathologic findings suggests that several @CHEMICAL$ pathways may be involved in the @DISEASE$ pathomechanism, such as nucleocytoplasmic shuttling, protein aggregation, and defective protein turnover. false +wFlAH3UO-K5q3XbYDg6NiOexV3k The variability of the clinical phenotype together with histopathologic findings suggests that several molecular pathways may be involved in the @DISEASE$ pathomechanism, such as nucleocytoplasmic shuttling, @CHEMICAL$ aggregation, and defective protein turnover. false +BR4XDr6gVb6sLiur8mG1m0v1M7A Viral persistence and immune defects are the two major reasons for CHB, and it was hypothesized that based on a transient clearance of serum viral @CHEMICAL$ and HBsAg "window stage", active immunization against @DISEASE$ virus (HBV) might initiate effective host immune responses versus HBV to achieve functional cure of CHB. false +C2ORISEKCu4_kU051tcVzl8xcr0 Rescue experiments demonstrated that miR-195 @CHEMICAL$ abrogated the beneficial role of circVANGL1 knockdown in @DISEASE$ cells. false +AobttSoETZamJR8mQx9vHKIhSuc @CHEMICAL$ profile of genes involved in inflammation, in the blood from pregnancies with maternal @DISEASE$ due to untreated gestational diabetes mellitus. false +uwMcHATyQ0KhvguqeBF-9K0UegM @CHEMICAL$ profile of genes involved in inflammation, in the @DISEASE$ from pregnancies with maternal preeclampsia due to untreated gestational diabetes mellitus. false +8XhIjMmZ6r-tr-cSTaP9n0Viqlo @CHEMICAL$ profile of genes involved in inflammation, in the blood from pregnancies with maternal preeclampsia due to untreated @DISEASE$. false +lW0bYQiXXD9UypxLdqfyFjFKPA0 In this study, we aimed to explore the cut-off value of IFG via the associations of @DISEASE$ lipids with fasting plasma @CHEMICAL$ (FPG). false +7cbBsAtdjWGyEG5jVNjin9fhJcM In this study, we aimed to explore the cut-off value of IFG via the associations of @DISEASE$ @CHEMICAL$ with fasting plasma glucose (FPG). false +5rXH74_anXoer3tsogLN4siv-uU To evaluate the role of diffusion kurtosis and diffusivity as potential imaging biomarkers to predict response to neoadjuvant @CHEMICAL$ therapy (CRT) from baseline staging magnetic resonance imaging (MRI) in locally advanced @DISEASE$ (LARC). treats +-_9ONSWFYs4lAfYP7HQiYvySpZY A total of 24 female Sprague-Dawley (SD) 21 days old were randomly divided into control @CHEMICAL$ (n=12) and @DISEASE$ group (n=12). false +lZtREhCNLUiGiElandvqLkn5BVg A total of 24 female Sprague-Dawley (SD) 21 days old were randomly divided into control group (n=12) and @DISEASE$ @CHEMICAL$ (n=12). false +nwIL-EjKb5Gacl3lfF_rSMnXtAM Stool-Based miR-92a and miR-144* as Noninvasive @CHEMICAL$ for @DISEASE$ Screening. false +O8iTkzPbXccz9MDZcQu-ZfYOzoI Accumulating evidence suggests that diets rich in @CHEMICAL$ (PUFAs) offer protection against @DISEASE$, neuroinflammation, hypertension, and thrombosis. treats +1_IavopKNpFvRQusRb6HoZjFFa0 Accumulating evidence suggests that diets rich in @CHEMICAL$ (PUFAs) offer protection against vascular inflammation, neuroinflammation, hypertension, and @DISEASE$. treats +-Is_Pokivr24xIT5EDWy7r4I9OM Accumulating evidence suggests that diets rich in @CHEMICAL$ (PUFAs) offer protection against vascular inflammation, @DISEASE$, hypertension, and thrombosis. treats +-BsFsoM1mVAqs0pXSfYoWbtgPno Accumulating evidence suggests that diets rich in @CHEMICAL$ (PUFAs) offer protection against vascular inflammation, neuroinflammation, @DISEASE$, and thrombosis. treats +u71E5Q4nieadSYvqqfJZoaehGDk The polyglandular autoimmune syndrome (PAS) type III is a @DISEASE$ condition defined as the coexistence of autoimmune @CHEMICAL$ disorder with other endocrine autoimmune diseases, including type 1 diabetes, without adrenal dysfunction. false +E-jSdgPspdJBS6pil_ugC5bI0r0 The polyglandular autoimmune @DISEASE$ (PAS) type III is a rare condition defined as the coexistence of autoimmune @CHEMICAL$ disorder with other endocrine autoimmune diseases, including type 1 diabetes, without adrenal dysfunction. false +-zqOC5ihsCF8wr5gOQnQs3XmGog The polyglandular autoimmune syndrome (PAS) type III is a rare condition defined as the coexistence of autoimmune @CHEMICAL$ disorder with other endocrine autoimmune diseases, including @DISEASE$, without adrenal dysfunction. false +zE0fcJECWa-UuJcKw8UVEsuJks8 The polyglandular autoimmune syndrome (PAS) type III is a rare @DISEASE$ defined as the coexistence of autoimmune @CHEMICAL$ disorder with other endocrine autoimmune diseases, including type 1 diabetes, without adrenal dysfunction. false +c1lHTn2YmvFiWNiPdlsFXDmXctA The polyglandular autoimmune syndrome (PAS) type III is a rare condition defined as the coexistence of autoimmune @CHEMICAL$ @DISEASE$ with other endocrine autoimmune diseases, including type 1 diabetes, without adrenal dysfunction. false +tKyCNia2PrD4J7AJ62wt4w_YJqc The polyglandular autoimmune syndrome (PAS) type III is a rare condition defined as the coexistence of autoimmune @CHEMICAL$ disorder with other endocrine autoimmune @DISEASE$, including type 1 diabetes, without adrenal dysfunction. false +KMxm1xvXLik44mjZj0Ovaq5_CY0 There were significant differences in APT values of the @DISEASE$ @CHEMICAL$ in bilateral caudate, bilateral thalamus, bilateral centrum semiovale and left globus pallidus/putamen (p < 0.05), and no statistical difference was observed in right globus pallidus/putamen (p = 0.051) and brainstem (p = 0.073) between the two groups. false +hjO-JEFOqILKyNBotu2axZ8FjbQ Changes in Conjunctiva Morphology Using Impression Cytology in Patients with @DISEASE$ without @CHEMICAL$ Ophthalmopathy false +Gm91rFLIZWqUosFWwNza_zpKn8s The image findings at that time suggested a @DISEASE$, and consequently, we performed a right @CHEMICAL$ orchiectomy. false +_tQ-OTJJxaNfdZ2d4E0-ZexOWQk Acceptance: @CHEMICAL$ to consider in persistent pain after neck @DISEASE$. false +_OakycYN5Fp_T3KC_giB0PIpH94 This @DISEASE$ is widely treated by calcimimetics like @CHEMICAL$ which act by allosteric activation of the calcium sensing receptor. treats +Q9j9B9mjjbAnAuYiVh0sYztBjd0 This @DISEASE$ is widely treated by @CHEMICAL$ like cinacalcet which act by allosteric activation of the calcium sensing receptor. treats +MKWZF8qBfJd1knJW4IQBGdf4YiM Our study provides a valuable direction to understand the molecular basis of CP syndrome and offer a newer @CHEMICAL$ approach to address @DISEASE$. treats +E_kIZm_NxiWevG-e8PZpN2VTIpQ Our study provides a valuable direction to understand the @CHEMICAL$ basis of CP @DISEASE$ and offer a newer therapeutics approach to address CP syndrome. false +c0RZMZgkJ5tXqhIJEnMeaW1ANvg @DISEASE$ associates with @CHEMICAL$ protein kinase catalytic subunit isoform 1 (DNA-PKcs), and this interaction is increased in response to X-ray irradiation to regulate S6K2 signaling. false +uEj9d8LTD4226FhWqA0VnQCPWcE @DISEASE$ associates with DNA-dependent protein kinase catalytic subunit isoform 1 (@CHEMICAL$), and this interaction is increased in response to X-ray irradiation to regulate S6K2 signaling. false +MYvs-8-UXpeESKw85HdOZQCPIdM @DISEASE$ associates with DNA-dependent @CHEMICAL$ kinase catalytic subunit isoform 1 (DNA-PKcs), and this interaction is increased in response to X-ray irradiation to regulate S6K2 signaling. false +V__btaqYtmLAf7BI1hCVPbfIg-M FMT from SHR to WKY increased CD80 and CD86 @CHEMICAL$ levels and T cells activation in @DISEASE$, circulating T cells, aortic T cell infiltration, impaired endothelial function and increased basal SBP. false +Qskec-npXupHp6wLtlwHrtJggbw Antioxidant enzyme assays revealed that superoxide dismutase (@DISEASE$), peroxidase, catalase (CAT), and ascorbate peroxidase (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed @CHEMICAL$. false +yg37FSLJDyJHzMnXBMWr8X4YRsE Antioxidant enzyme assays revealed that superoxide dismutase (@DISEASE$), peroxidase, catalase (CAT), and ascorbate @CHEMICAL$ (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed germination. false +WlObUYeCv4QWkGhZ888vCjEKEFM Antioxidant enzyme assays revealed that superoxide dismutase (@DISEASE$), peroxidase, catalase (CAT), and @CHEMICAL$ peroxidase (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed germination. false +AZ3hpaI4HcnRtjZbDWPrGeKmjgM Antioxidant @CHEMICAL$ assays revealed that superoxide dismutase (@DISEASE$), peroxidase, catalase (CAT), and ascorbate peroxidase (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed germination. false +9upmWzL7IvI8bbnQw4w1PDlk_tI Antioxidant enzyme assays revealed that @CHEMICAL$ dismutase (@DISEASE$), peroxidase, catalase (CAT), and ascorbate peroxidase (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed germination. false +l4C9uZ3f-0btcZX-xB5YPMbtlYs @CHEMICAL$ enzyme assays revealed that superoxide dismutase (@DISEASE$), peroxidase, catalase (CAT), and ascorbate peroxidase (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed germination. false +PIXoXM_K51bSb6HES8KzxSvt8Sc Antioxidant enzyme assays revealed that superoxide dismutase (@DISEASE$), @CHEMICAL$, catalase (CAT), and ascorbate peroxidase (APX) activity were reduced by HT and drought stress, consistent with the expression of OsCu/ZnSOD, OsCATc, and OsAPX2 during seed germination. false +9pu2FSw3qBVKtjFRPLn9vUGMjgc Patients with @DISEASE$ to @CHEMICAL$ were excluded. false +pEve6hFaVzCoP9BqUYvDdK7mi20 Women participants with type 2 diabetes (N = 46) wore an iBUTTON temperature monitor and a pedometer for 1 week and recorded their morning fasting @DISEASE$ @CHEMICAL$ (FBG) daily. false +Nm5cDBjfpvQp-1xcoQROenYYVWo Women participants with @DISEASE$ (N = 46) wore an iBUTTON temperature monitor and a pedometer for 1 week and recorded their morning fasting blood @CHEMICAL$ (FBG) daily. false +ChIl9Pk28SLQ25juDFgfrqqUN9s Interestingly, pain correlated negatively with alpha-2 in Cz, P4, and Pz only in the @DISEASE$ @CHEMICAL$. false +s4gSwgw92PjGb9IZnXkKFxuxrOw Patients who have or are at high risk for developing cardiovascular disease and who are taking @CHEMICAL$ for @DISEASE$ should receive routine cardiovascular event monitoring during the first 4 months of therapy. treats +shi7SkCDCmjZkmZMxbu5FDUzLgY His immunological work up showed normal level of immunoglobulins and @CHEMICAL$ White @DISEASE$ Cells subpopulations were normal. false +VA6keIZXd1cgPzWTa93ttXIRcl4 @CHEMICAL$ immunological work up showed normal level of immunoglobulins and his White @DISEASE$ Cells subpopulations were normal. false +rBFauQ7bx7UWdrKbrvLI1foTe-Q Decreased @CHEMICAL$ levels in the acute phase of @DISEASE$. false +uj0W8mkLZUHuy6uo7CcKmm1XN6s Cardiac involvement after liver transplantation in patients with @CHEMICAL$ transthyretin @DISEASE$ from Majorca focus. false +dHLbe1PABgxJG6HgvkcidmTz1B8 Frizzled-7-targeted delivery of @CHEMICAL$ nanoparticles to drug-resistant @DISEASE$ cells. treats +_iAnJ9rDHyLmFh6FAbO4Zhop3dM Frizzled-7-targeted delivery of @CHEMICAL$ to drug-resistant @DISEASE$ cells. treats +EigdhgyPzhJfvmhBKirECqdw0d4 @CHEMICAL$ alleviates dextran sulfate sodium-induced @DISEASE$ by inhibiting M1 macrophage polarization and regulating NLRP3 inflammasome and Nrf2/HO-1 signaling. treats +Afee2droYaqhaPsMuDkhtqKu49I We provide further evidence that CVI can help differentiate DLB from AD, and we suggest that CVI may be an @CHEMICAL$ of cognitive decline and @DISEASE$ progression in DLB. false +y8Nco5tu5EBfPaIZMEat0XwEQhE Circ-CDYL (chromodomain Y like) is specifically up-regulated in the early stages of HCC and therefore contributes to the properties of epithelial cell adhesion @CHEMICAL$ (EPCAM)-positive @DISEASE$ cells. false +WFgoz1y1Xwaoqjnx7FbbwyAJjrs Circ-CDYL (chromodomain Y like) is specifically up-regulated in the early stages of @DISEASE$ and therefore contributes to the properties of epithelial cell adhesion @CHEMICAL$ (EPCAM)-positive liver tumor-initiating cells. false +1SiW4IYy4JDyiA0h08vFLlq-rJw [An epidemiological characterization of patients with acute @DISEASE$ in a single Chilean hospital using diagnosis-related @CHEMICAL$ registers]. false +9ONK5i-E6RWYCt50A0DEahTTX8Q @DISEASE$ cells evade the immune system as well as @CHEMICAL$ and/or biologic treatments through inherent or acquired mechanisms of survival and drug resistance. treats +-lN0nHofSxwZota6M_UCZe5A2ZY @DISEASE$ cells evade the immune system as well as chemotherapeutic and/or biologic treatments through inherent or acquired mechanisms of survival and @CHEMICAL$ resistance. treats +AL-QNTRULepBnnFQfuXZuTuC8E0 @DISEASE$ cells evade the immune system as well as chemotherapeutic and/or @CHEMICAL$ treatments through inherent or acquired mechanisms of survival and drug resistance. treats +nwUNjUJ3qfpz84S5x83n6cYHcn4 @CHEMICAL$ (OX) is widely used for patients with advanced @DISEASE$ (CRC). treats +MgilwKyXNsE7Pk2-CEbIoXB6wAs To evaluate whether perfusion and diffusion parameters from staging MR in @DISEASE$ (OC) patients may predict the presence of @CHEMICAL$ tumor at surgery and the progression-free survival (PFS) in 12 months. false +8zvu_2DUtrIjlCGhKZL6uYr0vi4 To evaluate whether perfusion and diffusion parameters from staging MR in ovarian cancer (OC) patients may predict the presence of @CHEMICAL$ @DISEASE$ at surgery and the progression-free survival (PFS) in 12 months. false +etxLQRbXPfwVuBBfi_OKqkHprOk Neutrophil Gelatinase-Associated Lipocalin as an Early Diagnostic @CHEMICAL$ of @DISEASE$ in Snake Bite. false +Qhlis7d6efsyc23y_S5pH2keZf0 Higher increases in productivity were predicted for the Cu nanowire felt based on the mass-transport-limited current, but Cu @DISEASE$ reduction became charge transfer-limited on Cu @CHEMICAL$ felt at high concentrations and flow rates when the mass-transport-limited current became comparable to the charge transfer-limited current. false +OHN9bV105jZO79tA0QuRCWfPM3E Higher increases in productivity were predicted for the Cu @CHEMICAL$ felt based on the mass-transport-limited current, but Cu @DISEASE$ reduction became charge transfer-limited on Cu nanowire felt at high concentrations and flow rates when the mass-transport-limited current became comparable to the charge transfer-limited current. false +ru90mDvag8sJED3l0YRA86WYxPY Body length, body weight, @DISEASE$ factor, specific growth rate, and survival rate were all lower in @CHEMICAL$ A compared with the other groups, but there was no significant difference in any of the parameters between groups B and C. The accumulation of microplastics was similar in groups A and B, and the accumulation of heavy metals was similar in groups B and C. false +ECD-YVfwd9ixIT1PqSK37iHl8Qc @CHEMICAL$) Diphenylazodioxide Complexes Induce Apoptosis in @DISEASE$ Cells. false +LkiMfBn9IQMH8tjW0ANCFa3LbKc In this large prospective cohort analysis, higher serum @CHEMICAL$ was associated with increased risk of prostate cancer and lower risk of liver and @DISEASE$. treats +enccqfjy1yhew93z1tnV19g-p7c Future research should investigate the potential of @CHEMICAL$ in prevention/treatment of @DISEASE$. treats +ytVZoGjggoqxGfw0yg60efmwctY Patients receiving propofol had 10.4 times the risk of @DISEASE$ or dying during hospitalization compared with patients receiving fentanyl and/or @CHEMICAL$ (95% confidence interval, 2.9-37.3, false +Mybec_ltzDDzcD1d6fUIYJm3t00 Patients receiving @CHEMICAL$ had 10.4 times the risk of @DISEASE$ or dying during hospitalization compared with patients receiving fentanyl and/or midazolam (95% confidence interval, 2.9-37.3, false +_LScDsucsN7OU_PyVgSJ9uhx0tE Patients receiving propofol had 10.4 times the risk of @DISEASE$ or dying during hospitalization compared with patients receiving @CHEMICAL$ and/or midazolam (95% confidence interval, 2.9-37.3, false +P53I93tsatPt-GBvggJwSoBCfWA @CHEMICAL$ (nAg), which is one of the most @DISEASE$ manufactured nanomaterials, has a wide range of biomedical applications. false +PrYlwRBZJyFsjVniVmZOlITUAcg @DISEASE$ samples were collected weekly, and milk samples were obtained on days 3, 10 and 17 of @CHEMICAL$. false +gHKv3HzwUIGwH1Q7_arUKFu6Dg8 The course of @DISEASE$ (MM) from initial diagnosis to a relapsed/refractory state is characterized by acquisition of @CHEMICAL$ resistance as well as progressive immunologic dysfunction. treats +-ZInbmfpo4U2pnSErVoIHOklURM Furthermore, the liposome-based system we commenced would dramatically enhance therapeutic effects of @CHEMICAL$ while exhibiting extremely low side effects both on cellular and in @DISEASE$ model. treats +cTeXuW7w2X-ggb7dUq5BtFTU38E Herein, we report a pH and thermal @DISEASE$ bovine lactoferricin-loaded (one of the most widely studied cationic anticancer peptides) @CHEMICAL$, which simultaneously exhibited antitumor and immune cell activated effects when applied with microwave thermotherapy, an auxiliary method of immunotherapy. false +IRlpjAtp1FVZDUivv0AE-LOli5c Herein, we report a pH and thermal @DISEASE$ bovine lactoferricin-loaded (one of the most widely studied @CHEMICAL$ anticancer peptides) nanoparticles, which simultaneously exhibited antitumor and immune cell activated effects when applied with microwave thermotherapy, an auxiliary method of immunotherapy. false +WE5xx3pVRm3yaqGLXe3KoRgePxI Herein, we report a pH and thermal @DISEASE$ bovine lactoferricin-loaded (one of the most widely studied cationic anticancer @CHEMICAL$) nanoparticles, which simultaneously exhibited antitumor and immune cell activated effects when applied with microwave thermotherapy, an auxiliary method of immunotherapy. false +FIdWMrO5DSaBeJkn4c-yg123ZoQ @CHEMICAL$ aminopeptidase (FhLAP) and cathepsin L1 (@DISEASE$) of Fasciola hepatica play a critical role in parasite feeding, migration through host tissue, and immune evasion. false +YIPWtD1bfHwsu7qGvxXzEBiIcPg @DISEASE$ is a congenital disease with isolated @CHEMICAL$ deficiency or multiple anterior pituitary hormone deficiencies. treats +u7-z1mfOlMnI3M7P914VogT-j5k Pituitary stalk interruption syndrome is a congenital disease with isolated growth hormone deficiency or multiple anterior @DISEASE$ @CHEMICAL$ deficiencies. false +C9tmgr9DPBDBPLeOw81wMppwBsk Pituitary stalk interruption syndrome is a congenital @DISEASE$ with isolated growth hormone deficiency or multiple anterior pituitary @CHEMICAL$ deficiencies. false +pfaU2TJJ8_h_UsnfNmULVdFu8Uk Pituitary stalk interruption syndrome is a @DISEASE$ disease with isolated growth hormone deficiency or multiple anterior pituitary @CHEMICAL$ deficiencies. false +Pw32mR_ThxXOq-ogtMD7LkVwDGw Despite these significant changes, dietary @CHEMICAL$ supplementation had no effect on any measured read-outs of sublingual or forearm blood flow, even when environmental @DISEASE$ was experimentally reversed using supplemental oxygen. treats +cOgpIGzplHEur4OwpqUP9FTEsRk Despite these significant changes, dietary nitrate supplementation had no effect on any measured read-outs of sublingual or forearm @DISEASE$ flow, even when environmental hypoxia was experimentally reversed using supplemental @CHEMICAL$. false +8Hpryd6Viw45h6S-uZDm9ePYEA8 Thus, this work provides strong support for the development of combinatorial therapies involving anti-CTLA-4 blockade and ICOS @CHEMICAL$ @DISEASE$ agents. false +hPvTRytW5pbcZJSh-7F2mrxVkQ0 A neglected case of congenital glaucoma can @CHEMICAL$ to @DISEASE$ along with lens coloboma. false +Iz7yxmAWD3JYbzisuSAarjPoKEU A neglected case of congenital glaucoma can @CHEMICAL$ to lens subluxation along with lens @DISEASE$. false +i0iPrkDrd2VxnRgQAcMf3Q6svgo A neglected case of @DISEASE$ can @CHEMICAL$ to lens subluxation along with lens coloboma. false +vqgSUgAwegdIv8ehuKzlALXBWtA Postoperative progression of hyperextension of the first @DISEASE$ joint was significantly reduced in the ECRL @CHEMICAL$. false +r6Yj99gWY2clm3MPBy4dfnHvfaM Liver cirrhosis nodules mostly showed a @CHEMICAL$ of strong and weak echoes (79.60%; 7637/9595) without @DISEASE$ flow signal within or around the nodule; an increased volume of the nodule accompanied by heterogeneous echoes within the nodule indicated an increased probability of malignant lesion. false +VF0L0CxTk_qe8UiZm6ETha7kxB8 Liver @DISEASE$ nodules mostly showed a @CHEMICAL$ of strong and weak echoes (79.60%; 7637/9595) without blood flow signal within or around the nodule; an increased volume of the nodule accompanied by heterogeneous echoes within the nodule indicated an increased probability of malignant lesion. false +FMdQ3cdO-xMCt6r54jGs8kZcuGg We then established @CHEMICAL$ interaction networks of the overlapped targets and isolated the hub genes by 11 algorithms based on the topological structure of the networks, including Sdc4, Vegfa, and Cp in the Cortex-Adult subgroup, Gria1 in the Cortex-Juvenile subgroup, and Kdr, S1pr1, Ubc, Grm2, Grin2b, Nrxn1, Pdyn, Grin3a, Itgam, Grin2a, Gabra2, and Camk4 in the Hippocampus-Adult subgroup, many of which have been associated with @DISEASE$ in previous studies. false +Ha_BVtPEuaPC3RMtQ_0BTtevxOE Among these genes, two up-regulated genes were reported with involvement in @CHEMICAL$ metabolism in the liver, implying the direct effect of feed-induced @DISEASE$ on both the rumen microbial community and liver metabolism. false +XenIyEDZfzdLzf-CCR7IQnU4Rwg To systematically review the minimal clinically important difference (MCID) and patient acceptable symptom state (PASS) estimates in pain and function measured using the Western Ontario and McMaster Universities @DISEASE$ Index (WOMAC) in patients who underwent primary total knee replacement (TKR) and primary total hip replacement (@CHEMICAL$). false +3JkA_4ymz9LNY1wk7GGDIFNcE2E Based on our bioinformatic and placental biochemical analyses, we concluded that maternal @DISEASE$ is associated with abnormal @CHEMICAL$ and lipid metabolism, mitochondrial dysfunction, decreased steroid hormone biosynthesis, and increased oxidative stress and inflammation in the placenta. false +-_OC15c60KI4hXjme8wRnILXrVU Based on our bioinformatic and placental biochemical analyses, we concluded that maternal @DISEASE$ is associated with abnormal carbohydrate and lipid metabolism, mitochondrial dysfunction, decreased steroid @CHEMICAL$ biosynthesis, and increased oxidative stress and inflammation in the placenta. false +j-wcmHGo88bHnPPK3uS1MHIH078 Based on our bioinformatic and placental @CHEMICAL$ analyses, we concluded that maternal @DISEASE$ is associated with abnormal carbohydrate and lipid metabolism, mitochondrial dysfunction, decreased steroid hormone biosynthesis, and increased oxidative stress and inflammation in the placenta. false +FbG6dTAxWxaaHPmbAFqp6hvNk3w Based on our bioinformatic and placental biochemical analyses, we concluded that maternal @DISEASE$ is associated with abnormal carbohydrate and lipid metabolism, mitochondrial dysfunction, decreased @CHEMICAL$ biosynthesis, and increased oxidative stress and inflammation in the placenta. false +OpBfPMnZhTYwhYBhPttcHcSOMz0 Based on our bioinformatic and placental biochemical analyses, we concluded that maternal @DISEASE$ is associated with abnormal carbohydrate and lipid metabolism, mitochondrial dysfunction, decreased steroid hormone biosynthesis, and increased @CHEMICAL$ stress and inflammation in the placenta. false +yeH_oavUK7LhXKLSwUieVmEE8CU Based on our bioinformatic and placental biochemical analyses, we concluded that maternal @DISEASE$ is associated with abnormal carbohydrate and @CHEMICAL$ metabolism, mitochondrial dysfunction, decreased steroid hormone biosynthesis, and increased oxidative stress and inflammation in the placenta. false +5btFv8wxFwxNZ8kc7rZgO5iBDOY The aim of this study was to evaluate the clinicopathological significance and prognostic role of programmed death-1 @CHEMICAL$ 2 (PD-L2) expression in @DISEASE$ according to intratumoral components. false +0vTKJxDRrNjIGaGFPaU8M1U8HQo With the advancement of @CHEMICAL$ and genetic tools, our comprehension of the intracellular signals activated in bone cells has evolved significantly, from early suggestions that osteoblasts and osteoclasts have @DISEASE$ precursors and that osteocytes are inert cells in the bone matrix, to the very sophisticated understanding of a network of receptors, ligands, intracellular kinases/phosphatases, transcription factors, and cell-specific genes that are known today. false +nntzIEshmxE4RV5ynTijtCBeGVE These cases of 'non-specific' pleuritis need to be followed up for at least one year, as 10-15% of them will eventually @CHEMICAL$ to the diagnosis of cancer, typically @DISEASE$. false +Cam1YfNdLxofOsn43Lc8L3m3znM These cases of 'non-specific' @DISEASE$ need to be followed up for at least one year, as 10-15% of them will eventually @CHEMICAL$ to the diagnosis of cancer, typically malignant pleural mesothelioma. false +hp-RKgS6ef9awtn3Vv5u4a-xJOo These cases of 'non-specific' pleuritis need to be followed up for at least one year, as 10-15% of them will eventually @CHEMICAL$ to the diagnosis of @DISEASE$, typically malignant pleural mesothelioma. false +rjS64aubNJeENqEroTVgTyEoyeM @CHEMICAL$ signaling increases hepatic glucose output, and hyperglucagonemia is partly responsible for the hyperglycemia in @DISEASE$ making glucagon an attractive target for therapeutic intervention. false +CV8crF6ed4UX1qIKnVYWdDuA1oE Glucagon signaling increases hepatic glucose output, and hyperglucagonemia is partly responsible for the hyperglycemia in @DISEASE$ making @CHEMICAL$ an attractive target for therapeutic intervention. false +nPfAcqbIFljzAo9XVyD-At8bAXI Glucagon signaling increases hepatic @CHEMICAL$ output, and hyperglucagonemia is partly responsible for the @DISEASE$ in diabetes making glucagon an attractive target for therapeutic intervention. false +NnNgpFarmbKejZ5FAWlqAlWJshs Glucagon signaling increases hepatic glucose output, and hyperglucagonemia is partly responsible for the @DISEASE$ in diabetes making @CHEMICAL$ an attractive target for therapeutic intervention. false +K3H403L2Xh31C27TWsB7Ttv-VpU Glucagon signaling increases hepatic @CHEMICAL$ output, and hyperglucagonemia is partly responsible for the hyperglycemia in @DISEASE$ making glucagon an attractive target for therapeutic intervention. false +wv4qbREvrW5lWL0LmJY3cDxXpLU @CHEMICAL$ signaling increases hepatic glucose output, and hyperglucagonemia is partly responsible for the @DISEASE$ in diabetes making glucagon an attractive target for therapeutic intervention. false +GJgxQo-I451CqsCBCPO6SVqRGug Evaluation of topical human platelet lysate versus topical @CHEMICAL$ in management of @DISEASE$ in rheumatoid arthritis patients: Randomized-controlled clinical trial. treats +8szdatXoCmP7jm9YjD3OoJwwg5U Evaluation of topical human platelet lysate versus topical @CHEMICAL$ in management of methotrexate-induced @DISEASE$ in rheumatoid arthritis patients: Randomized-controlled clinical trial. treats +Z9CqnNYQT26F7ALLr4i4MPhIKf4 Demographics, drinking measures (Timeline followback past 90 days (TLFB90), @CHEMICAL$ Use Disorders Identification Test (AUDIT)), and alcohol hangover scale (@DISEASE$ were analyzed. false +q9DmgHMbJtH6zzzDwsCGsX88Lo4 Demographics, drinking measures (Timeline followback past 90 days (TLFB90), @CHEMICAL$ Use @DISEASE$ Identification Test (AUDIT)), and alcohol hangover scale (AHS) were analyzed. false +66LlnpBGzgRPyF1o0woIRxxxa7M Demographics, drinking measures (Timeline followback past 90 days (TLFB90), Alcohol Use Disorders Identification Test (AUDIT)), and @CHEMICAL$ hangover scale (@DISEASE$ were analyzed. false +a8Gr_Rp2ok2qtTjVN40LLsfOMCU Demographics, drinking measures (Timeline followback past 90 days (TLFB90), Alcohol Use @DISEASE$ Identification Test (AUDIT)), and @CHEMICAL$ hangover scale (AHS) were analyzed. false +uZNN7pOczxVejqtIfHj_xloUHOo This study was a retrospective analysis of patients who underwent endoscopic hemispherotomy for @CHEMICAL$ @DISEASE$. false +wtJLHOYqKCK_SVCrWAUsS_Q_feo Using aspiration and pharyngeal @CHEMICAL$, the objective of this study was to elucidate the efficacy of the three screening tests performed by non-experts in patients who had swallowing @DISEASE$. false +TCtd7sGUfEELpJvWRcLr9Hym-RU In light of the recommendation of @CHEMICAL$ supplementation in @DISEASE$, with possible supratherapeutic dosing and associated side effects, we performed this study to investigate serum folate levels in children with chronic hemolytic anemia. treats +5mvV4L8Zd5Li1mAOwvs6bnPUJw8 In light of the recommendation of folic acid supplementation in chronic hemolytic anemia, with possible supratherapeutic dosing and associated side effects, we performed this study to investigate serum @CHEMICAL$ levels in children with chronic @DISEASE$. false +DAhjDBjHW91blPHE38jar0o-9rw @CHEMICAL$ Effects of Kamishoyosan through 5-HT1AReceptor and PKA-CREB-BDNF Signaling in the Hippocampus in Postmenopausal @DISEASE$ Mice. false +hOfL77PiaTUbKxCNrIGfbFuXKiI HR HPV genotyping and virus quantification was performed on 101 residual anal @CHEMICAL$ test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 high-grade @DISEASE$) using multiplex real-time polymerase chain reaction. false +E88S3uf9weLRkQVrcRvI2GlTjtw HR HPV genotyping and virus quantification was performed on 101 residual anal @CHEMICAL$ test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade @DISEASE$, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +H6D09IehvnqKBzlpgT6Wanv0x24 HR HPV genotyping and virus quantification was performed on 101 @CHEMICAL$ anal Pap test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 @DISEASE$ squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +ZEaNduMH82HHQbJZcJSFKIreGqg HR HPV genotyping and virus quantification was performed on 101 residual anal @CHEMICAL$ test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 @DISEASE$ squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +vQKXYmg7lE25b-NyFmCswFli4Ds HR HPV genotyping and virus quantification was performed on 101 @CHEMICAL$ anal Pap test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 @DISEASE$ squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +R_pvnuI784akxWKru6kBClBP9Lc HR HPV genotyping and virus quantification was performed on 101 @CHEMICAL$ anal Pap test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude @DISEASE$ squamous intraepithelial lesion, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +iFmIBFKKfwWRtm5Mh9GO4Cw6z1M HR HPV genotyping and virus quantification was performed on 101 @CHEMICAL$ anal Pap test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade @DISEASE$ [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +ZGdfOQd8V8oIg-XzjJevDx3ba38 HR HPV genotyping and virus quantification was performed on 101 residual anal @CHEMICAL$ test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 @DISEASE$ squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +7CM3PGYzhIxrnrstk4HQYaPPMPM HR HPV genotyping and virus quantification was performed on 101 residual anal @CHEMICAL$ test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude @DISEASE$ squamous intraepithelial lesion, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +nvK4t01eqg_LIaczCUA2Mf946ZE HR HPV genotyping and virus quantification was performed on 101 @CHEMICAL$ anal Pap test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 high-grade @DISEASE$) using multiplex real-time polymerase chain reaction. false +RZ6NHs9AY2yvMBzr6h_3DTWVFZk HR HPV genotyping and virus quantification was performed on 101 residual anal @CHEMICAL$ test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade @DISEASE$ [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade squamous intraepithelial lesion, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +u-7iLy5CN4aUE0b3DzkAYHJ3AgI HR HPV genotyping and virus quantification was performed on 101 @CHEMICAL$ anal Pap test samples (28 negative, 25 atypical squamous cells of undetermined significance [ASC], 34 low-grade squamous intraepithelial lesion [LSIL], 6 atypical squamous cells of undetermined significance, cannot exclude high-grade @DISEASE$, and 8 high-grade squamous intraepithelial lesion) using multiplex real-time polymerase chain reaction. false +beUN90yKKUM4JdGH_Ep0hTeEHZ4 In this study, we successfully prepared a porous hydroxyapatite (HA) scaffold that is functionalized by @CHEMICAL$)/polydopamine (@DISEASE$) hybrid coating. false +vFSb-JI_1pJGmoQJxxPMdPHyviY Our results do not fit a simple pattern of enhanced gambling distortions or reward @DISEASE$, but help contextualise the effects of @CHEMICAL$ on gambling to research on decision-making biases. false +ReLehJ-OVdIgYfE9Kcdf1-nG_xM Listeria innocua strain @DISEASE$ was used to compare the inhibitory activity of two bacteriocins (nisin A and pediocin AcH) in a decontamination process consisting of soaking artificially contaminated pieces of raw pork meat in a @CHEMICAL$ solution before they were ground and stored aerobically at 5°C. false +CHz_EBCYaOH6-gANTHD17E_sL-Y Listeria innocua strain @DISEASE$ was used to compare the inhibitory activity of two bacteriocins (@CHEMICAL$ A and pediocin AcH) in a decontamination process consisting of soaking artificially contaminated pieces of raw pork meat in a bacteriocin-containing solution before they were ground and stored aerobically at 5°C. false +67Qc5kZr2gN6OoGJkxny_anLITM Listeria innocua strain @DISEASE$ was used to compare the inhibitory activity of two bacteriocins (nisin A and pediocin AcH) in a decontamination process consisting of soaking artificially contaminated pieces of raw pork meat in a bacteriocin-containing @CHEMICAL$ before they were ground and stored aerobically at 5°C. false +6GGon_txKdgBfDAfTBCgiMcoi5k Listeria innocua strain @DISEASE$ was used to compare the inhibitory activity of two @CHEMICAL$ (nisin A and pediocin AcH) in a decontamination process consisting of soaking artificially contaminated pieces of raw pork meat in a bacteriocin-containing solution before they were ground and stored aerobically at 5°C. false +fshxc1h7Sw7DnHXIPW_qmRpohPA Towards regulatory endorsement of drug development tools to promote the application of model-informed @CHEMICAL$ development in @DISEASE$. treats +W0b3d_0v-yUcX2L2e2u0EcOdZuc TUG score increased with greater AD spectrum severity (all p < 0.001), whereas OLST score showed a precipitous impairment starting in the @DISEASE$ @CHEMICAL$ (all p < 0.001), even after adjusting for age, sex, MMSE-KC, Geriatric depression scale, and body mass index. false +OzbldnlU-wbd3kom-phcETbNv-E TUG score increased with greater AD spectrum severity (all p < 0.001), whereas OLST score showed a precipitous impairment starting in the SCD @CHEMICAL$ (all p < 0.001), even after adjusting for age, sex, MMSE-KC, Geriatric @DISEASE$ scale, and body mass index. false +WJ-Xg0xMrhab53HCAPeFORxRQp0 The present systematic review and meta-analysis of randomized controlled trials aimed to determine the effectiveness of hesperidin supplementation in improving @DISEASE$ @CHEMICAL$ control in adults. false +FYMg8d0CEX7zt4-Ku7V4IKdzcro The present systematic review and meta-analysis of randomized controlled trials aimed to determine the effectiveness of @CHEMICAL$ supplementation in improving @DISEASE$ glucose control in adults. false +TSXeOL-M4Iux92Iz0MkWUd8SOBM Fine air pollution particles induce endothelial senescence via @DISEASE$ activation of local @CHEMICAL$ system. false +54RqySgen0Twlh_NOym37fBm_Dg Fine @DISEASE$ pollution particles induce endothelial senescence via redox-sensitive activation of local @CHEMICAL$ system. false +7EhmKnhbBeqx2Ew3wuDBAmQwlW8 We developed and annotated @DISEASE$ transcriptomes from six reptile species and found on average 25,000 proteins are being transcribed in the blood, and there is a CORE @CHEMICAL$ of 9,282 orthogroups that are found in at least four of six species. false +Wj6g_tzJOibeNutk_jUNEJ0zZzk We developed and annotated blood transcriptomes from six reptile species and found on average 25,000 @CHEMICAL$ are being transcribed in the @DISEASE$, and there is a CORE group of 9,282 orthogroups that are found in at least four of six species. false +gWH_r29b_cLCcqR9XFST1ic2eNw We developed and annotated @DISEASE$ transcriptomes from six reptile species and found on average 25,000 @CHEMICAL$ are being transcribed in the blood, and there is a CORE group of 9,282 orthogroups that are found in at least four of six species. false +qhMhPpt5IrQY41LhqNnptKIVrWk We developed and annotated blood transcriptomes from six reptile species and found on average 25,000 proteins are being transcribed in the @DISEASE$, and there is a CORE @CHEMICAL$ of 9,282 orthogroups that are found in at least four of six species. false +g0zfl0aY_7fESi5sveZ9FgVW7fA The presence of HCl induced @DISEASE$ interactions involving chloride ions, adsorbed on gold surfaces, and both the @CHEMICAL$ N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +A30xC4a50LOLzVn7oOWFZ3O2HHg The presence of @DISEASE$ induced @CHEMICAL$ interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +4bSTCHqz83RZ3fa8Z28xJR82tds The presence of HCl induced @DISEASE$ interactions involving chloride ions, adsorbed on @CHEMICAL$ surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +iomzw2s9EZ33XAqkZexCl-rR6ck The presence of @DISEASE$ induced ion-pair interactions involving chloride ions, adsorbed on @CHEMICAL$ surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +P1B8ExF8iJoLITg29u969wQP5wU The presence of HCl induced @DISEASE$ interactions involving @CHEMICAL$ ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +aBDx1GuPJtB78VHljvZC3OtFzaU The presence of @DISEASE$ induced ion-pair interactions involving @CHEMICAL$ ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +dzFz2Ryk8QcYQseEQKV7dm0iBrE The presence of @DISEASE$ induced ion-pair interactions involving chloride ions, adsorbed on gold surfaces, and both the @CHEMICAL$ N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +2ELin6ZbfXb6XAYy6uYYKIaigiA The presence of HCl induced @DISEASE$ interactions involving chloride @CHEMICAL$, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +EDzXvNDYjr_z2Buyfp_kQ_12KgY The presence of HCl induced @DISEASE$ interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the @CHEMICAL$ moiety. false +41-06JwyvIaEFCKMGZEP25FbHz8 The presence of HCl induced @DISEASE$ interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the @CHEMICAL$ of the glutamic acid moiety. false +l8v6TNDZr-bSsXZQqrwayjZJBgc The presence of @DISEASE$ induced ion-pair interactions involving chloride @CHEMICAL$, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the glutamic acid moiety. false +aVJPoaPaFgPrQN2RoYyCc7zMuvg The presence of HCl induced @DISEASE$ interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the @CHEMICAL$ ring and the γ-carboxylic acid of the glutamic acid moiety. false +h38LKrBUM_7NqiuZOAXXBzSLzjI The presence of @DISEASE$ induced ion-pair interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the @CHEMICAL$ of the glutamic acid moiety. false +M_NBFmziZUAlsTCLBIDPNtTSaCQ The presence of @DISEASE$ induced ion-pair interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the pteridine ring and the γ-carboxylic acid of the @CHEMICAL$ moiety. false +hwUP_Xn2g7Jn7bLN2rQDl8RaJC4 The presence of @DISEASE$ induced ion-pair interactions involving chloride ions, adsorbed on gold surfaces, and both the nitrogen N1 of the @CHEMICAL$ ring and the γ-carboxylic acid of the glutamic acid moiety. false +Ko2uNEyAcFKi9K2AumdU-e3xGmI The advent of anchored multiplex PCR/targeted @CHEMICAL$ next-generation sequencing (AMP/RNA-seq) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex sarcoma panel analysis by AMP/RNA-seq to detect disease-defining gene fusions in 16 cases of @DISEASE$ in which prior diagnostic work-up could not establish a definitive diagnosis. false +eTaOUgkYjLI-HKzDrOYQO3U8Fsg The advent of anchored multiplex PCR/targeted RNA next-generation sequencing (AMP/RNA-seq) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex sarcoma panel analysis by @CHEMICAL$ to detect disease-defining gene fusions in 16 cases of @DISEASE$ in which prior diagnostic work-up could not establish a definitive diagnosis. false +IXQq_GB9E1g8-kc85K9Ffghh638 The advent of anchored multiplex PCR/targeted @CHEMICAL$ next-generation sequencing (AMP/RNA-seq) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex sarcoma panel analysis by AMP/RNA-seq to detect @DISEASE$ gene fusions in 16 cases of undifferentiated round cell sarcoma in which prior diagnostic work-up could not establish a definitive diagnosis. false +4o6IHumK_hz-7Q0iqBlAnTgOzTA The advent of anchored multiplex PCR/targeted RNA next-generation sequencing (@CHEMICAL$) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex sarcoma panel analysis by AMP/RNA-seq to detect @DISEASE$ gene fusions in 16 cases of undifferentiated round cell sarcoma in which prior diagnostic work-up could not establish a definitive diagnosis. false +xf121VT0AgqiZv_8WgOhIflruVY The advent of anchored multiplex PCR/targeted RNA next-generation sequencing (AMP/RNA-seq) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex @DISEASE$ panel analysis by @CHEMICAL$ to detect disease-defining gene fusions in 16 cases of undifferentiated round cell sarcoma in which prior diagnostic work-up could not establish a definitive diagnosis. false +A16bJgwShKt1hVp26s7xrTqiWSE The advent of anchored multiplex PCR/targeted RNA next-generation sequencing (@CHEMICAL$) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex sarcoma panel analysis by AMP/RNA-seq to detect disease-defining gene fusions in 16 cases of @DISEASE$ in which prior diagnostic work-up could not establish a definitive diagnosis. false +AT1kO0fAjgzXWSSuFe2XoLKtXVw The advent of anchored multiplex PCR/targeted RNA next-generation sequencing (@CHEMICAL$) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex @DISEASE$ panel analysis by AMP/RNA-seq to detect disease-defining gene fusions in 16 cases of undifferentiated round cell sarcoma in which prior diagnostic work-up could not establish a definitive diagnosis. false +qNxH2P3eN4kuoynFAGEUxBQNj00 The advent of anchored multiplex PCR/targeted RNA next-generation sequencing (AMP/RNA-seq) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex sarcoma panel analysis by @CHEMICAL$ to detect @DISEASE$ gene fusions in 16 cases of undifferentiated round cell sarcoma in which prior diagnostic work-up could not establish a definitive diagnosis. false +1A0NnGhCB-x1MKErHKfKsq9bIyE The advent of anchored multiplex PCR/targeted @CHEMICAL$ next-generation sequencing (AMP/RNA-seq) has allowed for the development of scalable platforms that can simultaneously examine multiple fusion transcripts without prior knowledge of specific fusion partners.In this study, we assess the utility of a FusionPlex @DISEASE$ panel analysis by AMP/RNA-seq to detect disease-defining gene fusions in 16 cases of undifferentiated round cell sarcoma in which prior diagnostic work-up could not establish a definitive diagnosis. false +Td3wETaZjQqyRh6F86Jvt9DhCqU Treatment of @DISEASE$ is primarily combined surgery with various @CHEMICAL$. treats +NKh4-Z-6tJHNoXw-w_v3WoBb0kk @CHEMICAL$ Suppresses 2-Amino-1-Methyl-6-Phenylimidazo [4,5-b] Pyridine (PhIP)-Induced Human 786-O @DISEASE$ Osteoclastogenic Activity and Metastatic Potential. treats +3ArVcnmGYQ_Bwa-F-hP2cPc8-Yo Long noncoding @CHEMICAL$ 91H overexpression contributes to the growth and metastasis of @DISEASE$ by epigenetically positively regulating IGF2 expression. false +d4x3YhpJsrldlvIEe4aQt6lRc9Y Long noncoding RNA 91H overexpression contributes to the growth and metastasis of @DISEASE$ by epigenetically positively regulating @CHEMICAL$ expression. false +57aCuKChDmlsinSvc56US_RI7QU This findings provide a basis for understanding the role of HPA axis in @DISEASE$, especially its regulation by NR3C1 DNA @CHEMICAL$. false +DXOuCdp9bnaH7r-v7QT4uYp2jpk This findings provide a basis for understanding the role of HPA axis in @DISEASE$, especially its regulation by NR3C1 @CHEMICAL$ methylation. false +8XwlLqPXt_CEY1BojCsE099vMIc There were 27,369 subjects aged 20 to 84 years with newly diagnosed @DISEASE$ from 2000 to 2012 as the diabetes mellitus @CHEMICAL$ and 107,705 sex- and age-matched subjects without diabetes mellitus as the nondiabetes mellitus group. false +I7RH1PBAAMROqqCCAo-ff6mlfW4 There were 27,369 subjects aged 20 to 84 years with newly diagnosed diabetes mellitus from 2000 to 2012 as the diabetes mellitus @CHEMICAL$ and 107,705 sex- and age-matched subjects without @DISEASE$ as the nondiabetes mellitus group. false +_BZL71lk-5EhUuZ7F1xIeR49EZ0 There were 27,369 subjects aged 20 to 84 years with newly diagnosed @DISEASE$ from 2000 to 2012 as the diabetes mellitus group and 107,705 sex- and age-matched subjects without diabetes mellitus as the nondiabetes mellitus @CHEMICAL$. false +DbvWAZb41IoVQh9l8a0SHOqJtTk There were 27,369 subjects aged 20 to 84 years with newly diagnosed diabetes mellitus from 2000 to 2012 as the diabetes mellitus group and 107,705 sex- and age-matched subjects without @DISEASE$ as the nondiabetes mellitus @CHEMICAL$. false +4_8VJrTwGlcR3huFoP8lrZMU5sw There were 27,369 subjects aged 20 to 84 years with newly diagnosed diabetes mellitus from 2000 to 2012 as the @DISEASE$ group and 107,705 sex- and age-matched subjects without diabetes mellitus as the nondiabetes mellitus @CHEMICAL$. false +_5uXNaR_EGUmiCwmd3c3YwHzXEo There were 27,369 subjects aged 20 to 84 years with newly diagnosed diabetes mellitus from 2000 to 2012 as the @DISEASE$ @CHEMICAL$ and 107,705 sex- and age-matched subjects without diabetes mellitus as the nondiabetes mellitus group. false +CnaOKmmd-tskoSaBoR8OLLYOtm0 To analyse persistence and adherence in patients with @DISEASE$ receiving first-line treatment with subcutaneous glatiramer acetate 20 mg (GA), subcutaneous interferon β1a (IFNβ1a-sc), intramuscular interferon β1a (IFNβ1a-im) and subcutaneous @CHEMICAL$ (IFNβ1b-sc) and to identify associated factors and reasons for discontinuation. treats +YzS8GfVwbn91JeKMd2eg8ya9WjU To analyse persistence and adherence in patients with @DISEASE$ receiving first-line treatment with subcutaneous @CHEMICAL$ 20 mg (GA), subcutaneous interferon β1a (IFNβ1a-sc), intramuscular interferon β1a (IFNβ1a-im) and subcutaneous interferon β1b (IFNβ1b-sc) and to identify associated factors and reasons for discontinuation. treats +IoOpzIgKp4j-usJRARw1ur2nubs To analyse persistence and adherence in patients with @DISEASE$ receiving first-line treatment with subcutaneous glatiramer acetate 20 mg (GA), subcutaneous @CHEMICAL$ (IFNβ1a-sc), intramuscular interferon β1a (IFNβ1a-im) and subcutaneous interferon β1b (IFNβ1b-sc) and to identify associated factors and reasons for discontinuation. treats +Y5Apj0wAi7Ah9FgztAleLiCIxVc To analyse persistence and adherence in patients with @DISEASE$ receiving first-line treatment with subcutaneous glatiramer acetate 20 mg (GA), subcutaneous interferon β1a (IFNβ1a-sc), intramuscular @CHEMICAL$ (IFNβ1a-im) and subcutaneous interferon β1b (IFNβ1b-sc) and to identify associated factors and reasons for discontinuation. treats +dBcPJOerwlCV2Km_b1c01ACYkro A novel @CHEMICAL$ of trefoil factor 3 (TFF3) potentiates MEK1/2 inhibition in @DISEASE$. treats +mNOkwMVuE4faqKJYB2jBteyiQNo ATI in macaques that initiated ART during early SHIV-1157ipd3N4 infection was associated with mild, @DISEASE$ T-cell infiltrate in the brain without detectable @CHEMICAL$ in the brain or CSF, or elevation in CSF soluble markers of inflammation. false +u1mGxncPdswfrtmtQ2S9pnjsBjc ATI in macaques that initiated ART during early SHIV-1157ipd3N4 @DISEASE$ was associated with mild, localized T-cell infiltrate in the brain without detectable @CHEMICAL$ in the brain or CSF, or elevation in CSF soluble markers of inflammation. false +QWU2-y3gjPgbLW6SNCpYmbQi9VA ATI in macaques that initiated ART during early @DISEASE$ infection was associated with mild, localized T-cell infiltrate in the brain without detectable @CHEMICAL$ in the brain or CSF, or elevation in CSF soluble markers of inflammation. false +waO22KP4FusHeCLAMdjZJuEfeFY Concentrations of @CHEMICAL$ in pre-dose samples in patients with @DISEASE$. treats +dXzi8cCnzFJKS8iw7TRpmnFG7JU In particular, the excessive and @CHEMICAL$ ER stress response and inhibition of autophagy, as a result of prolonged HFD exposure, were significantly corrected by @DISEASE$ administration, indicating a switch of the cellular fate in favor of cell survival. false +jSsnbrhRT8VJ9efb8xCC2vy53nw The @DISEASE$ electrophilic feature for the terminal nitrogen of α-diazo-β-ketoesters/ketones has been elucidated by the intermolecular nucleophilic addition of two molecules of a dimethylsulfonium @CHEMICAL$. false +ILsapsHNLvjsEJiBft_j_9Jp3Fk The @DISEASE$ electrophilic feature for the terminal nitrogen of @CHEMICAL$ has been elucidated by the intermolecular nucleophilic addition of two molecules of a dimethylsulfonium ylide. false +1u1KYhGC83t7S9vFhC7QykBwqWc The @DISEASE$ electrophilic feature for the terminal @CHEMICAL$ of α-diazo-β-ketoesters/ketones has been elucidated by the intermolecular nucleophilic addition of two molecules of a dimethylsulfonium ylide. false +TTNFmssRPRSN83SUZncApSSWF6c In this article, a kind of superhydrophobic film consisting of amorphous @CHEMICAL$ nano-particles was synthesized on @DISEASE$ glass by the ethanol-flame synthesis method. false +Hq3be3zNFEKElF4L-bc7XQdYU_A In this article, a kind of superhydrophobic film consisting of amorphous carbon nano-particles was synthesized on @DISEASE$ glass by the @CHEMICAL$ synthesis method. false +SfBmd0Xa9SiwiKA9WETLsuUKVPg The aim of this review was to systematically evaluate the efficacy and safety of low-dose @CHEMICAL$ for patients with @DISEASE$ treats +lVh-Bf1NQWkSlgebUYpBProKQ3U Plaque measurements were more highly associated with the densities of cagA-positive H. pylori within coronary atheromas than with the densities of gastric organisms, whereas plasma @CHEMICAL$ changes were associated with H. pylori @DISEASE$, but not cagA status. false +FImj4mr-_HVOPMWdU0h0vCcXXzk This study compared spectroscopy-measured levels of GABA and Glx (glutamine and @CHEMICAL$ complex) in visual cortex between 16 people with @DISEASE$ and 16 non-headache controls, and assessed whether the concentration of these neurochemicals explains, at least partially, inter-individual variability in binocular rivalry perceptual measures. false +oMoCgZOZIuRiKCAU__HklTpRzOM This study compared spectroscopy-measured levels of GABA and Glx (@CHEMICAL$ and glutamate complex) in visual cortex between 16 people with @DISEASE$ and 16 non-headache controls, and assessed whether the concentration of these neurochemicals explains, at least partially, inter-individual variability in binocular rivalry perceptual measures. false +3ne_q8LobRuIIOwU1AFhavmAsU0 The results of the meta-analysis showed that compared with the control @CHEMICAL$, significant effects of aerobic exercise were observed on reducing systolic @DISEASE$ pressure (SBP) (mean difference [MD] = -12.26 false +ReOK5x2HVLfJ7b_ScJn7RqeDgrU Efficacy of @CHEMICAL$ for @DISEASE$ caused by chemotherapy in patients with cholangiocarcinoma. treats +ceoaW9azl_wK3ur0WJJKDInyxq8 The @CHEMICAL$ (KYN) pathway is associated with osteoblastogenesis and can be linked to the pathophysiology of @DISEASE$. false +OBNGTSDOv1OG5038P2pZgVCdC20 It also learns an inverse transformation such that cycle @CHEMICAL$ PET image generated from the @DISEASE$ is close to true NAC PET image. false +FOdNo0-SwLDQfl0hAL7EM1IE2u8 It also learns an inverse transformation such that cycle NAC PET image generated from the @DISEASE$ is close to true @CHEMICAL$ PET image. false +MjOlqt9VyP_NKQiekJm-f2FIEAE The second sample, 23 subjects, with the same characteristics and without any @DISEASE$, was the control @CHEMICAL$ (CG). false +lsTTz467J3VWsHW7WedNWL2C3eE Prevalence of the @DISEASE$ (MetS) and clinical and @CHEMICAL$ cardiovascular risk factors. false +zItICnfC-O9aYSe0Jfw3XTOfNjo Chrysohoou et al. fifteen years ago, showed in an elegant analysis nested within the ATTICAstudy [1] that a dietary score reflecting adherence to the traditional Mediterranean diet (MedDiet) wasinversely associated with plasma @CHEMICAL$ of @DISEASE$ inflammation [...]. false +qqGxh3OFxV8DOp_EQ0CAem_5Ib8 Discussion: Flap @DISEASE$ @CHEMICAL$ as a Sensitive and Specific Indicator for Flap Venous Congestion: A Rodent Model Study. false +uVo0RkJ9I7plsZSkW_0siRJHKVo Discussion: Flap Blood @CHEMICAL$ as a @DISEASE$ and Specific Indicator for Flap Venous Congestion: A Rodent Model Study. false +SPzjh0RINee3-AGFxIDCTpBLHAw A systematic analysis of the literature indicates that the partial @CHEMICAL$ (PN/AMX) process is still actively studied as a viable option for energy-efficient and feasible technology for the sustainable treatment of N- @DISEASE$ wastewaters, since its initial discovery in 1990. false +-ws_39krO8Pwe_84fCdGlWG0fPc Low fermentable @CHEMICAL$, disaccharides, monosaccharides, and polypols diet and @DISEASE$ in Asia. false +AyLddfDLHoFYef8POfctE3FLmpI Low fermentable oligosaccharides, @CHEMICAL$, monosaccharides, and polypols diet and @DISEASE$ in Asia. false +CSncWvygGgPjPBYtPlsnBuLDrBc Low fermentable oligosaccharides, disaccharides, @CHEMICAL$, and polypols diet and @DISEASE$ in Asia. false +9dD10wz5QWoKg9He6wkVr3sqGwQ Regression analyses further revealed that this could be most strongly linked to plasma CrP levels, which independently predicted hypothalamic FA values when adjusting for age, sex, @CHEMICAL$ mass, and @DISEASE$ diagnosis. false +GkzCDE1vCL7J8HRE8wU77ZF_JkQ In a patient who had previously been treated with @CHEMICAL$ and estradiol, semen analysis revealed persistent @DISEASE$ for the 4 months leading up to orchiectomy after discontinuation of both medications. false +gZrh3cosNYgNf0VDda5Bor31HdY In a patient who had previously been treated with spironolactone and @CHEMICAL$, semen analysis revealed persistent @DISEASE$ for the 4 months leading up to orchiectomy after discontinuation of both medications. false +7iOpGpoUhFVphCUKK8CJhtehiS4 This review is focused on major phytocompounds that have contributed to @DISEASE$ treatment in recent years and their role in @CHEMICAL$ resistance inhibition, as well as novel drug delivery systems for clinical strategies. false +JIgkuCfEhhioQq7SOWz_LIGg9FE This review is focused on major phytocompounds that have contributed to @DISEASE$ treatment in recent years and their role in drug resistance inhibition, as well as novel @CHEMICAL$ delivery systems for clinical strategies. false +NwU31CLjyyxOIY5r_i0dyJ5vyeY The enhanced @DISEASE$ of BP-TFG is 100-fold higher than @CHEMICAL$ oxide or AuNPs based biosensors. false +MPo81hCvfRbcB4TRmh5sTz_i9WE The enhanced @DISEASE$ of BP-TFG is 100-fold higher than graphene @CHEMICAL$ or AuNPs based biosensors. false +18kU6xMDmc5RBX6d1FMnc9oEaTI This was further supported by lack of inhibition of PA-stimulated @DISEASE$ and ISR when blocking entry of PA into mitochondria (with etomoxir), and PA's lack of stimulation of reduced @CHEMICAL$ in the presence of high glucose. false +wf5rTgQRBJoU9Yhi3axeFM6ltjg This was further supported by lack of inhibition of PA-stimulated @DISEASE$ and ISR when blocking entry of PA into mitochondria (with etomoxir), and PA's lack of stimulation of reduced cytochrome c in the presence of high @CHEMICAL$. false +iBVDqJtw7BDv9VL5dlxlcOxevzQ Remote Ischemic Preconditioning and @CHEMICAL$ Protect from @DISEASE$ by Inhibiting HMGB1-Induced TLR4/MyD88/NF-κB Signaling. treats +WdTC-ULYDOFe3bEsfjDIdyV-Lxg Validated miRNAs were further analyzed in @DISEASE$ from responder and non-responder MG patients of the Israeli population (n = 33), confirming a role for miR-323b-3p, -409-3p, -485-3p, -181d-5p and -340-3p as @CHEMICAL$ of drug efficacy. false +DlZwp0jh8_u7iAYRnm1FCoNo5L0 Validated miRNAs were further analyzed in @DISEASE$ from responder and non-responder MG patients of the Israeli population (n = 33), confirming a role for miR-323b-3p, -409-3p, -485-3p, -181d-5p and -340-3p as biomarkers of @CHEMICAL$ efficacy. false +rACaiIMaFUd6Ed3eTfc-V7jj4RQ We highlight the known @CHEMICAL$ mediators of these signaling pathways in amphibians and echinoderms, with a fine focus on @DISEASE$ channels that signal these fertilization-evoked depolarizations. false +xqxT43V0uYD6s-BMb7z-wPU8DpY Pre-clinical anti-tumor activity of @CHEMICAL$ in Hodgkin's Lymphoma cellular and subcutaneous @DISEASE$ model. treats +h_s5KlJuKvsqn7W61bcWXJu-wfU Pre-clinical anti-tumor activity of @CHEMICAL$ in @DISEASE$ cellular and subcutaneous tumor model. treats +jQFGh1cRqz9hLlVqX_kYmCNSeBw We studied clinico-pathological findings of resected liver tissues in 35 patients with HCC after SVR treated by interferon (IFN group) and 13 patients with @DISEASE$ after SVR treated by @CHEMICAL$ (DAA group). treats +ckR3g2t1N-oCLc_msbc8aVE5HoE We studied clinico-pathological findings of resected liver tissues in 35 patients with @DISEASE$ after SVR treated by @CHEMICAL$ (IFN group) and 13 patients with HCC after SVR treated by direct acting antivirals (DAA group). treats +CKJq9OZQ5zzrl5PoScE7f9JBe0I The @CHEMICAL$ expression-to-secretion correlation (SeCEP) pinpointed multiple genes that are fully translated into the oncogenically active secretome in a @DISEASE$ manner. false +_vHmQSA0rhudQher1DIGfFElHh4 In drug-induced PLG specifically, withdrawal of the @CHEMICAL$ can lead to @DISEASE$ regression. false +G8YDL0NIb4HFZMsIjQq9qrN-Eqs In drug-induced PLG specifically, withdrawal of the immunosuppressive agent can @CHEMICAL$ to @DISEASE$ regression. false +_AJuRl5d09dQWaE1P9hNA-F8UjQ In @CHEMICAL$ PLG specifically, withdrawal of the immunosuppressive agent can lead to @DISEASE$ regression. false +mR4Yyorr7fOTRCqWmmQ2s9XAbg4 High NCAPG expression is a novel prognostic @CHEMICAL$ to predict @DISEASE$ early recurrence after surgical resection. false +yqtUC03xU6dxtcg8Q4vCxcFcLZM Placental expressions and serum levels of @CHEMICAL$, visfatin, and omentin in @DISEASE$ false +LPhKRDz2pjhz49HYJ7_czCAz4ZU As it is difficult to diagnose the early-stage @DISEASE$ using the existing approaches, better @CHEMICAL$ are urgently needed and may improve the patients' prognoses. false +7KGqdUW1CNgMmnO901u16wlCaPs @CHEMICAL$ is a neuropeptide thought to play a role in a variety of neuropsychiatric @DISEASE$, and is important for healthy aging and behavioral resiliency. false +wJ4zPsmpwhvzXDFGkBhU4r7CIxA In addition, the skin sensitization acceptable exposure level (@DISEASE$ was calculated as 0.00538 for all representative @CHEMICAL$ and 2.14225 for rinse-off products; thus, CMIT/MIT was considered a skin sensitizer when all representative cosmetics were evaluated. false +GwQCMppKcGITnbnY7MRsKQDw9uk In addition, the skin sensitization acceptable exposure level (@DISEASE$ was calculated as 0.00538 for all representative cosmetics and 2.14225 for rinse-off products; thus, CMIT/MIT was considered a skin sensitizer when all representative @CHEMICAL$ were evaluated. false +Z--46wMw2CRvwkoo48v9Q2Q1dso This was supported by the observation that cleavage of a @CHEMICAL$ bond between @DISEASE$ CARD and AD by Tobacco Etch virus (TEV) protease relieved autoinhibition. false +I5o3UhXpzoJsSs8RZbv_V7J6oIw The most @DISEASE$ prophylactic agent used was @CHEMICAL$ (40.6%), followed by warfarin (28.5%) and aspirin (27.6%). false +1AOPONE-CgypeTwGsv4qX0B909c The most @DISEASE$ prophylactic agent used was rivaroxaban (40.6%), followed by @CHEMICAL$ (28.5%) and aspirin (27.6%). false +m3kzdNxdiNQv6XS1ZB8epqSDC1Q Currently, PSA is the only @DISEASE$ @CHEMICAL$ applied clinically, but it does not perform well in the early diagnosis and distinguishing between benign prostatic hyperplasia and prostate cancer. false +ttLVmeersXhmpctBEYZtoT8_QZc Currently, PSA is the only PCa @CHEMICAL$ applied clinically, but it does not perform well in the early diagnosis and distinguishing between benign prostatic hyperplasia and @DISEASE$. false +TExz1Iyvs1gutobiKlnjVL6xYsg Currently, PSA is the only PCa @CHEMICAL$ applied clinically, but it does not perform well in the early diagnosis and distinguishing between @DISEASE$ and prostate cancer. false +jTfxwlb2wTIcRoVKSNhcaKW3S0E The @CHEMICAL$ composite morphology and network structure was investigated by electron microscopy, atomic force microscopy, profilometry, ellipsometry as well as surface @DISEASE$ X-ray scattering. false +kK5cPP1jJPb226cRu4Q-Uhc3Uvg The silver-nanowire composite morphology and network structure was investigated by @CHEMICAL$ microscopy, atomic force microscopy, profilometry, ellipsometry as well as surface @DISEASE$ X-ray scattering. false +Zqun6jE7uxpGGBVVPDQEgdpeC4U These results suggest that clinically asymptomatic HHIs may affect brain reflex pathways, reflecting a @CHEMICAL$ @DISEASE$ previously seen when more invasive methods were applied. false +Pbf1q03EWluVQc5eaMdZs6ew9y0 Although @CHEMICAL$ (CDDP) has been used as a major chemotherapeutic drug for @DISEASE$ (HNSCC), its impact on T-cell functions is controversial. treats +Se08NlcCthKwcFyCHq-Cee-4zuQ Although @CHEMICAL$ (CDDP) has been used as a major chemotherapeutic drug for head and neck squamous cell carcinoma (@DISEASE$, its impact on T-cell functions is controversial. treats +aLZahsonDw59hCNtX0llOvEXPeU Although cisplatin (CDDP) has been used as a major @CHEMICAL$ for head and neck squamous cell carcinoma (@DISEASE$, its impact on T-cell functions is controversial. treats +lzZoR8jugi2btERkCGKrbGVhZ6s Although cisplatin (CDDP) has been used as a major @CHEMICAL$ for @DISEASE$ (HNSCC), its impact on T-cell functions is controversial. treats +0nKMFkpXTgbZAPl-PQ7Yfr1kL3U The density of the materials with @CHEMICAL$ was higher than for the materials with microparticles with the same @DISEASE$ of particles. false +uUxg7oZ7E7dUdU66KDbZhWrWFA0 The density of the @DISEASE$ with @CHEMICAL$ was higher than for the materials with microparticles with the same fractions of particles. false +MQn2DOcedfe0WCBUdj45QUnFrkY The density of the materials with @CHEMICAL$ was higher than for the @DISEASE$ with microparticles with the same fractions of particles. false +dGH9bVHVik9VZbWkk--PfVjgs7c Negative correlations were also found between serum FGF21 concentrations and GFR in patients after Tx, while positive correlations were observed between FGF21 concentrations and lean body mass in the @DISEASE$ group, body mass index and total cholesterol in the HD @CHEMICAL$. false +5CUHAXRh0bgPY8HjdyLDCaNI87g Negative correlations were also found between serum FGF21 concentrations and GFR in patients after Tx, while positive correlations were observed between FGF21 concentrations and lean body mass in the @DISEASE$ @CHEMICAL$, body mass index and total cholesterol in the HD group. false +P9OfGfgbo3onTnNbZwbY0DmKyWQ Negative correlations were also found between serum FGF21 concentrations and GFR in patients after Tx, while positive correlations were observed between FGF21 concentrations and lean body mass in the @DISEASE$ group, body mass index and total @CHEMICAL$ in the HD group. false +AMWcNCsCnyBScIYogOljkgmBHV8 In addition, the identified cooperative driver pathways are related with the target @DISEASE$, and they are involved with carcinogenesis and several key @CHEMICAL$ processes. false +LYR0songSaEUpWihCsBY2EIfFxI Moreover, our results provide quantitative evidence of what was up to now only partially assumed with empirical support: interventions combining gametocytemia reduction through the use of gametocidal drugs, with the selective action of @CHEMICAL$ during parasite development in the mosquito, may actively promote @DISEASE$ eradication in the long run. treats +mcTLi8o5Sq39RibtgV44dyweyLU In analysis of the main effects of each single @CHEMICAL$ polymorphisms(SNPs), variants in CLOCK rs11133373 was associated with @DISEASE$ risk even after false discovery rate (FDR) correction (Odd Ratios (OR) = 1.38 (95% Confident Interval (CI) 1.14-1.69) in CG and CC compared to GG genotype. false +EehL6AcIIQjjZkgv1ochmdrI0b4 @CHEMICAL$ (R = 0.241; p = 0.016) and all biases except the bias of @DISEASE$ CysC. false +BO1Pya1NaruEmVv31QHSchnPuF8 The synergistic effect and microscopic mechanism of co-adsorption of three emerging contaminants and @CHEMICAL$ @DISEASE$ on gemini surfactant modified montmorillonite. false +pWBHRRqvTFUI3vbQh05kVhq96x4 The synergistic effect and microscopic mechanism of co-adsorption of three emerging contaminants and copper @DISEASE$ on gemini @CHEMICAL$ modified montmorillonite. false +4Z_tAdeyd9RieOB3ymPpFdJWemI Those persons with @DISEASE$ ethyl-Hg levels greater than the median were deemed the higher ethyl-Hg exposure group and those with ethyl-Hg levels less than the median were deemed the lower ethyl-Hg exposure @CHEMICAL$. false +91ofto3FXM-TFoL02Xm-LJqVK6A Those persons with @DISEASE$ ethyl-Hg levels greater than the median were deemed the higher ethyl-Hg exposure group and those with ethyl-Hg levels less than the median were deemed the lower @CHEMICAL$ exposure group. false +xAJoN5HEXdDauKonEnqN8Bwnwyk Those persons with @DISEASE$ @CHEMICAL$ levels greater than the median were deemed the higher ethyl-Hg exposure group and those with ethyl-Hg levels less than the median were deemed the lower ethyl-Hg exposure group. false +kPoLWWgrkau_LJKJfDYwUVn2ZKE Those persons with @DISEASE$ ethyl-Hg levels greater than the median were deemed the higher ethyl-Hg exposure @CHEMICAL$ and those with ethyl-Hg levels less than the median were deemed the lower ethyl-Hg exposure group. false +mM072JmRIAG9y0dnUock6wxnxVc Those persons with @DISEASE$ ethyl-Hg levels greater than the median were deemed the higher ethyl-Hg exposure group and those with @CHEMICAL$ levels less than the median were deemed the lower ethyl-Hg exposure group. false +E-nRBJKsk7SMbDA09GuMKx1p-cI Those persons with @DISEASE$ ethyl-Hg levels greater than the median were deemed the higher @CHEMICAL$ exposure group and those with ethyl-Hg levels less than the median were deemed the lower ethyl-Hg exposure group. false +K1L68asqOfGxN_AjnBijCOrcN7E @CHEMICAL$ (MTX) is an important anti-folate agent in @DISEASE$ (ALL) treatment. treats +0T2zzwAlG9BvM0R0Nhol_Tzi-9c Furthermore, distinctive changes in higher order aberrations occur with various @DISEASE$ control treatments, including @CHEMICAL$, near addition spectacle lenses, orthokeratology and soft multifocal and dual-focus contact lenses. treats +rtBurMNNk1Tng5nRuTH3mDlq2Bk Detection of unamplified target genes via @DISEASE$ immobilized on a @CHEMICAL$ field-effect transistor. false +cqS7ScSy8ulG3_HRgyYUI2zv5oI @CHEMICAL$ protects against lipopolysaccharide-induced @DISEASE$ in HaCaT cells through upregulation of miR-21. treats +6Dwwci5RlESE7UU5QEVtt0WC1Vk @CHEMICAL$ exerts its reducing effect on serum @DISEASE$ and AST levels only when these aminotransferases are raised or when the duration of supplementation lasts at least 3 months. false +GfSnKzGFXdN8UDtLpbZemYbELeM Unfortunately, no highly sensitive and specific @DISEASE$ biomarkers for predicting the clinical response to @CHEMICAL$ have yet been defined. treats +W4dk91ZrMffKSauKZTB5fuUVTpU Unfortunately, no highly @DISEASE$ and specific tumor @CHEMICAL$ for predicting the clinical response to NeoCh have yet been defined. false +o7aHamrLPeWx70--m0Oh8TLvI60 On multivariate logistic analysis, large @DISEASE$, contact with the liver surface, and @CHEMICAL$ supplying vessels on DSA were significant risk factors for local recurrence (p = 0.0026, 0.038, and < 0.001, respectively). false +TfTJ5AvbCLfRiLAkBOsz3fORGxI Preoperative thromboprophylactic administration of low-molecular-weight-heparin significantly decreased the risk of @DISEASE$ compared with @CHEMICAL$ in patients undergoing video-assisted lobectomy for lung cancer. treats +a_D3ot_56kH8WZy5Vi34Bg_Ew58 Preoperative thromboprophylactic administration of @CHEMICAL$ significantly decreased the risk of @DISEASE$ compared with heparin in patients undergoing video-assisted lobectomy for lung cancer. treats +_ODZkRyy76jztVggu9rpGVxrmrQ HbA1c change was not significant in the @DISEASE$ @CHEMICAL$. false +SksmR6cfiKwga-F0rhVdCDuF1H8 @CHEMICAL$ change was not significant in the @DISEASE$ group. false +oOzBRGr90Iu-JTah4z4yqGvJbe8 The reaction was designed by harnessing the hydrogen atom transfer (@DISEASE$) reactivity of @CHEMICAL$ species with aliphatic substrates followed by a radical rebound process to afford C-H arylation products. false +cCKicTlZMWfRmEEnlAEvIxH6sEA The reaction was designed by harnessing the hydrogen atom transfer (@DISEASE$) reactivity of metal-QC species with aliphatic substrates followed by a @CHEMICAL$ rebound process to afford C-H arylation products. false +9bt0s7ZCAaWqTK3JmT-5T9FBD7E The reaction was designed by harnessing the @CHEMICAL$ transfer (@DISEASE$) reactivity of metal-QC species with aliphatic substrates followed by a radical rebound process to afford C-H arylation products. false +BtZ9sQNGEg6RID_ouHshCwFp490 Despite worldwide mass @CHEMICAL$ administration, it is estimated that 68 million individuals are still infected with @DISEASE$ with 19 million hydrocele and 17 million lymphedema reported cases. treats +htVOdv2DBoncob9MZEYQY0LqkzE Associations between Comorbid @CHEMICAL$, Lewy Body Pathology, and Neuropsychiatric Symptoms in @DISEASE$. false +upnOoPrsxWThB_Z5mUNpOUwPCgk One of the @CHEMICAL$ for eryptosis, sphingomyelinase (SMase), plays an important role in monitoring the efficacy of vascular targeted @DISEASE$ therapy. false +yaRd90QdNen5uQREEvRp3zPMPJU Also, all central serous chorioretinopathy (@DISEASE$) patients should avoid the use of @CHEMICAL$ as much as they possibly can. false +Cj_pPo2Hxf1XQkrBCjx0JLahQWQ Also, all @DISEASE$ (CSC) patients should avoid the use of @CHEMICAL$ as much as they possibly can. false +C2xi3ADXf65x_OHLnzeYooZbN6k The article @CHEMICAL$: A Review in @DISEASE$, written by Hannah. treats +lteCqAYO5JpJqsGRKTcCFlavGew The effects of @CHEMICAL$ supplement on the spermatogram and seminal oxidative stress in @DISEASE$ men: A randomized, double-blind, placebo-controlled clinical trial. treats +YDK74vIh09sSLkeKdZtNiZBlAzM The effects of lycopene supplement on the spermatogram and seminal @CHEMICAL$ stress in infertile @DISEASE$: A randomized, double-blind, placebo-controlled clinical trial. false +iotxzXuDyoqi6nNp6PZqLNtnYfQ Human gut microbiome changes during a 10 week Randomised Control Trial for @CHEMICAL$ supplementation in children with @DISEASE$. treats +LQ-YBRfNgGxwwaRHb_82yzWCHuI Changing levels of recombinant CTHRC1 @CHEMICAL$ (rCTHRC1) promoted @DISEASE$ migration and invasion via enhancing macrophage recruitment in vitro. false +cdumEqbStZBkSq5Iv1ds5LKxbvA We report a case of Fournier's gangrene presenting 10 days after a patient with @DISEASE$ started @CHEMICAL$ therapy. treats +fE3K1KHPskR4n441gcLWbB2hY-w To evaluate the plant @CHEMICAL$ activity in stallions @DISEASE$ with Maca powder for 60 days, the redox status and some reproductive parameters were investigated. false +WjZ8w_Ury124UL4NL2VUZ-vnPmU ) was used to improve the detection accuracy and @DISEASE$ of analysed tumor cells via taking advantages of shell-isolated @CHEMICAL$ Raman spectroscopy (SHINERS). false +xIb9BR3tC2ndKyxg_lpk-GuUOmo ) was used to improve the detection accuracy and sensitivity of analysed @DISEASE$ cells via taking advantages of shell-isolated @CHEMICAL$ Raman spectroscopy (SHINERS). false +XF98Boi7Ykhp-ySMkzAXP2XlWo4 @CHEMICAL$ Attenuates @DISEASE$ by Preventing Gut Barrier Injury. treats +C1VRKESo4PnO0gQRH4QdfqAr9XE @CHEMICAL$ Attenuates Cold-Induced Hypertension by Preventing @DISEASE$. treats +SDypOfkfDgQda_H_7ME1aPxgXkQ This study evaluated whether the supplementation of necrostatin-1 (Nec-1), a potent @CHEMICAL$ of @DISEASE$, to islet culture media could improve the recovery, maturation, and function of pre-weaned porcine islets (PPIs). treats +c-Ko_nupDZb-EhuTmBvg_ErItE4 This study evaluated whether the supplementation of @CHEMICAL$ (Nec-1), a potent inhibitor of @DISEASE$, to islet culture media could improve the recovery, maturation, and function of pre-weaned porcine islets (PPIs). treats +4W1SgoN3ccDf1Q18pOo_zZW9-FU This study evaluated whether the supplementation of necrostatin-1 (@CHEMICAL$), a potent inhibitor of @DISEASE$, to islet culture media could improve the recovery, maturation, and function of pre-weaned porcine islets (PPIs). treats +7mV0tOkgbbEypQgfU4kPockAl2Y Male sex, advanced T stage, advanced N stage, increased positive lymph node ratio, lymphocyte-to-monocyte ratio < 1.56, presence of @CHEMICAL$ @DISEASE$, and earlier date of diagnosis predicted worse survival on univariate analysis. false +yl0_WbZyQR_37SIXWpyPqoV-RkU Sexual minority status and symptoms of @DISEASE$: The role of bullying, discrimination, social support, and @CHEMICAL$ use - Findings from the Adult Psychiatric Morbidity Survey 2007. false +cTcLT9SAiA0EvZ7l8Ui3vFyXspY Exposure to polycyclic aromatic @CHEMICAL$ (@DISEASE$ or dioxins perturbs amino acid pathways at physiologically relevant concentrations with different mechanisms. false +lgqvAf8swP7vTNHWg3CkdbzLY10 Exposure to polycyclic aromatic hydrocarbons (@DISEASE$ or dioxins perturbs @CHEMICAL$ pathways at physiologically relevant concentrations with different mechanisms. false +FaxrBbOPfVAjqkI0Xcba_TnS4TQ nanoparticles were orally administered to pregnant Sprague-Dawley rats (12 females per @CHEMICAL$) from gestation days (@DISEASE$) 6 to 19 at dosage levels of 0, 100, 300 and 1000 mg/kg/day, and then cesarean sections were conducted on GD 20. false +MvXR7UmtKUkH-1ace9vViCtTRlY @CHEMICAL$ were orally administered to pregnant Sprague-Dawley rats (12 females per group) from gestation days (@DISEASE$) 6 to 19 at dosage levels of 0, 100, 300 and 1000 mg/kg/day, and then cesarean sections were conducted on GD 20. false +npVM9jp-zLYkMZH9Wp_ncKWAuDs Patients  with  concealed  penis  after  circumcision  had  a  significantly  higher  number  of  febrile  @DISEASE$  attacks  (20 attacks in 8 patients vs 7 attacks in 5 patients)  compared  to  non-concealed  @CHEMICAL$.(P false +ZJ9fZZbu6dcF6flvUyd8E1iX994 Consistent with the improvement of @DISEASE$ behavior above, GPS mice had elevated serotonin and @CHEMICAL$ levels in multiple brain regions including the hippocampus, cerebral cortex and olfactory bulb, relative to unpredictable chronic mild stress (UCMS) treatment mice. false +GWJxuj6wta0V_se60-Jl0S69FLk Consistent with the improvement of @DISEASE$ behavior above, GPS mice had elevated @CHEMICAL$ and dopamine levels in multiple brain regions including the hippocampus, cerebral cortex and olfactory bulb, relative to unpredictable chronic mild stress (UCMS) treatment mice. false +Sm-YXWPeVqqyp28aZpiPCIOIWBo Consistent with the improvement of depression-like behavior above, @DISEASE$ mice had elevated @CHEMICAL$ and dopamine levels in multiple brain regions including the hippocampus, cerebral cortex and olfactory bulb, relative to unpredictable chronic mild stress (UCMS) treatment mice. false +0LpeVnu7xFGHBUmy4NW7fNQH8go Consistent with the improvement of depression-like behavior above, @DISEASE$ mice had elevated serotonin and @CHEMICAL$ levels in multiple brain regions including the hippocampus, cerebral cortex and olfactory bulb, relative to unpredictable chronic mild stress (UCMS) treatment mice. false +sc5SXybAD-u12Bm_A8tnG0QlwjI The tools have to provide an exhaustive collection of information to discriminate and identify SNPs, which are associated with the activity of particular genes affecting biological functions (e.g., a particular @CHEMICAL$ response), or involved in the development of complex @DISEASE$. false +oyXzQTGD0UutHJQmMz3uWwrs5is The tools have to provide an exhaustive collection of information to discriminate and identify SNPs, which are associated with the activity of particular genes affecting @CHEMICAL$ functions (e.g., a particular drug response), or involved in the development of complex @DISEASE$. false +o3ZGFg8utssnAFOqdK0UNbZSrWo The mechanisms of action that @CHEMICAL$ executes to deliver its @DISEASE$ effects are delineated. false +5bqduJOo567_2VaL_-tXbJ43W_U The selected 25 articles that met the inclusion criteria after a review showed evidence for regulating menstrual cycles with @CHEMICAL$ therapy alone among females with the @DISEASE$. treats +NzGQsdjQ4Qlr45uf0slnUcTW9G8 Baseline serum folate, @CHEMICAL$ B12 and the risk of prostate and @DISEASE$ using data from the Swedish AMORIS cohort. false +FI_CMuadQJUp6o1Id36u4UyBSPQ Baseline serum @CHEMICAL$, vitamin B12 and the risk of prostate and @DISEASE$ using data from the Swedish AMORIS cohort. false +B4pc1MX4YhZ1bTsWoqfYtozuxKo Numerous experimental methods have been developed to measure the @DISEASE$ of all or select @CHEMICAL$. false +9onayuGvs-_BD3STXnN_1FwAMn4 Diagnostic criteria for @DISEASE$ are low levels of the thyroid hormones free T4 and free T3, with a reduced, normal or slightly elevated level of @CHEMICAL$ (TSH). false +uO1ncdVw9V235jaXW0Y199tkNm8 Diagnostic criteria for @DISEASE$ are low levels of the thyroid hormones free T4 and free T3, with a reduced, normal or slightly elevated level of thyroid stimulating @CHEMICAL$ (TSH). false +D9V4aGHwIwuV9K-OW8lt4a18iEo Diagnostic criteria for @DISEASE$ are low levels of the thyroid @CHEMICAL$ free T4 and free T3, with a reduced, normal or slightly elevated level of thyroid stimulating hormone (TSH). false +ya344X-zFdwEK0_gOvXwoUgu6nI Diagnostic criteria for @DISEASE$ are low levels of the @CHEMICAL$ free T4 and free T3, with a reduced, normal or slightly elevated level of thyroid stimulating hormone (TSH). false +mhgRRzDcnM1bQD-1TH-UCkhRSIs @DISEASE$ is a differential diagnosis of abnormal glandular cells on a @CHEMICAL$ test. false +zFQVdWvf1A2VuKhVvkQ9J-8kaMU DOX and @CHEMICAL$ were loaded onto the MVs through incubation and cholesterol-mediated methods, achieving high loading rates and targeted @DISEASE$ delivery. treats +9Z6jicERyPTT14MGDpmIkkbLcyk @CHEMICAL$ and P-glycoprotein (P-gp) siRNA were loaded onto the MVs through incubation and cholesterol-mediated methods, achieving high loading rates and targeted @DISEASE$ delivery. treats +JamXN20bFc4eMQK2oaO1c1PDLjw The results of our calculations show strong @DISEASE$ of the structure formation on the molecular symmetry, in particular on the (@CHEMICAL$ nature of the building block. false +EHt6B9UW5XHAuNNJ5tmyojnEIr8 The results of our calculations show strong @DISEASE$ of the structure formation on the @CHEMICAL$ symmetry, in particular on the (pro)chiral nature of the building block. false +LsDWdr5qPYf3rYK6Q53ClZLoWHs Acetylcholinesterase (AChE) plays a vital role in nerve conduction through rapidly hydrolyzing the @CHEMICAL$ acetylcholine (ACh) and is correlated with @DISEASE$. false +AxvtXBmCBEnd_N9zbv4KwYHL-AQ Acetylcholinesterase (AChE) plays a vital role in nerve conduction through rapidly hydrolyzing the neurotransmitter @CHEMICAL$ (ACh) and is correlated with @DISEASE$. false +UStJqiWgyu_Onng5KVsdthlwhT8 Accordingly, in the present study, we sought to explore whether TRPV4 is involved in the regulation of Cx expression following @CHEMICAL$ @DISEASE$ (PISE) in mice. false +XsclDK6QUMUnXQ8TM0fNclVPGSc Urotensin 2 and @CHEMICAL$ Stress Levels in Maternal Serum in Pregnancies Complicated by @DISEASE$. false +XGmsAheHz6UB19EG5K_8NytRRQk In conclusion, faecal miR-21, miR-92a and their combination are promising non-invasive @CHEMICAL$ for faecal-based @DISEASE$ screening. false +ONCkVcfC4uV56uFAr1zC1oVCwhc Buffy-coat reduced @DISEASE$ did not influence the outcome in the study @CHEMICAL$. false +aIlB7eRTwvBkYsxNKW-myLF5dNw As well, our data demonstrated that acute BLM-induced fibrosis was accompanied by an @CHEMICAL$ stress in lung tissue as assessed by an increase of lipid peroxidation as well as antioxidant enzyme activities depletion such as superoxide dismutase (@DISEASE$) and catalase (CAT). false +63NhoK_J6J2hyUKRC4GUmWKlsYw As well, our data demonstrated that acute BLM-induced fibrosis was accompanied by an oxidative stress in lung tissue as assessed by an increase of lipid peroxidation as well as antioxidant @CHEMICAL$ activities depletion such as superoxide dismutase (@DISEASE$) and catalase (CAT). false +Vgxj6iBS2q9oIMojDmohc38M2Qg As well, our data demonstrated that acute BLM-induced fibrosis was accompanied by an oxidative stress in lung tissue as assessed by an increase of @CHEMICAL$ peroxidation as well as antioxidant enzyme activities depletion such as superoxide dismutase (@DISEASE$) and catalase (CAT). false +6u7vQf2Jb2ICGCFRoqcTqJ2JEGg As well, our data demonstrated that acute BLM-induced fibrosis was accompanied by an oxidative stress in lung tissue as assessed by an increase of lipid peroxidation as well as antioxidant enzyme activities depletion such as @CHEMICAL$ dismutase (@DISEASE$) and catalase (CAT). false +RZTWBGMCGZFfNBMycOjlN9C9H_M As well, our data demonstrated that acute BLM-induced fibrosis was accompanied by an oxidative stress in lung tissue as assessed by an increase of lipid @CHEMICAL$ as well as antioxidant enzyme activities depletion such as superoxide dismutase (@DISEASE$) and catalase (CAT). false +RyxboSDQhvcB5sLfItHHoU35TBo As well, our data demonstrated that acute BLM-induced fibrosis was accompanied by an oxidative stress in lung tissue as assessed by an increase of lipid peroxidation as well as @CHEMICAL$ enzyme activities depletion such as superoxide dismutase (@DISEASE$) and catalase (CAT). false +3IqZDbE7Gjwpmg9zlBeCGAV_BUE We conclude that RT performed in higher volume seems to be the most appropriate strategy to reduce body fat (%), trunk @CHEMICAL$, improve @DISEASE$ biomarkers, and reduce composite Z-score in older women. false +Smc1FvbeBkugQI_fsXQlwv3c0KQ We conclude that RT performed in higher volume seems to be the most appropriate strategy to reduce body fat (%), trunk fat, improve @DISEASE$ @CHEMICAL$, and reduce composite Z-score in older women. false +v5S9AYtpMhAXb4gFcKYXv13nVfw We conclude that RT performed in higher volume seems to be the most appropriate strategy to reduce body @CHEMICAL$ (%), trunk fat, improve @DISEASE$ biomarkers, and reduce composite Z-score in older women. false +lBuR2d-06RFY0yUO2Ph6XW0jAPo @CHEMICAL$ that regulate NAD+ and thereby target sirtuins may be beneficial in human @DISEASE$. treats +JJs9CNlid2Jo7BSglCfeNpSVtPo Native-size spider silk genes (up to 10 kb) were inserted into an intron of the fibroin heavy or light chain (FibH or FibL) ensuring that any sequence changes induced by the @DISEASE$ would not impact @CHEMICAL$ production. false +zABoe408MJco3f_ndwFwgyJpxRM We used time-course RNA-seq data from @DISEASE$ cells treated with dbcAMP (a @CHEMICAL$) as a realistic case to reconstruct the GRNs for sensitive and resistant cells. treats +iivYzyzOglX1VRmBV3EOUlo7P9E We used time-course RNA-seq data from @DISEASE$ cells treated with @CHEMICAL$ (a cAMP activator) as a realistic case to reconstruct the GRNs for sensitive and resistant cells. treats +_CDU_TzTlBsMV8ODPtVQnzt-s-0 We used time-course @CHEMICAL$ data from glioma cells treated with dbcAMP (a cAMP activator) as a realistic case to reconstruct the GRNs for @DISEASE$ and resistant cells. false +DKlQhrxeFBTSvLssgUM19iNs6K4 Deficiency in the membrane @CHEMICAL$ Tmbim3a/Grinaa initiates @DISEASE$ ER stress and cell death by activating an intrinsic apoptotic pathway in zebrafish. false +0F0meUGss84PYJHY2kmEMbSvVCc Deficiency in the membrane @CHEMICAL$ Tmbim3a/Grinaa initiates cold-induced ER stress and cell death by activating an @DISEASE$ apoptotic pathway in zebrafish. false +vZJAR-5WnadcbRoo3Lz2goralxY Computed tomography venography and angiography finally indicated that the fever and pain were the symptoms of @DISEASE$ caused by @CHEMICAL$ extraction. false +MojGkKPpxaIIXPWSyyutYCgxc2Y Their venom and mechanism of @DISEASE$ @CHEMICAL$ to painful, poor-healing wounds that often become infected. false +hpvW2flgPiqbc_Q3lKLQyRfQVYc Their @CHEMICAL$ and mechanism of @DISEASE$ lead to painful, poor-healing wounds that often become infected. false +rnP7gY4BC8Fv6LMxElyZpNSygsI Overall, our results suggest that adolescence is a critical period of @DISEASE$ and binge drinking that can @CHEMICAL$ to lasting changes in ethanol intake in adulthood. false +lSoIGrFb8fV0DrbDmac3yEtARVk Overall, our results suggest that adolescence is a critical period of @DISEASE$ and binge drinking that can lead to lasting changes in @CHEMICAL$ intake in adulthood. false +vJgx-YjUNfCxa1F2ifU5VuJv3YM Furthermore, somatic mutation signature analysis showed preferential transition of cytosine to thymine residues at CpG @CHEMICAL$ in @DISEASE$ tissues. false +2KxjE1x55_JBgjqU1GxPPJw7MR8 Furthermore, somatic mutation signature analysis showed preferential transition of cytosine to @CHEMICAL$ residues at CpG dinucleotides in @DISEASE$ tissues. false +WGTq7zxGr1u7_RKKRXyrMw0Zl9Y Furthermore, somatic mutation signature analysis showed preferential transition of cytosine to thymine @CHEMICAL$ at CpG dinucleotides in @DISEASE$ tissues. false +bCSgQWvEQbuo5IBx3nb-TGb5i10 Furthermore, somatic mutation signature analysis showed preferential transition of @CHEMICAL$ to thymine residues at CpG dinucleotides in @DISEASE$ tissues. false +xoA2tK_qp02kmo3YqTmFvC0doiM Patients were classified into either mild-to-moderate severe @CHEMICAL$ or severe group according to the Revised Atlanta Classification for @DISEASE$. false +Hn4B-L4mMrpDgXGlEIg5GNKB_6k Patients were classified into either mild-to-moderate severe group or severe @CHEMICAL$ according to the Revised Atlanta Classification for @DISEASE$. false +o_nnXLClf7BxpcFrDXz-LZhlm1U We found that the protein level of SIRT1 in peripheral blood mononuclear cells was lower, the protein level in spleen was higher, and phosphorylation of p65 @CHEMICAL$ in peripheral @DISEASE$ mononuclear cells was reduced. false +POTyQeZy_QI-K53zRnkVtQzcKMU We found that the protein level of SIRT1 in peripheral @DISEASE$ mononuclear cells was lower, the protein level in spleen was higher, and @CHEMICAL$ of p65 protein in peripheral blood mononuclear cells was reduced. false +Ez5z4m9FbuAl_ER_6G5D1H-SW1w We found that the protein level of SIRT1 in peripheral blood mononuclear cells was lower, the @CHEMICAL$ level in spleen was higher, and phosphorylation of p65 protein in peripheral @DISEASE$ mononuclear cells was reduced. false +Y09q-TBwra8L-PcraK1j2_Fp7YQ We found that the @CHEMICAL$ level of SIRT1 in peripheral @DISEASE$ mononuclear cells was lower, the protein level in spleen was higher, and phosphorylation of p65 protein in peripheral blood mononuclear cells was reduced. false +oLYI8Nx_wBLr574iO9FRpMdbDcg We found that the protein level of SIRT1 in peripheral @DISEASE$ mononuclear cells was lower, the protein level in spleen was higher, and phosphorylation of p65 @CHEMICAL$ in peripheral blood mononuclear cells was reduced. false +28BlP-tW2muOf_Ka5n3-nVtfDdU We found that the @CHEMICAL$ level of SIRT1 in peripheral blood mononuclear cells was lower, the protein level in spleen was higher, and phosphorylation of p65 protein in peripheral @DISEASE$ mononuclear cells was reduced. false +tJ1INyaue7dZKRR-1TPqQivir7M We found that the protein level of SIRT1 in peripheral blood mononuclear cells was lower, the protein level in spleen was higher, and @CHEMICAL$ of p65 protein in peripheral @DISEASE$ mononuclear cells was reduced. false +5siAte2J7WrYfT6wamN6YG68WOU We found that the protein level of SIRT1 in peripheral @DISEASE$ mononuclear cells was lower, the @CHEMICAL$ level in spleen was higher, and phosphorylation of p65 protein in peripheral blood mononuclear cells was reduced. false +VUXm0GK0ZdbNbuL6ykOHtsMr_SA At 400 K, such an evolution of the rotational diffusion coefficient contrasts with quasielastic @CHEMICAL$ scattering results predicting a near independence of the rotational diffusion with a pressure increase above ≃0.5 @DISEASE$. false +9JeKngVLCqbxpWc8BRdNg2s8eeI Increase in @CHEMICAL$ mediators even between febrile attacks in @DISEASE$ suggests that anti-IL1 treatment might be beneficial in these patients. false +ukrbcZeBzwpCLAad-aOeM3f-Fjg Internal tandem duplication (ITD) mutations within FMS-like @CHEMICAL$ kinase-3 (FLT3) occur in up to 30% of @DISEASE$ (AML) patients and confer a very poor prognosis. false +DuPE3h2cdSF27ETN6U2T7CKFNiE Internal tandem duplication (ITD) mutations within FMS-like @CHEMICAL$ kinase-3 (FLT3) occur in up to 30% of acute myeloid leukemia (@DISEASE$ patients and confer a very poor prognosis. false +XzIBiHzrqKWA7tYwbzQwGig8rhU Implementing such measures presents a @DISEASE$ opportunity to both reduce the @CHEMICAL$ problem and improve human nutrition, health, and health equity. false +6CA_UIhCn4xqE0mlKVLD1BJiDN8 Our data provide the first glimpse of the dynamic chromatin landscape of @DISEASE$ and serve as a platform for future studies of the impact of genetic or environmental perturbations on the epigenome of @CHEMICAL$ false +-PlucF9-UiMx-IDkFuvjTyHQvBg Our data provide the first glimpse of the dynamic chromatin landscape of @CHEMICAL$ and serve as a platform for future studies of the impact of genetic or environmental perturbations on the epigenome of @DISEASE$ false +Ck_FTUAJIKOW2Wg_TokLhKtJMLY Current strategies that are employed for the management of various cancers including that of breast fall short when their undesired side effects like @DISEASE$ Stem Cells (CSC) enrichment, low recurrence-free survival and development of @CHEMICAL$ resistance are taken into consideration. treats +51FJkedpxEyxsP-4_L8FrduWGZY Fusion genes represent an important class of @CHEMICAL$ and therapeutic targets in @DISEASE$. false +me9EMOKxfrcSV8ZZ9tH46LPN8W4 During the last decade, a new promising @CHEMICAL$ of biomarkers has appeared and its utilization for @DISEASE$ diagnosis and monitoring is intensively studied - the microRNAs (miRNAs). false +7AJMt2LiUMHru9QWQ2nZ-rmhGUQ During the last decade, a new promising group of @CHEMICAL$ has appeared and its utilization for @DISEASE$ diagnosis and monitoring is intensively studied - the microRNAs (miRNAs). false +A4uN4TCq_Vu7-yzQ49UNQyjhCbk A wide array of studies have been conducted to functionalize @CHEMICAL$ MPSNPs using targeting ligands and @DISEASE$ substances. false +Eft-t2WlUGKUPY0la1Wg3K8RHBo However, the content of malondialdehyde (MDA) was significantly increased in fish @DISEASE$ the diet with 100% OO compared with the control @CHEMICAL$ (P < 0.05). false +jfy0dR_cnN8j_99RXwOjwhpqoEw mice were used to model pre-pregnancy maternal @DISEASE$ and the C57BL/6 wildtype were used as a control @CHEMICAL$. false +ZmmFC0r95eOkeBLOEazaDtHb_yk Radiomics is known as a useful method to @DISEASE$ imaging @CHEMICAL$ related to intratumor heterogeneity in molecular targeted therapy as well as one-size-fits-all therapy. false +FXPh4SN3xZYMhlbA9x1Dbc650d8 Radiomics is known as a useful method to @DISEASE$ imaging biomarkers related to intratumor heterogeneity in @CHEMICAL$ targeted therapy as well as one-size-fits-all therapy. false +Rm_G_jPcZU1YsBs6qoeNaRG0YGQ MicroRNA-498 was highly expressed in hMSCs derived from @DISEASE$ patients, whereas @CHEMICAL$ and RUNX2 were lowly expressed. false +5FPZOGM3MAWzRWzg397mqZ8BdvI @CHEMICAL$, in the form of a salt, is a mood stabilizer and a leading drug for the treatment of @DISEASE$. treats +SDhw_FkGal4anfHNQjD3AZrpV3M Lithium, in the form of a salt, is a mood stabilizer and a leading @CHEMICAL$ for the treatment of @DISEASE$. treats +MEzcSp501p-1mSylTAchaTfDxM8 number for the @CHEMICAL$ @DISEASE$ Trial: NCT00000135; Clinicaltrials.gov treats +UbH-LaH3sC5YoP-wjk35ChqD6S4 Further, in vivo @DISEASE$ with Giardia attenuates robust IL-23 responses in endotoxin-stimulated BMDCs from @CHEMICAL$ deficient mice harboring enteroaggregative Escherichia coli. false +XHL-lmjnixMPw4mS2g3lj6FzKx0 The operated @CHEMICAL$ underwent @DISEASE$ surgery without the need for topical medications. false +-ZzZg-mBa-N26jaMycLyM2b0PoA The rapid developmental processes can incorporate a large quantity of hazardous and unseen heavy metals in all the segments of the environment, including soil, @CHEMICAL$, @DISEASE$ and plants. false +clNMxLfxGeVN9HmfGNRwYyTL-Ww Baseline methane levels had better correlation with @DISEASE$ compared with maximum levels of @CHEMICAL$ achieved. false +jWqwhjFLdK-P7KkyguB-rZ7w6FE Baseline @CHEMICAL$ levels had better correlation with @DISEASE$ compared with maximum levels of methane achieved. false +wI9h08P2y6HRfunetV-KT7Hd0XE @CHEMICAL$ expression of programmed cell death ligand 1 and components of the phosphatidylinositol 3-kinase/AKT/phosphatase and tensin homolog pathway in epidermal growth factor receptor mutation-positive @DISEASE$. false +jUjbG1y6UokH3WoD2yGsOKUpqUE mRNA expression of programmed cell death ligand 1 and components of the @CHEMICAL$ 3-kinase/AKT/phosphatase and tensin homolog pathway in epidermal growth factor receptor mutation-positive @DISEASE$. false +FjF8G7_0eWRxcAAv6zwUkSfMfqU mRNA expression of programmed cell death @CHEMICAL$ 1 and components of the phosphatidylinositol 3-kinase/AKT/phosphatase and tensin homolog pathway in epidermal growth factor receptor mutation-positive @DISEASE$. false +MYBLiHUo4-hqymJKsgELzICyHB4 In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and cyclophosphamide followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by 5-fluorouracil, epirubicin and @CHEMICAL$ and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +kB0-5Q9ChBnSrBupb4KxpnKaNvo In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the @CHEMICAL$, epirubicin and cyclophosphamide followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by 5-fluorouracil, epirubicin and cyclophosphamide and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +p9--B47Q9_ayZlQrAJEzljaCzzo In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and cyclophosphamide followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by @CHEMICAL$, epirubicin and cyclophosphamide and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +SMJdith9RFx1T8EDMIFq5dnBvt4 In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and cyclophosphamide followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by 5-fluorouracil, epirubicin and cyclophosphamide and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, @CHEMICAL$ and trastuzumab arm after the protocol amendment. false +hoyuhYBn7kad_0yVtGQ8U6kuEao In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and @CHEMICAL$ followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by 5-fluorouracil, epirubicin and cyclophosphamide and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +pcJ1VS4UuPsCT8BIqiEnYL8cixo In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and cyclophosphamide followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, @CHEMICAL$ and trastuzumab followed by 5-fluorouracil, epirubicin and cyclophosphamide and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +BsxfVl_ldf4oRlPu36pBDZpR080 In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and cyclophosphamide followed by docetaxel, @CHEMICAL$ and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by 5-fluorouracil, epirubicin and cyclophosphamide and docetaxel, cyclophosphamide and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +ILmcoTDoSDzS5DhC-J7z3Ijh-DQ In total, 103 patients were enrolled between September 2009 and September 2011: 21, 22 and 24 patients in the 5-fluorouracil, epirubicin and cyclophosphamide followed by docetaxel, cyclophosphamide and trastuzumab; docetaxel, cyclophosphamide and trastuzumab followed by 5-fluorouracil, epirubicin and cyclophosphamide and docetaxel, @CHEMICAL$ and trastuzumab @DISEASE$, respectively, and 36 patients in the docetaxel, cyclophosphamide and trastuzumab arm after the protocol amendment. false +eO9dp62gJ2zuDZO-D5spCMELH1c Carbon dots (@DISEASE$) are biocompatible fluorescent @CHEMICAL$ which can improve PpIX cellular uptake and solubility. false +7BJVjCQ97ikbzTRB_YLzh2fAmR4 The purpose of this study was to investigate the therapeutic effects of @CHEMICAL$ (FA) in a rat model of adriamycin-induced @DISEASE$ (AN). treats +UG0CRUj1P7TZCuLaCQTfH5-VMUo @CHEMICAL$ cancer cells are @DISEASE$ to changes in the levels of reactive oxidative species (ROS). false +TbtKazWu-J_k5kju9hWSq9-cUFg @DISEASE$ cells are sensitive to changes in the levels of reactive @CHEMICAL$ species (ROS). false +CnIBjOl1wuOWNbmKU5hhL-L2sjQ Platinum-resistant cancer cells are @DISEASE$ to changes in the levels of reactive @CHEMICAL$ species (ROS). false +Z8CmPuhK4mX0zMJCQTAUtjL4Wdg Finally, we consider evidence indicating that histone mutations might be more widespread in @DISEASE$ than previously thought, and if the perceived bias towards mutation of H3.3 is real or reflects the biology of tumors in which the @CHEMICAL$ mutants were first identified. false +g8NRGcvgQt3PK8iSOuP5LARGEJU Finally, we consider evidence indicating that @CHEMICAL$ mutations might be more widespread in @DISEASE$ than previously thought, and if the perceived bias towards mutation of H3.3 is real or reflects the biology of tumors in which the histone mutants were first identified. false +nTxjLN7yBe-HP_SGSHjTFtkcgm8 Finally, we consider evidence indicating that histone mutations might be more widespread in @DISEASE$ than previously thought, and if the perceived bias towards mutation of H3.3 is real or reflects the @CHEMICAL$ of tumors in which the histone mutants were first identified. false +5HcLB1odYn683GYYU-upFntOMh8 Four major classes of enzymes that attenuate TCR signaling include E3 ubiquitin kinases such as the Casitas B-lineage @DISEASE$ proteins (Cbl-b and c-Cbl), and Itchy (Itch), inhibitory tyrosine phosphatases, such as Src homology region 2 domain-containing phosphatases (SHP-1 and SHP-2), inhibitory protein kinases, such as C-terminal Src kinase (Csk), and inhibitory lipid kinases such as Src homology 2 (SH2) domain-containing @CHEMICAL$ polyphosphate 5-phosphatase (SHIP) and Diacylglycerol kinases (DGKs). false +fet9RzfpZMsLM88HsfXUSdkrrS0 Four major classes of enzymes that attenuate TCR signaling include E3 ubiquitin kinases such as the Casitas B-lineage @DISEASE$ @CHEMICAL$ (Cbl-b and c-Cbl), and Itchy (Itch), inhibitory tyrosine phosphatases, such as Src homology region 2 domain-containing phosphatases (SHP-1 and SHP-2), inhibitory protein kinases, such as C-terminal Src kinase (Csk), and inhibitory lipid kinases such as Src homology 2 (SH2) domain-containing inositol polyphosphate 5-phosphatase (SHIP) and Diacylglycerol kinases (DGKs). false +JmyyPIVQlZELrjgWzaFoj6QLK70 Four major classes of enzymes that attenuate TCR signaling include E3 ubiquitin kinases such as the Casitas B-lineage @DISEASE$ proteins (Cbl-b and c-Cbl), and Itchy (Itch), inhibitory tyrosine phosphatases, such as Src homology region 2 domain-containing phosphatases (SHP-1 and SHP-2), inhibitory protein kinases, such as C-terminal Src kinase (Csk), and inhibitory lipid kinases such as Src homology 2 (SH2) domain-containing inositol @CHEMICAL$ 5-phosphatase (SHIP) and Diacylglycerol kinases (DGKs). false +2-q-DTlF8orGSjHhGoflX7uZCMw Four major classes of enzymes that attenuate TCR signaling include E3 ubiquitin kinases such as the Casitas B-lineage @DISEASE$ proteins (Cbl-b and c-Cbl), and Itchy (Itch), inhibitory tyrosine phosphatases, such as Src homology region 2 domain-containing phosphatases (SHP-1 and SHP-2), inhibitory @CHEMICAL$ kinases, such as C-terminal Src kinase (Csk), and inhibitory lipid kinases such as Src homology 2 (SH2) domain-containing inositol polyphosphate 5-phosphatase (SHIP) and Diacylglycerol kinases (DGKs). false +lso1assqjYh080qv839HVSqJS8Q Four major classes of enzymes that attenuate TCR signaling include E3 ubiquitin kinases such as the Casitas B-lineage @DISEASE$ proteins (Cbl-b and c-Cbl), and Itchy (Itch), inhibitory @CHEMICAL$ phosphatases, such as Src homology region 2 domain-containing phosphatases (SHP-1 and SHP-2), inhibitory protein kinases, such as C-terminal Src kinase (Csk), and inhibitory lipid kinases such as Src homology 2 (SH2) domain-containing inositol polyphosphate 5-phosphatase (SHIP) and Diacylglycerol kinases (DGKs). false +IzIjb1Qo9W6fl2QRT57wz3Vmq2A Four major classes of enzymes that attenuate TCR signaling include E3 ubiquitin kinases such as the Casitas B-lineage @DISEASE$ proteins (Cbl-b and c-Cbl), and Itchy (Itch), inhibitory tyrosine phosphatases, such as Src homology region 2 domain-containing phosphatases (SHP-1 and SHP-2), inhibitory protein kinases, such as C-terminal Src kinase (Csk), and inhibitory @CHEMICAL$ kinases such as Src homology 2 (SH2) domain-containing inositol polyphosphate 5-phosphatase (SHIP) and Diacylglycerol kinases (DGKs). false +0zpWaIKOpiY-NoD1YwTjikPHA_E We report on three cases of @DISEASE$ developing after solid organ transplantation treated with @CHEMICAL$. treats +31wUC_HGCNuWmgR5s2Z9JE2YwOQ Effect of Omega-3 and @CHEMICAL$ co-supplementation on serum lipids concentrations in overweight patients with @DISEASE$: A systematic review and meta-analysis of randomized controlled trials. treats +tQTc2NV5p4DwL1JDAS_fdgkjuVY Effect of @CHEMICAL$ and vitamin E co-supplementation on serum lipids concentrations in overweight patients with @DISEASE$: A systematic review and meta-analysis of randomized controlled trials. treats +OxAGZ0ESKd2cwCuFpM9bAUCYXDE @CHEMICAL$ has shown to alleviate apoptosis, and ER stress in the cells and this property can also be used in the treatment of @DISEASE$. treats +l-5v3UXbNRiQ-nxkVg_hKQpwXDI This review discusses the therapeutic perspective of @CHEMICAL$ of ALKs as drug targets in @DISEASE$ and stem cells. treats +sFg1qWlY0IQykdtB78MwL2tiXwE This review discusses the therapeutic perspective of small molecule inhibitors of ALKs as @CHEMICAL$ targets in @DISEASE$ and stem cells. treats +PMXblKgz-iBrmw_f-Y8WixVQy0A Thyroid papillary carcinoma(PTC) is the most @DISEASE$ type of @CHEMICAL$ cancer. false +92yGlft7se08iYjaN9c5lBfNrHw @DISEASE$) is the most common type of @CHEMICAL$ cancer. false +SB_HOzdeKg6pCGP2M7yxDUqvPI4 @CHEMICAL$ papillary carcinoma(PTC) is the most common type of @DISEASE$. false +P_Axb68qAZ3VtYSXJ4NDZM2vtHI @CHEMICAL$ papillary carcinoma(PTC) is the most @DISEASE$ type of thyroid cancer. false +8P58C-Dr3sV25A_YJDjY-p3tvy8 Pancreatic @CHEMICAL$ Tumour of the Proximal Pancreas (@DISEASE$ Rare Pancreatic Tumour: Clinically Malign, Histologically Benign. false +a4cURnL4PQNFJYBVnDbDCwRDAcU Pancreatic @CHEMICAL$ Tumour of the Proximal Pancreas (PPoma)-Ultra @DISEASE$ Pancreatic Tumour: Clinically Malign, Histologically Benign. false +VsgJ9s0GSjfFLCZJAlzfz6MtNak @CHEMICAL$ Tumour of the Proximal Pancreas (@DISEASE$ Rare Pancreatic Tumour: Clinically Malign, Histologically Benign. false +Dgvnw5wCQCYeGUebxzs0VW9BoJ8 @CHEMICAL$ Tumour of the Proximal Pancreas (PPoma)-Ultra @DISEASE$ Pancreatic Tumour: Clinically Malign, Histologically Benign. false +4o5vhJZ9Fz2xjaz6jmhxykUHslA The high-speed sorting of rare autologous @CHEMICAL$ patient DCs from the peripheral blood provides the autologous component of fusion vaccines, and fusion to major histocompatibility complex-unmatched @DISEASE$ cells were produced at high rates. false +pgcuNLZnejMY7SWaus8i8OBSCyw The high-speed sorting of @DISEASE$ autologous @CHEMICAL$ patient DCs from the peripheral blood provides the autologous component of fusion vaccines, and fusion to major histocompatibility complex-unmatched CMT cells were produced at high rates. false +BgfyKW4mP-qfaZ049osokWTbN6g The high-speed sorting of rare autologous @CHEMICAL$ patient DCs from the peripheral @DISEASE$ provides the autologous component of fusion vaccines, and fusion to major histocompatibility complex-unmatched CMT cells were produced at high rates. false +ngOKr6sGIRqaQ8wVGVqQmY_wlyU Expressions of @DISEASE$ @CHEMICAL$ A1 as a prognostic factor in Chinese patients with resectable oesophageal squamous cell carcinoma. false +ndolwXNO2DcwcybN-mPsZTsofq8 Expressions of melanoma-associated @CHEMICAL$ A1 as a prognostic factor in Chinese patients with resectable oesophageal @DISEASE$. false +aa6yGm0lbhe5RE20FgvF_t3Pj9w For both men and women and across all ages, the crude predicted probability of @DISEASE$ caseness was the highest in the rural group, followed by the semi-urban group, and the lowest in the urban @CHEMICAL$. false +OMvwkC5qMZ91f4W1C65S3EE4I9o For both men and women and across all ages, the crude predicted probability of @DISEASE$ caseness was the highest in the rural @CHEMICAL$, followed by the semi-urban group, and the lowest in the urban group. false +7k7o9hDIPNZRa_nKwU8Cu-DD8Bw For both @DISEASE$ and women and across all ages, the crude predicted probability of depression caseness was the highest in the rural group, followed by the semi-urban group, and the lowest in the urban @CHEMICAL$. false +tyt70jH9uA_fOj4bAHdtZY50bNQ For both @DISEASE$ and women and across all ages, the crude predicted probability of depression caseness was the highest in the rural @CHEMICAL$, followed by the semi-urban group, and the lowest in the urban group. false +4E8HrgMBeyTdfx8GCerf6tqvd-0 For both @DISEASE$ and women and across all ages, the crude predicted probability of depression caseness was the highest in the rural group, followed by the semi-urban @CHEMICAL$, and the lowest in the urban group. false +Q0vA_xRINPUXM418DQup_0dyo6Q For both men and women and across all ages, the crude predicted probability of @DISEASE$ caseness was the highest in the rural group, followed by the semi-urban @CHEMICAL$, and the lowest in the urban group. false +9saPB-a5NCd81yv7akH2AStd11g @DISEASE$ NMR experiments also show that this mode of @CHEMICAL$ binding has a minor influence on the binding of histo-blood group antigens and vice versa. false +wV7am0ws6a80cC_dZe2MfyN8hkk CSP NMR experiments also show that this mode of bile acid binding has a minor influence on the binding of @DISEASE$ group @CHEMICAL$ and vice versa. false +hXZqizI7DfNuMWFUDqbfHXrK1UE CSP NMR experiments also show that this mode of bile acid binding has a minor influence on the binding of @DISEASE$ @CHEMICAL$ antigens and vice versa. false +k2bosK68mSXqctiNXJx7l3G2TgU CSP NMR experiments also show that this mode of @CHEMICAL$ binding has a minor influence on the binding of @DISEASE$ group antigens and vice versa. false +u_i5l8zMnPyj241HYeAIk1ok-uQ @DISEASE$ NMR experiments also show that this mode of bile acid binding has a minor influence on the binding of histo-blood group @CHEMICAL$ and vice versa. false +O6p0C-_XIWwXmIYJnlaTDCA3rmI @DISEASE$ NMR experiments also show that this mode of bile acid binding has a minor influence on the binding of histo-blood @CHEMICAL$ antigens and vice versa. false +_UdKzqasgbsMDy5yQIk74a5Ix64 @CHEMICAL$ (NK), which is a member of the subtilisin family, is a potent fibrinolytic enzyme that might be useful for @DISEASE$ therapy. treats +dBKYtbyI48qSUPb0lsdaB0mcuzU To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (@DISEASE$) versus DEB-TACE alone in Chinese hepatocellular carcinoma (HCC) patients.The 28 patients receiving DEB-TACE+RFA and 74 HCC patients receiving DEB-TACE were recruited in this study. false +nplyWfDohZXfQtd74NL_m1AklT0 To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (DEB-TACE+RFA) versus DEB-TACE alone in Chinese hepatocellular carcinoma (HCC) patients.The 28 patients receiving @DISEASE$ and 74 HCC patients receiving DEB-TACE were recruited in this study. false +hWmYBG8bGMUfjQvHFsWmoq9c43E To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (DEB-TACE+RFA) versus @DISEASE$ alone in Chinese hepatocellular carcinoma (HCC) patients.The 28 patients receiving DEB-TACE+RFA and 74 HCC patients receiving DEB-TACE were recruited in this study. false +A4F51TNYxe_t8Sm3M5KfMPXjuW8 To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (DEB-TACE+RFA) versus DEB-TACE alone in Chinese hepatocellular carcinoma (HCC) patients.The 28 patients receiving DEB-TACE+RFA and 74 @DISEASE$ patients receiving DEB-TACE were recruited in this study. false +bdkqcGiHPMP75Gu9VnsceELBe2M To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (DEB-TACE+RFA) versus DEB-TACE alone in Chinese hepatocellular carcinoma (@DISEASE$) patients.The 28 patients receiving DEB-TACE+RFA and 74 HCC patients receiving DEB-TACE were recruited in this study. false +qf7OWFEQ5MeRAt84oHovnjjQbkE To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (DEB-TACE+RFA) versus DEB-TACE alone in Chinese @DISEASE$ (HCC) patients.The 28 patients receiving DEB-TACE+RFA and 74 HCC patients receiving DEB-TACE were recruited in this study. false +BeTtpvPdeijhQFGMna1LoHHRYnY To compare the efficacy of @CHEMICAL$ bead transarterial chemoembolization combined with radiofrequency ablation (DEB-TACE+RFA) versus DEB-TACE alone in Chinese hepatocellular carcinoma (HCC) patients.The 28 patients receiving DEB-TACE+RFA and 74 HCC patients receiving @DISEASE$ were recruited in this study. false +iILzYh49LF9O3XfWPdHmMXbgkh0 Here we assessed the effect of repeated administration of negative or positive allosteric modulators (NAM or @DISEASE$) of mGlu5 on both cognitive performance and (context+cue)-primed @CHEMICAL$ after prolonged abstinence (≥ 45 days). false +_vu0APWLoCTztHt8hT-WyKQrmcU Here we assessed the effect of repeated administration of negative or positive allosteric modulators (@DISEASE$ or PAM) of mGlu5 on both cognitive performance and (context+cue)-primed @CHEMICAL$ after prolonged abstinence (≥ 45 days). false +9TIJoC1PF_XanPiSBo_-juANhb0 Cases were patients with @CHEMICAL$ resistant @DISEASE$ (including 78 patients with isoniazid mono-resistant tuberculosis, 42 with polydrug-resistant tuberculosis, and 77 with multidrug-resistant tuberculosis). treats +M-y81IwZPJN3uRyHMq46lxUVpqk Cases were patients with isoniazid resistant tuberculosis (including 78 patients with @CHEMICAL$ mono-resistant @DISEASE$, 42 with polydrug-resistant tuberculosis, and 77 with multidrug-resistant tuberculosis). treats +QMDqwMdMmCTiBq-fjGoe7g6in9Q Such a facile and efficient self-crosslinking strategy gives the MXene membrane a good antiswelling property for @CHEMICAL$ @DISEASE$ rejection, which is also suitable for many other 2D materials with tunable surface functional groups during membrane assembly. false +iZkYMMuM42GDl7V6HmZpsm6l-rI On the other hand, although initially SDMA was thought to be an innocuous @CHEMICAL$, we now know that it is an outstanding marker of renal function both in human and in animal models, with @DISEASE$ patients on dialysis showing the highest SDMA levels. false +8ew0sQLvDE5BcFqQANFzNe3D3-s Diminished bone @CHEMICAL$ density (i.e., osteopenia or osteoporosis) is associated with increased @DISEASE$ risk. false +9DkFjS42Z2m9Gi5nbJNcIgGUJ0g Diminished bone @CHEMICAL$ density (i.e., osteopenia or @DISEASE$) is associated with increased fracture risk. false +qqzjsMLy9fe8CAlAWNMb6j_sWbk Development of @CHEMICAL$ resistance in @DISEASE$ has major implications for patients' outcome. treats +Cy8Ev8X97_hinWHq-8WLFMmu50Q In this study, we aimed to investigate the functional role and the underlying molecular mechanisms of lncRNA HOXD cluster antisense RNA 1 (HOXD-AS1) in @CHEMICAL$ (DDP) resistance in @DISEASE$. treats +jnVj5Q28_Qx4aSEuNY_7ihiIBgs Comparative @CHEMICAL$ of Several Enhanced @DISEASE$ Vaccine Options for Older Adults: A Randomized, Controlled Trial. false +d4WMLBjhXk2YAgAO5-bsEmy7k3c The current findings did not support improvement in glucose homeostasis following @CHEMICAL$ supplementation in patients with @DISEASE$ under the present study design. treats +BX7C3YzyPCbQLCfNeLX1bD0KnfE Accumulating data implicate a potential role of disturbed @CHEMICAL$ metabolism in @DISEASE$ false +SPHW7DxMuLPhUDzAFAw8DOd6CFw @CHEMICAL$ lindane degradation by alkaline @DISEASE$ green tea. false +B8oMci7JirFQ-9nD8lsdsvb40TQ The most common types of anemia in rheumatoid arthritis (RA) are @CHEMICAL$ deficiency anemia (IDA) and @DISEASE$ (ACD).The differentiation between both is important and challenging. false +T99w7NfedODyVT8Etv7WfOh51js The most @DISEASE$ types of anemia in rheumatoid arthritis (RA) are @CHEMICAL$ deficiency anemia (IDA) and anemia of chronic disease (ACD).The differentiation between both is important and challenging. false +eCsqA_76yxzs0ut3xg35c_6PB3U The most common types of @DISEASE$ in rheumatoid arthritis (RA) are @CHEMICAL$ deficiency anemia (IDA) and anemia of chronic disease (ACD).The differentiation between both is important and challenging. false +WH_sskAT-Yc4HCDxSN5sWVcio7k The most common types of anemia in @DISEASE$ (RA) are @CHEMICAL$ deficiency anemia (IDA) and anemia of chronic disease (ACD).The differentiation between both is important and challenging. false +9e6XR9EVNDZrTbiDEziusgguSaM @CHEMICAL$ Autophagy Augments Its Antitumor Effect against A172 Human @DISEASE$ Cells. false +JR7Zz-cmiCW76spahCciTmcmn0c In conclusion, our results suggest that SIM may serve as a promising treatment with @CHEMICAL$ for improving the efficacy against @DISEASE$. treats +_krqMyD-vPJjheOU9BDppl1Vp7s In conclusion, our results suggest that @CHEMICAL$ may serve as a promising treatment with TAM for improving the efficacy against @DISEASE$. treats +OceHCAJ3_8_hSWUPkPEOF0fzjZo We examined the capability of propagation-based phase-contrast tomography (@DISEASE$ with single-distance phase retrieval for tracking of bone structure and @CHEMICAL$ changes using monochromatic synchrotron light. false +KtHZY4GHInSEC2eVejdtQi0YcsE All of these hypothetical precursors have a conserved ER-signal sequence, a Cysteine (@DISEASE$ sequence forming two @CHEMICAL$ finger motifs and a cyclotide-like region containing several conserved elements including two highly conserved C residues. false +P4SlLk1NtC4N-PDAWOGaP3b6Nck All of these hypothetical precursors have a conserved ER-signal sequence, a Cysteine (@DISEASE$ sequence forming two zinc finger motifs and a cyclotide-like region containing several conserved elements including two highly conserved C @CHEMICAL$. false +MQNDEqQFGkT1irjGrriNGXer16s All of these hypothetical precursors have a conserved ER-signal sequence, a @CHEMICAL$ (@DISEASE$ sequence forming two zinc finger motifs and a cyclotide-like region containing several conserved elements including two highly conserved C residues. false +5NERSJCv1Po9ZtVYhBSIq2Drvm0 Polytopic ligands have become ubiquitous in coordination chemistry because they grant access to a variety of mono- and polynuclear complexes of transition metals as well as @DISEASE$ and @CHEMICAL$. false +ODMukrdtG23daDxQsnhioHk9AZI Polytopic ligands have become ubiquitous in coordination chemistry because they grant access to a variety of @DISEASE$- and polynuclear complexes of transition metals as well as rare-earth and @CHEMICAL$. false +qZy31XUOxbkW-mefNtBiV9SU9_8 @DISEASE$ (CIA) mouse model was used, and TGP and @CHEMICAL$ were intragastrically treated. treats +BKKEQIVpiylP_JmlHwNrKuIooCs Since June of 2008, the patient shows no demonstrable progression of @DISEASE$ and remains asymptomatic on LAR @CHEMICAL$ (30 mgs). treats +7UyVX_naPrNSU0gvrwR0hyohv8Q These findings emphasize the importance of sex as a @CHEMICAL$ variable in @DISEASE$ diseases. false +2t7k4H_5AjRxT7QtGdF0bfPLAS8 These findings emphasize the importance of sex as a @CHEMICAL$ variable in infectious @DISEASE$. false +RLXN-JJ7vwoIiatIJpHnBoli_pw could induce @CHEMICAL$ in bronchoalveolar lavage fluid eosinophils in a murine model of @DISEASE$. false +r42t7ealq1wszGjmgyoJeeCIKhY We included reports from demographic items (sex, age, ethnicity), the @CHEMICAL$ Use @DISEASE$ Identification Test (AUDIT) and experiences of past year discrimination. false +1K5kpD-m9ML3imby06YeHkDqSpc The findings suggest that the cytoprotective and @CHEMICAL$ effects of OA can be blocked by the NOX4 agonist @DISEASE$ false +1HSfTnKPTO1K70f-xUn7SBjdLBI The findings suggest that the cytoprotective and antioxidant effects of OA can be blocked by the NOX4 @CHEMICAL$ @DISEASE$ false +_-w92nw9SSG0N7G7JdbC82wFuwE Multiscale engineering fully exploits the multi-synergy among components to endow the newly designed metal-free multi-sensing air electrode (MSAE) with bifunctional @CHEMICAL$ reduction and evolution activities, pressure @DISEASE$, and photothermal and photoelectric conversion functions in a single electrode, enabling effective regulation of interface properties, electronic/ionic transport, or redox reactions in SRZAB upon various stimulations and establishing multiple working principles. false +-YlQ7EcVbB5HAo0Ojoq2lJCViiI Multiscale engineering fully exploits the multi-synergy among components to endow the newly designed metal-free multi-sensing @DISEASE$ electrode (MSAE) with bifunctional @CHEMICAL$ reduction and evolution activities, pressure sensitivity, and photothermal and photoelectric conversion functions in a single electrode, enabling effective regulation of interface properties, electronic/ionic transport, or redox reactions in SRZAB upon various stimulations and establishing multiple working principles. false +j7-FObvbGoe6ohMDGbitP3sS-Yw Multiscale engineering fully exploits the multi-synergy among components to endow the newly designed @CHEMICAL$ multi-sensing air electrode (MSAE) with bifunctional oxygen reduction and evolution activities, pressure @DISEASE$, and photothermal and photoelectric conversion functions in a single electrode, enabling effective regulation of interface properties, electronic/ionic transport, or redox reactions in SRZAB upon various stimulations and establishing multiple working principles. false +CoC8xg3D5n1sGBkK82Yjuoxdjus Multiscale engineering fully exploits the multi-synergy among components to endow the newly designed @CHEMICAL$ multi-sensing @DISEASE$ electrode (MSAE) with bifunctional oxygen reduction and evolution activities, pressure sensitivity, and photothermal and photoelectric conversion functions in a single electrode, enabling effective regulation of interface properties, electronic/ionic transport, or redox reactions in SRZAB upon various stimulations and establishing multiple working principles. false +ZpVWdVBtfvFkg5f89ZZRSCryqB8 This extensive review of the literature revealed considerable amount of evidence that addition of @CHEMICAL$ might boost the immunomodulatory potential of radiotherapy and RCT regimens in @DISEASE$ treats +1V_5RsR27oyJL4MPtHcOginqV14 This extensive review of the literature revealed considerable amount of evidence that addition of immune checkpoint inhibitors might boost the immunomodulatory potential of @CHEMICAL$ and RCT regimens in @DISEASE$ treats +4sn2DssGWjUFOWjyrWQ28T5K2G4 This extensive review of the literature revealed considerable amount of evidence that addition of immune checkpoint inhibitors might boost the immunomodulatory potential of radiotherapy and @CHEMICAL$ regimens in @DISEASE$ treats +mHAPb_5wPcyxEf7GGi6mQ9AFkw4 • Poor prognosis regarding pituitary function is expected due to possible permanent @DISEASE$ tissue damage that results in the need of permanent @CHEMICAL$ replacement. false +oKmDnFBw4gFBSxrGCP8U0VnHdSU • Poor prognosis regarding @DISEASE$ function is expected due to possible permanent pituitary tissue damage that results in the need of permanent @CHEMICAL$ replacement. false +c2KK30cCvlNhRZxnFFLLP_g9xwQ We propose that the gut microbiota regulates behaviors in mice via production of neuroactive @CHEMICAL$, suggesting that gut-brain connections contribute to the pathophysiology of @DISEASE$ false +wm0g9IM0jPmZS5XLq77KqWkqIPk In sum, thyroid hormones and @CHEMICAL$ might contribute to the cognitive performance of patients with @DISEASE$ and psychotic disorders. treats +ISylUlHhmqtL_jAeT4RPAEzkZAo In sum, thyroid hormones and @CHEMICAL$ might contribute to the cognitive performance of patients with major mood disorders and @DISEASE$. treats +a7kCmK2qFZmhN4jVFBlZsHa0ciw In sum, @CHEMICAL$ and prolactin might contribute to the cognitive performance of patients with major mood disorders and @DISEASE$. treats +-iJyb8lmH_IK6vNFIgJV0CNgfl8 In sum, @CHEMICAL$ and prolactin might contribute to the cognitive performance of patients with @DISEASE$ and psychotic disorders. treats +uyk25hKkiMOXbTSQFClSkISyYlU The use of black mulberry and @CHEMICAL$ solutions was found to be beneficial in preventing and treating @DISEASE$. treats +Ib8dsUL0ctiSIszyqw8rTZ6b69s Einkorn, emmer and spelt had higher @CHEMICAL$ and gluten contents than @DISEASE$ wheat at all four locations. false +uzTscML7t23Gv6k2v7_Py_uB0mY Interestingly, when immunosuppressants were used in combination with infliximab (IFX) or 5-aminosalicylic @CHEMICAL$, a significantly increased risk of opportunistic @DISEASE$ was also observed. false +FRlblQ9voJrwcF8_AoeMi4BhW8I Here, we review recent data on the mechanisms of @CHEMICAL$ induced @DISEASE$ on the different cell types and pathways with a focus on the role of the IL-1 family cytokines and the related IL-33. false +of_9Xv4DRJs-ZZgf_YjHVIn4nHE Administration of sodium @CHEMICAL$ @DISEASE$) is the emerging therapy. false +NwBq0TX3pksDowY3Jwad4_1XHYc Administration of @CHEMICAL$ thiosulfate @DISEASE$) is the emerging therapy. false +nQ2R82nQIQDGLggSRYc3O_3oxF4 All clinically-available ASDs on the market today are effective in at least one of only three preclinical seizure and @DISEASE$ models: the acute maximal electroshock (@CHEMICAL$), the acute subcutaneous pentylenetetrazol (scPTZ) test, or the kindled rodent with chronic evoked seizures. false +uzyyJ67zL5-3qQmMY90DFlwBTMI Verrill (1869) venom contains a pore-forming@CHEMICAL$n suitable for designing new drugs for@DISEASE$r therapy. false +kOC-e2TvyzFdxi3n3N7aKgl0kZg Verrill (1869)@CHEMICAL$m contains a pore-forming protein suitable for designing new drugs for@DISEASE$r therapy. false +z6QbcmHv8YHxXFK99zPSsSXY3nk Our findings demonstrate that FUT8shRNA significantly blocked pericyte activation and the progression of @DISEASE$, achieving intervention effects superior to the small molecule @CHEMICAL$. false +rvnnGAOY9HJwA4uxYxsTMwauPlM Our findings demonstrate that FUT8shRNA significantly blocked pericyte activation and the progression of @DISEASE$, achieving intervention effects superior to the small @CHEMICAL$ inhibitors. false +7zr5_w2jToIlOQK3uh5tRzvkYKU We examine the regulatory interaction between Hippo-YAP/TAZ and the @CHEMICAL$ receptor (AR), as main regulators of @DISEASE$ development, and how uncontrolled expression of YAP/TAZ drives castration resistance by inducing cellular stemness. false +huAuqcljP-_09VEI6szlge5dkYA -microglia with an amoeboid hypertrophic form was continually observed in arcuate @CHEMICAL$ of @DISEASE$ mice during the entire feeding time period. false +HOLE9zAbPZ0GJ8t05wcqhBAH54A Importantly, PMPs exhibited remarkably higher toxicity towards @DISEASE$ cells than free @CHEMICAL$ and had lower escape into extravascular spaces. treats +4S7CJebWVeMOai8T3llNNSNPvJM Pathological complete response after @CHEMICAL$ treatment of stage IV oligometastatic @DISEASE$: the role of pulmonary surgery. treats +pWIbnwnd2DAbr-87nVQVVISTJYs The miR-10b mimic + TGF-β @CHEMICAL$ further promoted the migration and invasion of @DISEASE$ cells. false +4eVSbbSWlozukCSMVRdWeO3_cZM Lipid Modulating Anti-oxidant Stress Activity of @CHEMICAL$ on @DISEASE$ Larval Zebrafish Model. treats +Pq4qa5xl1QLc9ziXNMLVwvGSmvI We found @CHEMICAL$ to be safe and effective for the treatment of @DISEASE$ in our cohort. treats +kWMzqnKWkvTftmHp9XWK0vyAFMg Methods Skin fibroblast cultures from n-ALD and @DISEASE$ patients, and controls were treated with 50 ng/mL of @CHEMICAL$ (PDGF), basic fibroblast growth factor (bFGF) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +4dqEd2T3wJeoPtiko2zJUtrF5Gk Methods Skin fibroblast cultures from n-ALD and @DISEASE$ patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), basic fibroblast growth factor (bFGF) or insulin-like growth factor-1 (@CHEMICAL$) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +u5Ew_tRjzKzwKAyYWmrdUNuTkh0 Methods Skin fibroblast cultures from n-ALD and @DISEASE$ patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (@CHEMICAL$, basic fibroblast growth factor (bFGF) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +JLenwRUjGGt7OGBH--WdO6dih-E Methods Skin fibroblast cultures from n-ALD and @DISEASE$ patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), @CHEMICAL$ (bFGF) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +C5G1WKxPmspLkesp1HajMq0GXg8 Methods Skin fibroblast cultures from n-ALD and @DISEASE$ patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), basic fibroblast growth factor (@CHEMICAL$) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +QqP0cret6ieJcgo_kmXnWYK683U Methods Skin fibroblast cultures from @DISEASE$ and X-ALD patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), @CHEMICAL$ (bFGF) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +TNUE0Iu7-naJZ59PfqhHdNvYJhg Methods Skin fibroblast cultures from @DISEASE$ and X-ALD patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), basic fibroblast growth factor (bFGF) or @CHEMICAL$ (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +WzOE25aywy7REa4HnYhVb6XMXpo Methods Skin fibroblast cultures from @DISEASE$ and X-ALD patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (@CHEMICAL$, basic fibroblast growth factor (bFGF) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +AXFsYSOid6-PNP1T7OxQ7K68ZCM Methods Skin fibroblast cultures from @DISEASE$ and X-ALD patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), basic fibroblast growth factor (bFGF) or insulin-like growth factor-1 (@CHEMICAL$) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +ghvuK72EnkYkLsfYju1vfEA3mdY Methods Skin fibroblast cultures from @DISEASE$ and X-ALD patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), basic fibroblast growth factor (@CHEMICAL$) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +EHmUk3bx15CMDLOlFdEuVxSYVIg Methods Skin fibroblast cultures from @DISEASE$ and X-ALD patients, and controls were treated with 50 ng/mL of @CHEMICAL$ (PDGF), basic fibroblast growth factor (bFGF) or insulin-like growth factor-1 (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +lG_QJnHjQydI5R4U2sQSMQmDZNY Methods Skin fibroblast cultures from n-ALD and @DISEASE$ patients, and controls were treated with 50 ng/mL of platelet-derived growth factor (PDGF), basic fibroblast growth factor (bFGF) or @CHEMICAL$ (IGF-1) to examine DNA synthesis by 5-bromo-2'-deoxyuridine (BrdU) incorporation. treats +n1ReEU3k293CwEj9AC-TmsOMdaU For productive parameters and further tests @DISEASE$ male birds for each experimental @CHEMICAL$ were used. false +7JA0vrvkTWYQkmcptt0QfOgonfg @CHEMICAL$, a widely prescribed anti-diabetic drug, also exerts @DISEASE$ effects in different types of cancers. false +JGRFyyU2Tn_uzShyupETvtQVcG0 Metformin, a widely prescribed anti-diabetic @CHEMICAL$, also exerts @DISEASE$ effects in different types of cancers. false +MVgviqNld8G4lFpb-aRErNDN5Cs In this study, the @DISEASE$ of ten-selected class III APIs with the two @CHEMICAL$, PVPVA 64 and HPMC-E5, have been prepared by spray-drying, film-casting, and their amorphicity at T0 was investigated by modulated differential scanning calorimetry and powder X-ray diffraction. false +wPFgXvqN8E6CZ-U1Z7oTkwm7_cA In this study, the ASD of @DISEASE$ class III APIs with the two @CHEMICAL$, PVPVA 64 and HPMC-E5, have been prepared by spray-drying, film-casting, and their amorphicity at T0 was investigated by modulated differential scanning calorimetry and powder X-ray diffraction. false +6fGAAY8f6zZFWvjaGeVjLp3ikeo Among 58 patients, 33 (56.9%) had better outcome after active treatment (recovery group), and 25 (44.1%) had worse @DISEASE$ (deterioration @CHEMICAL$). false +wUaYaEckh99jdtv2-TEx1NO4ffg Among 58 patients, 33 (56.9%) had better outcome after active treatment (recovery @CHEMICAL$), and 25 (44.1%) had worse @DISEASE$ (deterioration group). false +eJSYkaONBCynjuH9ZUswagOzb1I Although the focus of @DISEASE$ treatment is the @CHEMICAL$ control of the disease, a new perspective must be given to the functional rehabilitation of these patients, especially when considering the recent increase in survival. false +TWp3ppO_p3QM2w7ycUeK5fW0dK0 Although the focus of acromegaly treatment is the @CHEMICAL$ control of the @DISEASE$, a new perspective must be given to the functional rehabilitation of these patients, especially when considering the recent increase in survival. false +5NOsvJsXPll0QiEsxXBez7yj_JY @CHEMICAL$ RT to the @DISEASE$ bed and adjacent lymph nodes. false +tyI_lL9Erw6CbdsJmfHhoIMVCNI Targeting ADP-ribosylation by @CHEMICAL$ in @DISEASE$ and related disorders. treats +y44moJYlbKdWIKr_0fcy6c6GcDU Targeting ADP-ribosylation by @CHEMICAL$ in acute myeloid leukaemia and related @DISEASE$. treats +Z5AM-t-IrnNmDvdqtrjlmA1hiD4 Plasma levels of selected circulating miRNAs were then assessed in combination with @DISEASE$ cardiac troponin T (hsTnT) and N-terminal probrain natriuretic @CHEMICAL$ (NT-proBNP). false +OHRF8lsxkzcw6qihsBg0zat2-Zk The @DISEASE$ effect of GnRHa is similar to that of surgical castration or chemotherapy, through reversibly inhibiting ovarian function and downregulating the @CHEMICAL$ level in premenopausal female. false +zxI82jz72gekz30IP_OAMgBro74 Targeting Human @DISEASE$ by Liposomes Modified with @CHEMICAL$ Protein Binders. false +Vp1d0aYgEKXqS-cfLiC9xIESO7w Targeting Human @DISEASE$ by Liposomes Modified with Anti-Fibrin @CHEMICAL$ Binders. false +YIxMEfeLJzZ2EPHTl0zeJDy69Pc A @CHEMICAL$ of cytoprotective genes is regulated by heterodimers composed of the cap'n'collar (@DISEASE$) family member Nrf2 and one of the small Maf (sMaf) proteins (MafF, MafG, or MafK) through the antioxidant response element (ARE, also referred to as the CNC-sMaf binding element [CsMBE]). false +k8a8ZHvO04l5NAcH-PK4N1wGtJ4 A group of cytoprotective genes is regulated by heterodimers composed of the cap'n'collar (CNC) family member Nrf2 and one of the small Maf (sMaf) @CHEMICAL$ (MafF, MafG, or MafK) through the antioxidant response element (ARE, also referred to as the @DISEASE$ binding element [CsMBE]). false +gYBqQZ4uEH6_pReCa8t-ijsNnN4 A group of cytoprotective genes is regulated by heterodimers composed of the cap'n'collar (@DISEASE$) family member Nrf2 and one of the small Maf (sMaf) proteins (MafF, MafG, or MafK) through the @CHEMICAL$ response element (ARE, also referred to as the CNC-sMaf binding element [CsMBE]). false +oMkUCxxzj6UyYZn8dKuYIC_oyoA A group of cytoprotective genes is regulated by heterodimers composed of the cap'n'collar (@DISEASE$) family member Nrf2 and one of the small Maf (sMaf) @CHEMICAL$ (MafF, MafG, or MafK) through the antioxidant response element (ARE, also referred to as the CNC-sMaf binding element [CsMBE]). false +rY6XksM5KRRDeowXJ9QOJyKyEc0 A group of cytoprotective genes is regulated by heterodimers composed of the cap'n'collar (CNC) family member Nrf2 and one of the small Maf (sMaf) proteins (MafF, MafG, or MafK) through the @CHEMICAL$ response element (ARE, also referred to as the @DISEASE$ binding element [CsMBE]). false +pvY5a2frsq2KMHlhFMVGljlaE3w A @CHEMICAL$ of cytoprotective genes is regulated by heterodimers composed of the cap'n'collar (CNC) family member Nrf2 and one of the small Maf (sMaf) proteins (MafF, MafG, or MafK) through the antioxidant response element (ARE, also referred to as the @DISEASE$ binding element [CsMBE]). false +v4R3ymg7YTgg0ws5dGxgABrpmy4 A Kaplan-Meier curve showed a significantly lower 365-day survival rate in the @DISEASE$ @CHEMICAL$ than in the other groups. false +hF1c8mTBfJuLUHA8Lt8f6jL2w3Y @CHEMICAL$ therapy should target this molecular axis controlling the @DISEASE$ microenvironment. treats +fWMofq9IM5hKbq0dmuvGiT8cvDM Herein we report recent evidence of the role of kisspeptins in @DISEASE$ @CHEMICAL$ and we examine the prospective of targeting the kisspeptin pathways leading to a better prognosis in patients with malignant diseases. false +5KMCOP9ZYf19Sg-pMi1cOyyOpTw Herein we report recent evidence of the role of kisspeptins in cancer @CHEMICAL$ and we examine the prospective of targeting the kisspeptin pathways leading to a better prognosis in patients with malignant @DISEASE$. false +t77arrJ2ddgGKdwIBgOBweu6INs Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood lipids (total cholesterol, @CHEMICAL$, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting @DISEASE$ glucose. false +jtywMxKyX1qBeWdZogeelqRYkko Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood @CHEMICAL$ (total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood glucose. false +jYHqur0lxm0TjYwfai5mDfMPinM Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, low-density lipoprotein, and @CHEMICAL$) and fasting blood glucose. false +ZF7LY81M70Qfx_gdOL3P_4j2jN8 Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ lipids (total cholesterol, @CHEMICAL$, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood glucose. false +dc_D-t9kWqGMVkamfAtyKYC8cf0 Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood lipids (total @CHEMICAL$, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting @DISEASE$ glucose. false +9sjBNpp9urvbx5iWRM_z6iT_hw0 Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, @CHEMICAL$, and high-density lipoprotein cholesterol) and fasting @DISEASE$ glucose. false +Cx46PK17HRJJ_3czn3D2LzzVJFo Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ lipids (total cholesterol, triglycerides, @CHEMICAL$, and high-density lipoprotein cholesterol) and fasting blood glucose. false +AVOwUE8x9Tz2S7WrSJCNKNPWykc Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, low-density lipoprotein, and @CHEMICAL$ cholesterol) and fasting @DISEASE$ glucose. false +uXEkpGWnMAm6b0eXYkMK31aPfDs Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood @CHEMICAL$. false +HaZR_Uebqs-gy6Ci_khzNBQb9AY Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood lipids (total cholesterol, @CHEMICAL$, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood glucose. false +0IqNbh04MrkZGgxsJClySb2SppI Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ lipids (total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood @CHEMICAL$. false +dhHVqFXhGNTJipS1m3iLIP4gyCQ Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, low-density lipoprotein, and @CHEMICAL$ cholesterol) and fasting blood glucose. false +BhWkjIScl2-_cWiMyzibEqRIbsY Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ lipids (total cholesterol, triglycerides, low-density lipoprotein, and @CHEMICAL$ cholesterol) and fasting blood glucose. false +TPFpHbCSz9yNtInWuufLkMdWw3U Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood @CHEMICAL$ (total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting @DISEASE$ glucose. false +6c9Aj1Altf8a3Iy5etJjxv-6LgI Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood lipids (total @CHEMICAL$, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood glucose. false +FMHy9KYyMpGGBp0AghgFhsuyrCc Data were collected using: structured questionnaires, measurements of weight, height, and @DISEASE$ pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, @CHEMICAL$, and high-density lipoprotein cholesterol) and fasting blood glucose. false +oa4Et9onwljLqZHNXHvQA5eGBHE Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting @DISEASE$ @CHEMICAL$. false +vmjYogZHHMLSWI9pZCkEzrmooYc Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ lipids (total cholesterol, triglycerides, low-density lipoprotein, and @CHEMICAL$) and fasting blood glucose. false +wL6aE_xiLqR-nuT8M0WOkwqe_vw Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of blood lipids (total cholesterol, triglycerides, low-density lipoprotein, and @CHEMICAL$) and fasting @DISEASE$ glucose. false +BDVuUxkFsdQLEf0cXD2T7pVBclo Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ lipids (total @CHEMICAL$, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood glucose. false +AkiPVML9XOSnJ8m4KhfmIifBJw4 Data were collected using: structured questionnaires, measurements of weight, height, and blood pressure, and laboratory examination of @DISEASE$ @CHEMICAL$ (total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol) and fasting blood glucose. false +FMY4nJnZsGupv0zBZA5KQvpghSA Several members of the @DISEASE$ G @CHEMICAL$ receptor family (Mrgprs) have become promising targets in pain research. false +Hc9o58kkU945QoJpIeYi2XgFB0U She had evidence of @DISEASE$ four hours after receiving @CHEMICAL$ contrast. false +gZqv1OCvFtzYUjJHoQ1jnNMqwfQ Behaviorally, compared with the control @CHEMICAL$, adolescent chronic stress increased @DISEASE$ behaviors as shown in decreased sucrose preference (54.96 ± 1.97% vs. 43.11 false +Sq-AGFUYcUEofbl7P9mXIJEzXGc Behaviorally, compared with the control group, adolescent chronic stress increased @DISEASE$ behaviors as shown in decreased @CHEMICAL$ preference (54.96 ± 1.97% vs. 43.11 false +gzb3nG3OQZz9AZvo4uD5UMXbyP0 However, @DISEASE$ fibrils are also found in a functional context, whereby their structural, mechanical and thermodynamic properties are exploited by @CHEMICAL$ systems. false +VsoKeU-AyTa6hOm2g9Jpul1FEjw We established that activation of the transmembrane @CHEMICAL$ aminopeptidase N (ANPEP, also known as CD13) tethers the IQ motif containing, guanosine triphosphate hydrolase activating protein 1 (IQGAP1) scaffolding protein at the plasma membrane, thus stimulating the recycling regulator ADP-ribosylation factor 6 (@DISEASE$) to ensure proper recycling of β1-integrin and other membrane components impacting cell attachment. false +TyxeZRotqjL-FjgpjlP_VztQWWs We established that activation of the transmembrane molecule aminopeptidase N (ANPEP, also known as CD13) tethers the IQ motif containing, @CHEMICAL$ hydrolase activating protein 1 (IQGAP1) scaffolding protein at the plasma membrane, thus stimulating the recycling regulator ADP-ribosylation factor 6 (@DISEASE$) to ensure proper recycling of β1-integrin and other membrane components impacting cell attachment. false +Sw9ciPkT-i5jz1L3Jt-_mW0YJmg We established that activation of the transmembrane molecule aminopeptidase N (ANPEP, also known as CD13) tethers the IQ motif containing, guanosine triphosphate hydrolase activating protein 1 (IQGAP1) scaffolding protein at the plasma membrane, thus stimulating the recycling regulator @CHEMICAL$ factor 6 (@DISEASE$) to ensure proper recycling of β1-integrin and other membrane components impacting cell attachment. false +sLq5beXV6dU4bOpAdcivJMF9EJc We established that activation of the transmembrane molecule aminopeptidase N (ANPEP, also known as CD13) tethers the IQ motif containing, guanosine triphosphate hydrolase activating @CHEMICAL$ 1 (IQGAP1) scaffolding protein at the plasma membrane, thus stimulating the recycling regulator ADP-ribosylation factor 6 (@DISEASE$) to ensure proper recycling of β1-integrin and other membrane components impacting cell attachment. false +GdGY9vLhS-63aqb7oockGKTA97Y We established that activation of the transmembrane molecule aminopeptidase N (ANPEP, also known as CD13) tethers the IQ motif containing, guanosine triphosphate hydrolase activating protein 1 (IQGAP1) scaffolding @CHEMICAL$ at the plasma membrane, thus stimulating the recycling regulator ADP-ribosylation factor 6 (@DISEASE$) to ensure proper recycling of β1-integrin and other membrane components impacting cell attachment. false +wLJw-5gKJ1R2r_JtnIP9OCEBR6E @CHEMICAL$ liver and @DISEASE$ in zebrafish (Danio rerio) via abnormal expression of miR-125 regulated by PKCα/Nrf2/p53 signaling pathways. false +R9MzozgQBv6lRl7Z9w1jb2uyI2E These observational data show that, despite their high-risk profile, more than half of patients under LLT, both @DISEASE$ and women, did not achieve the recommended target levels for LDL-C, and a large proportion also had abnormal @CHEMICAL$ and/or TG. false +OSPEEyqmZB_IU8Delv-ma31wmgI These observational data show that, despite their high-risk profile, more than half of patients under LLT, both @DISEASE$ and women, did not achieve the recommended target levels for @CHEMICAL$, and a large proportion also had abnormal HDL-C and/or TG. false +52gvetyKEK52vzxBD8aFUi2yxlU Genetic @CHEMICAL$ For @DISEASE$ In The Era Of Precision Medicine. false +TdNSD4TsTqo3_wKZ7RBC-2mhixE Genetic @CHEMICAL$ For Hepatocellular Carcinoma In The @DISEASE$ Of Precision Medicine. false +LZBg442sZPKojtQXr9t6V322fXc Dose-dependent effect of aerobic exercise on inflammatory @CHEMICAL$ in a randomized controlled trial of women at high risk of @DISEASE$. false +Sh3Nnv7PFxiW-mdkHLSjscApfHM Activities of @CHEMICAL$ antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +yJ1KOSF43DE2hV2xr24_VEq5tsc Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), @CHEMICAL$ peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +cM1u6eCTAhXSMjQ-YHchD6T-R8M Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), @CHEMICAL$ (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +ApG1sIPK5oqXJIX2YElQ3khu6I8 Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione @CHEMICAL$ (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +YHgwIgUUthfQwadXTkhY57L0ct8 Activities of enzymatic antioxidants such as @CHEMICAL$ dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +6rf2UekqEps2HWbQhoSBRCB6I6Q Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like @CHEMICAL$, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +rkCJqBGdlt_BaFHCNSgFoMoCHjI Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic @CHEMICAL$ like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +UwEAFxyB7ftIUXNIWFxjcxkVoDA Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced @CHEMICAL$ (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +vqFWxH3jbQ3ucrwbGM32bseHhQw Activities of enzymatic antioxidants such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, @CHEMICAL$, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +rP9CjAv4NcJ2GK7tk9WeFfrhZxY Activities of enzymatic @CHEMICAL$ such as superoxide dismutase (@DISEASE$), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST) in erythrocytes and heart tissue and the levels of nonenzymatic antioxidants like vitamin C, vitamin E, and reduced glutathione (GSH) in plasma and heart tissue were decreased in ISO-induced rats. false +S0Pr78hcEi3e-J-4G3aasiZ5ne0 However, MTNR1B loss in @DISEASE$ mediated increased CSC properties, chemoresistance, and tumor progression by releasing @CHEMICAL$'s repression of β-catenin signaling. false +5bZ-8ETqlAmRv8Fu-rqlHvzWV34 However, MTNR1B loss in chordoma mediated increased @DISEASE$ properties, chemoresistance, and tumor progression by releasing @CHEMICAL$'s repression of β-catenin signaling. false +5CQ8WifuvBvpzJKz-7dqX4P3iOQ However, MTNR1B loss in chordoma mediated increased CSC properties, chemoresistance, and @DISEASE$ progression by releasing @CHEMICAL$'s repression of β-catenin signaling. false +AkPnklFwvfSKsHZScQo-sZgs_cE Most data identified concerned the human cytomegalovirus (CMV), and meta-analysis of eligible studies revealed that evidence of @DISEASE$ was associated approximately three-fold with MD compared to controls, however the timing of the infections was indeterminate as the pooled analyses combined antiviral serological markers with viral @CHEMICAL$ markers. false +vkOQWkdwhPvsPHV6QwEYVngvJVc Also, faster improvements in QoL lead to better patient compliance, but very few studies compare @DISEASE$ traditional and @CHEMICAL$ timing. treats +YJZX4G7ZkH6UJBgq-tSmMTuuzFM Deep circumferential @CHEMICAL$ @DISEASE$ after coronary lithotripsy. false +w5699GRFT042Cdztd0uZAEW5ss8 A triple-blinded controlled trial was conducted among 45 female RA patients with @DISEASE$ randomized into three treatment groups as follows: Group A: scaling and root planing (SRP) with 0.2% @CHEMICAL$ mouthwash as an adjunct (n = 15), Group B: SRP with MEC as an adjunct (n = 15), and Group C: SRP alone (n = 15). treats +K8F3k5pMZiSXX01F7r0oE_uHSAA Our patient had an Ocular @DISEASE$ Score of 1, considering right @CHEMICAL$ detachment and perforating injury. false +b8n9whJk8SVa_JN1U_yY_g8iI2c Our patient had an Ocular Trauma Score of 1, considering right @CHEMICAL$ detachment and perforating @DISEASE$. false +acNt1UOndLJpfBie5L68DRjTMMA experiments showed that our @CHEMICAL$ peptide hydrogel exhibits outstanding antimicrobial activity while can efficiently reduce glucose concentration of blood samples, showing great potential as promising @DISEASE$ dressings. treats +aVBZRYCNDTICQ1fUIe1MCbyR-XY experiments showed that our GOx-loaded peptide hydrogel exhibits outstanding antimicrobial activity while can efficiently reduce @CHEMICAL$ concentration of @DISEASE$ samples, showing great potential as promising diabetic wound dressings. false +nJjiliAS_th6NycG-DeWF3h5830 experiments showed that our GOx-loaded @CHEMICAL$ hydrogel exhibits outstanding antimicrobial activity while can efficiently reduce glucose concentration of @DISEASE$ samples, showing great potential as promising diabetic wound dressings. false +Hg_F1osK0Td-XxOO4fMAzXhjj6M The simulated @DISEASE$ distributions explain the spectroscopic evidence of surface perturbation by soft ions with a negative surface excess consistent with an increased surface tension of @CHEMICAL$. false +PWJrDELjj2qF0pwh1oE_xjyO-vw The simulated @DISEASE$ distributions explain the spectroscopic evidence of surface perturbation by soft @CHEMICAL$ with a negative surface excess consistent with an increased surface tension of salt solutions. false +D93fbFHMEGohuvv9MPyD-eCVAkc Long noncoding RNAs (lncRNAs) are emerging as important regulators of @DISEASE$ @CHEMICAL$. false +fc-0MCR0N4gozhB5rNNWJzAOTu0 Inhibition of the aberrant A1CF-FAM224A-miR-590-3p-ZNF143 positive feedback loop attenuated malignant @CHEMICAL$ behaviors of @DISEASE$ cells. false +aoa0gUbNpckQJdKl9zr2tALrt9Y Participants completed a general questionnaire that asked about education, occupation, number of children, delivery method, history of infant hospitalization, breastfeeding, mothers' and infants' ages, cause of infertility (ART @CHEMICAL$), and history of @DISEASE$. false +yTes6bX6m-IF5dSRnrSdK2oaibw A mixed-method study including a survey on risk factors for @DISEASE$ and understanding of @CHEMICAL$ content. false +SuV9eygP5Gyl8ripnuq5hof-H9c The concordance of a lymphocytic response to viral antigens and insulin suggests that the viruses of the family Paramyxoviridae in some persons initiate a cascade of immune reactions leading to the development of @DISEASE$, the tatter's type is determined by the nature of an immune system response to viral @CHEMICAL$ and insulin. false +PP6TGBP2SoZfuBZMMFePCV7VHwE The concordance of a lymphocytic response to viral @CHEMICAL$ and insulin suggests that the viruses of the family Paramyxoviridae in some persons initiate a cascade of immune reactions leading to the development of @DISEASE$, the tatter's type is determined by the nature of an immune system response to viral antigens and insulin. false +t4zOfVXUPbfYO4yHjtlhB_T8OWY The results highlight the self-assembling nature of the conformationally flexible peptides in aqueous environment and support the hypothesis that @DISEASE$ formation is the intrinsic property of the @CHEMICAL$ chain. false +Z9JDhY2PZwmuK1Bt9_8Yb1IOS00 The results highlight the self-assembling nature of the conformationally flexible peptides in aqueous environment and support the hypothesis that amyloid formation is the @DISEASE$ property of the @CHEMICAL$ chain. false +Wg4jZ3ETwhzj4ElNFfH6Zsxvw34 The results highlight the self-assembling nature of the conformationally flexible @CHEMICAL$ in aqueous environment and support the hypothesis that @DISEASE$ formation is the intrinsic property of the polypeptide chain. false +FSmSqogpJADSfZqsrV2hhnm6izc The results highlight the self-assembling nature of the conformationally flexible @CHEMICAL$ in aqueous environment and support the hypothesis that amyloid formation is the @DISEASE$ property of the polypeptide chain. false +WKROX3OMgdHK5UTkW_gI-SQuKu8 We therefore postulated that @CHEMICAL$ administration may prevent @DISEASE$. treats +6zw9HLlzW1tiGL3ST0SqJ7h_aVA They included anti-Müllerian @CHEMICAL$ and genes involved in the formation of the @DISEASE$ barrier, which are specific to Sertoli cells (SCs). false +V6b73YNVEHRwbTSHoqhrjJZ7qxA They included anti-Müllerian @CHEMICAL$ and genes involved in the formation of the blood-testis barrier, which are specific to Sertoli cells @DISEASE$). false +kstJWmXBEx9fR23VtiFOyK2Hc2Y Moringa microencapsulates with soy @CHEMICAL$ isolate proved to be a better carrier of bioactive compounds of both total phenolic content and 2,2-diphenyl-1-picrylhydrazyl activity at inlet @DISEASE$ temperature in the range of 140-180 ℃. false +DfJ2buyhdmPkhF1ogaRYp5-D98k Moringa microencapsulates with soy protein isolate proved to be a better carrier of bioactive compounds of both total @CHEMICAL$ content and 2,2-diphenyl-1-picrylhydrazyl activity at inlet @DISEASE$ temperature in the range of 140-180 ℃. false +gHzNcgVDLXjXXru33sMM5vdYkvQ Here, we provide a comprehensive review on how this particular epigenetic mark is regulated within cells and its emerging role as a potential therapeutic target in @DISEASE$, along with an update on the current research into advancing the generation of more potent and selective @CHEMICAL$ against known H3K9 methyltransferases and demethylases. treats +5yAZkJnlhZc7qj2taPTJtR11nfo , for @CHEMICAL$ @DISEASE$ storages, respectively. false +o0-ruXZ-7l5Hy5oK5X99yNuGAlg Impact of @CHEMICAL$ Therapy upon Extrahepatic Manifestations of @DISEASE$. treats +tjIwu0IHAGIGM43X3mEUz0Hn2zU The procedure consisted of the following steps: @DISEASE$ agar test, 2. measurement of the surface tension (ST) of the medium using the du Nouy method before and after submerged culture, 3. qualitative and quantitative assessment of @CHEMICAL$ by HPLC. false +Ek8fkHV2i-juWZ3lqoD7EQR9xAU The procedure consisted of the following steps: @DISEASE$ @CHEMICAL$ test, 2. measurement of the surface tension (ST) of the medium using the du Nouy method before and after submerged culture, 3. qualitative and quantitative assessment of surfactin by HPLC. false +_QiHan0UY4UOntawek0eihzJO9E Inducing necrosis is also important in attracting more immune cells to the cancer site via the release of danger-associated @CHEMICAL$ patterns from @DISEASE$ cells. false +XEWN25ncg6YQkGVyLOukH4CdQ7Q Inducing necrosis is also important in attracting more immune cells to the @DISEASE$ site via the release of danger-associated @CHEMICAL$ patterns from cancer cells. false +ECEoBeUCQA6hnh73OS7Tu6p7FhA In this review, we focus on the influence of IL-10, IL-4 and TGF-β on various types of cancer as well as potential of these selected cytokines to serve as new @CHEMICAL$ which can support effective therapies for @DISEASE$ patients. false +3Io74yKX4lvFtksJs45OKaRDeEE In this review, we focus on the influence of IL-10, IL-4 and TGF-β on various types of @DISEASE$ as well as potential of these selected cytokines to serve as new @CHEMICAL$ which can support effective therapies for cancer patients. false +hwR-WpvumpcHZZT9VvRrEEDZgO8 These findings suggest that @DISEASE$ in the absence of PTSD diagnosis does not @CHEMICAL$ to stronger craving for alcohol. false +towY30MKIa8N2aC0ir83Fz-Cyjk These findings suggest that @DISEASE$ in the absence of PTSD diagnosis does not lead to stronger craving for @CHEMICAL$. false +Kbb-EJjtjeCx-v4hswH9TmhW108 These findings suggest that trauma in the absence of @DISEASE$ diagnosis does not lead to stronger craving for @CHEMICAL$. false +z8kaSRUlCq83VsgGRxxGcsNlZBQ These findings suggest that trauma in the absence of @DISEASE$ diagnosis does not @CHEMICAL$ to stronger craving for alcohol. false +fknSwtB6q8IZB0UZZgvbBkxzaOw The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of @DISEASE$ in myocardial, including @CHEMICAL$ regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +Vk6m8Le7A1hb8YkB4t32Cjen_m8 The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of ERS in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous @CHEMICAL$ (CHOP), caspase-12 and caspase-3. false +hm0gwUC2DS8uFMKQXz6qYrorwgg The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of @DISEASE$ in myocardial, including glucose regulatory @CHEMICAL$ 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +6qfWTYCCR2snWb1rNaBdCMuHR7Q The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of ERS in myocardial, including glucose regulatory @CHEMICAL$ 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +W4XUeLQQl6uoXvlW4cIWYPu_Bn4 The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker @CHEMICAL$ of ERS in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +EINuvmICaI_u3aW2mDvA0wZLrew The histopathological changes of myocardial were observed by @CHEMICAL$ (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of @DISEASE$ in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +U5ByXzb2PnlLou1PvayXeVLuqNo The histopathological changes of myocardial were observed by @CHEMICAL$ (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of ERS in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +2T6cuS442k9HUtFO_cQz24sXMm0 The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of @DISEASE$ in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic @CHEMICAL$ reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +fUQjGaCxOtMhOV7C27BKq44f_A4 The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by @CHEMICAL$ linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of @DISEASE$ in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +rX6VNdNqSL8TsM_pmuxn9BT8-ks The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of @DISEASE$ in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous @CHEMICAL$ (CHOP), caspase-12 and caspase-3. false +_ihALG95WbsFX-Ydh2nesxp23g8 The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of ERS in myocardial, including @CHEMICAL$ regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +QQmfcaEulyNKjNmi28YkaM6YBAo The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of tumor necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker @CHEMICAL$ of @DISEASE$ in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +uaKJsIgchXhPmaTHBFs_gPMpc4g The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by enzyme linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of ERS in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic @CHEMICAL$ reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +X00U69YthGxIDx7xsCVbWuS_NSg The histopathological changes of myocardial were observed by hematoxylin-eosin (HE) staining, the levels of @DISEASE$ necrosis factor-α (TNF-α), interleukins (IL-1β and IL-6) in serum and myocardial were detected by @CHEMICAL$ linked immunosorbent assay (ELISA), and Western Blot was used to detect the expression of the marker proteins of ERS in myocardial, including glucose regulatory protein 78 (GRP78), C/EBP cyclic adenosine phosphate reaction primitive binding transcription factor homologous protein (CHOP), caspase-12 and caspase-3. false +O5it7klR53LEBV0u0DAk_O-Niws Between 1998 and 2016, 89 patients with non-metastatic @DISEASE$ were treated with surgery combined with six courses of doxorubicin and @CHEMICAL$ and hyperfractionated radiation therapy (42-60 Gy/1.5 Gy twice daily). treats +A98WiFtfz1zLfwOeZkggDF5T5OM Between 1998 and 2016, 89 patients with non-metastatic @DISEASE$ were treated with surgery combined with six courses of @CHEMICAL$ and ifosfamide and hyperfractionated radiation therapy (42-60 Gy/1.5 Gy twice daily). treats +HpKB8nLVWlFK3N5bXuIIE-0aiAE @DISEASE$ occurred in 11% (14/126) of grafts in group 1, 9% (11/128) of grafts in group 2, and 1% (2/202) of grafts in group 3 (odds ratio for @CHEMICAL$ group = 0.38, 95% confidence interval, 0.22-0.64; treats +yrKi90hv1zbKcyFIvsvNVnKGg74 @CHEMICAL$ studies on atrial fibrillation, the bundle branch block and @DISEASE$ perpetua in particular secured him a place in medical history. false +PapPRB-mBt109dxP6qA5Sc-vglA @CHEMICAL$ studies on @DISEASE$, the bundle branch block and arrhythmia perpetua in particular secured him a place in medical history. false +jyNzby8Y80mqoyFMc--yVT8v2kg @CHEMICAL$ studies on atrial fibrillation, the @DISEASE$ and arrhythmia perpetua in particular secured him a place in medical history. false +sawelGMYpVpAFxIlHYksm8OUR8U Compared to NEC group, @CHEMICAL$ NEC mice had reduced @DISEASE$ severity, reduced inflammation markers IL-6 and TNF-α expression and increased intestinal stem cell marker Lgr5 + expression. treats +AqLQkzXkkwlzPkZa9tkKsjze9v8 Compared to NEC group, @CHEMICAL$ @DISEASE$ mice had reduced disease severity, reduced inflammation markers IL-6 and TNF-α expression and increased intestinal stem cell marker Lgr5 + expression. treats +Y2fIKKtcpzekXspg8Ib0zWBCtUg Compared to @DISEASE$ @CHEMICAL$, lactoferrin-treated NEC mice had reduced disease severity, reduced inflammation markers IL-6 and TNF-α expression and increased intestinal stem cell marker Lgr5 + expression. false +LYDUZDc_4nmlmnelBFmYVjDOIJE The @DISEASE$ vesicle probe exhibited high sensitivity and selectivity for hydrazine recognition in presence of various competitive species such as @CHEMICAL$, anions, and neutral species. false +e0zwQTjmbzPCdmDLX7iPhvopo3s The HSP-RDL vesicle probe exhibited high @DISEASE$ and selectivity for @CHEMICAL$ recognition in presence of various competitive species such as cations, anions, and neutral species. false +5YX6JwKKt58rYVB8N1VcvOynOTM The @DISEASE$ vesicle probe exhibited high sensitivity and selectivity for hydrazine recognition in presence of various competitive species such as cations, @CHEMICAL$, and neutral species. false +lLD9HwFCHmuUh7PUxJ8fvD8IBSo The @DISEASE$ vesicle probe exhibited high sensitivity and selectivity for @CHEMICAL$ recognition in presence of various competitive species such as cations, anions, and neutral species. false +wFeo21-vk47JwWchYhQHtotqDrk The @DISEASE$ vesicle @CHEMICAL$ exhibited high sensitivity and selectivity for hydrazine recognition in presence of various competitive species such as cations, anions, and neutral species. false +NysGmK49cRo0Oumk8JCzmU2VHxE The HSP-RDL vesicle probe exhibited high @DISEASE$ and selectivity for hydrazine recognition in presence of various competitive species such as @CHEMICAL$, anions, and neutral species. false +xTapAZCaMQ_Rrblf2TBJALtBn5Q The HSP-RDL vesicle @CHEMICAL$ exhibited high @DISEASE$ and selectivity for hydrazine recognition in presence of various competitive species such as cations, anions, and neutral species. false +YecA17c3WE76MciZUA25Bqbo3ls The HSP-RDL vesicle probe exhibited high @DISEASE$ and selectivity for hydrazine recognition in presence of various competitive species such as cations, @CHEMICAL$, and neutral species. false +NF2BJ8Knt8VTuyahGgDmIlB9b_o In general, dietary guidelines for patients with @DISEASE$ recommend a hypocaloric diet to achieve a normal weight, but there is a lack of detailed instructions on specific @CHEMICAL$ and foods to prevent diabetes-related outcomes. treats +te9u5zAuEnQ6eS-g_xgqSeqhWHY Effect of @DISEASE$ @CHEMICAL$ on Radiation-Induced Cognitive Dysfunction in Rats. false +vLR3E4B6fvd8_eoA6opPC9dg-38 Here we determined whether PDXs and CRCs of the same @DISEASE$ origin maintain the biological fidelity and complement each for translational research and @CHEMICAL$ development. treats +fJ9TIHJ3c_WhCYDFdx-IKQCPclo @CHEMICAL$ acids profile is a @DISEASE$ marker of the development of potentially pathological changes in the liver. false +32mvdZFs2KLRlbdMKEnFDBsq7UA @CHEMICAL$ profile is a @DISEASE$ marker of the development of potentially pathological changes in the liver. false +yrPyvEmHzI2ai81neFLurhsAu1Q Using α-tocopherol (vitamin E) as a model vitamin, pharmacokinetics and kinetics principles were utilized to determine whether excess liver fat sequestered α-tocopherol in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated α-tocopherols (d3- and @CHEMICAL$) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +uSo_H3trLPI5pG_uFCkwyNRuuzQ Using α-tocopherol (vitamin E) as a model vitamin, pharmacokinetics and kinetics principles were utilized to determine whether excess liver @CHEMICAL$ sequestered α-tocopherol in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated α-tocopherols (d3- and d6-α-tocopherols) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +2uXMuFqCacFaas9XNvP88Mgd-Vo Using α-tocopherol (vitamin E) as a model @CHEMICAL$, pharmacokinetics and kinetics principles were utilized to determine whether excess liver fat sequestered α-tocopherol in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated α-tocopherols (d3- and d6-α-tocopherols) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +F8BqlAW292ROKha_pQ5j_Jua8DA Using @CHEMICAL$ (vitamin E) as a model vitamin, pharmacokinetics and kinetics principles were utilized to determine whether excess liver fat sequestered α-tocopherol in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated α-tocopherols (d3- and d6-α-tocopherols) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +Gpp3uWwJKr837WDpmetBX8X_4FI Using α-tocopherol (vitamin E) as a model vitamin, pharmacokinetics and kinetics principles were utilized to determine whether excess liver fat sequestered @CHEMICAL$ in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated α-tocopherols (d3- and d6-α-tocopherols) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +Nxs62qwaNd_NIICM3i6Y7-_KnOc Using α-tocopherol (vitamin E) as a model vitamin, pharmacokinetics and kinetics principles were utilized to determine whether excess liver fat sequestered α-tocopherol in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated @CHEMICAL$ (d3- and d6-α-tocopherols) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +q1GzdOE44ARTCq3rb67tSmQw6Sw Using α-tocopherol @CHEMICAL$ as a model vitamin, pharmacokinetics and kinetics principles were utilized to determine whether excess liver fat sequestered α-tocopherol in women with @DISEASE$ hepato-steatosis vs healthy controls.METHODS Custom-synthesized deuterated α-tocopherols (d3- and d6-α-tocopherols) were administered to hospitalized healthy women and women with hepato-steatosis under IND guidelines. false +L01kdvmAQd6SN-Ktm6fNUSgwupg Overall rates of @DISEASE$ anaphylaxis, predominantly secondary to @CHEMICAL$, are low, and also associated with low inpatient mortality. false +-zAm2U22Xd9E9hcS-IuC_tzq1uU Overall rates of hospital-acquired @DISEASE$, predominantly secondary to @CHEMICAL$, are low, and also associated with low inpatient mortality. false +8dpMYNcQtHhlPgs1NwJCkEk0tvU Sulfonamide moieties are effective scaffolds present in several @CHEMICAL$ that are determinants to treat various @DISEASE$, principally neglected tropical diseases This review article examines the contribution of these scaffolds in medicinal chemistry in the last five years, focusing on three trypanosomatid parasites: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania ssp. treats +HplhYm0kWJTiyGRHecmfLaGt0S8 Sulfonamide moieties are effective scaffolds present in several @CHEMICAL$ that are determinants to treat various diseases, principally neglected tropical @DISEASE$ This review article examines the contribution of these scaffolds in medicinal chemistry in the last five years, focusing on three trypanosomatid parasites: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania ssp. treats +lr4Z2fiVUV5c3FQ2So7KfnxaaSQ In the present study, we investigated the potential effect of Moringa oleifera stem extract (MOSE) on @DISEASE$ formation induced by @CHEMICAL$ stress in cultured mouse lenses. false +JgSZ2mYmKm6JoBTavOnl2pMQoiU Activity of MUC1 @DISEASE$ @CHEMICAL$ plasma anti-α-galactoside antibody correlates inversely with size of autologous lipoprotein(a). false +Y_B8n70NYfb1PbCL1WX9XDQhl_4 Activity of MUC1 @DISEASE$ antigen-binding plasma @CHEMICAL$ antibody correlates inversely with size of autologous lipoprotein(a). false +ntMkEHJqeVBTjfGGcoe6liUl3BY Activity of MUC1 @DISEASE$ antigen-binding plasma anti-α-galactoside antibody correlates inversely with size of autologous @CHEMICAL$a). false +1Bc9zjaZkDQnO-nA5oBtASukOZk @CHEMICAL$ (INH) is a key element of the first line anti @DISEASE$ treatment regimen. treats +-iPFZDGn2hGOsodB-zbKfbJAL2A Maternal @CHEMICAL$ supplementation increased in female mice offspring the incidence of chemically-induced mammary @DISEASE$ that were heavier, compared to control group. false +qV5Q0ygM2mxiVZM8HkZUSp7pXP0 Maternal zinc supplementation increased in female mice offspring the incidence of chemically-induced mammary @DISEASE$ that were heavier, compared to control @CHEMICAL$. false +wPiPUntOPXlpGD6-2t9Q3Kx-NY0 GSK-3 is a @CHEMICAL$ protein kinase that coordinates with over 40 different proteins during physiological/pathological conditions in @DISEASE$ cells. false +LvQRPUDw-fz-3kKEnFCJBWMHxoI GSK-3 is a serine/threonine protein kinase that coordinates with over 40 different @CHEMICAL$ during physiological/pathological conditions in @DISEASE$ cells. false +eh2WZ6H-U63WDPnnasXn6anNSmU GSK-3 is a serine/threonine @CHEMICAL$ kinase that coordinates with over 40 different proteins during physiological/pathological conditions in @DISEASE$ cells. false +w9hrQjE-yIgHmBkbSFPNNAVp0Zk BACKGROUNDRecessive dystrophic epidermolysis bullosa (RDEB) is a severe form of skin fragility @DISEASE$ due to mutations in COL7A1 encoding basement membrane type VII @CHEMICAL$ (C7), the main constituent of anchoring fibrils (AFs) in skin. false +Q9J8BSpJsx_WeZKPPqYbSyKzv5Y BACKGROUNDRecessive @DISEASE$ (RDEB) is a severe form of skin fragility disorder due to mutations in COL7A1 encoding basement membrane type VII @CHEMICAL$ (C7), the main constituent of anchoring fibrils (AFs) in skin. false +fIMnvWRQf4YTmJJu0YJrJdPjPTk Insulin levels and HOMA-IR are positively related to plasma @CHEMICAL$ and reciprocally to CV and M-Value in @DISEASE$, since the latter association is with borderline significance after adjustment for hypertension and smoking. false +y3jjenuQcrFkyU7_kiUL3EdAkIw The spelling process of nineteen children with STS knowledge (mean age: 10.9) with different hearing degrees, born into deaf families, is described and compared with a @CHEMICAL$ of fourteen hearing children without @DISEASE$ knowledge (mean age: 10.9). false +ZAMq-oz2_bs-cgVNWfT7yblvAhw The spelling process of nineteen children with @DISEASE$ knowledge (mean age: 10.9) with different hearing degrees, born into deaf families, is described and compared with a @CHEMICAL$ of fourteen hearing children without STS knowledge (mean age: 10.9). false +ZLcCzwMRPtkXgqrxBuzd7gUiKb0 resulted in over 1000-fold increased @CHEMICAL$ @DISEASE$. false +J-_RhbFMWzCEflS8oCYZRnNtRQY Sputum induced by the inhalation of hypertonic @CHEMICAL$ is a safe, inexpensive, less invasive, and easily repeated method and can be a valuable alternative to other invasive methods in the diagnosis of @DISEASE$. false +7PwkiTbchmYYp-VP2MAaWU4Q1jw LACs carrying KEAP1/NFE2L2 mutations were characterized by elevated expression of phosphorylated ataxia telangiectasia mutated (pATM) kinase and @DISEASE$ and Rad3-related (pATR) @CHEMICAL$ in association with a pattern of mutual exclusivity with TP53 alterations. false +-aQWDmjxjZqOd1nLuRcdZA3DAbI LACs carrying KEAP1/NFE2L2 mutations were characterized by elevated expression of @CHEMICAL$ @DISEASE$ mutated (pATM) kinase and ataxia telangiectasia and Rad3-related (pATR) protein in association with a pattern of mutual exclusivity with TP53 alterations. false +2OfjHEm8oAaYwxgLCZrJkDN56Ms LACs carrying KEAP1/NFE2L2 mutations were characterized by elevated expression of @CHEMICAL$ ataxia telangiectasia mutated (pATM) kinase and @DISEASE$ and Rad3-related (pATR) protein in association with a pattern of mutual exclusivity with TP53 alterations. false +9UmnGhlG5JkFGHCNZs2Zrc6mBpA LACs carrying KEAP1/NFE2L2 mutations were characterized by elevated expression of @CHEMICAL$ ataxia telangiectasia mutated (pATM) kinase and ataxia telangiectasia and @DISEASE$ (pATR) protein in association with a pattern of mutual exclusivity with TP53 alterations. false +ZMnbF4vA1pGLGoM3NtDsprH8KcE LACs carrying KEAP1/NFE2L2 mutations were characterized by elevated expression of phosphorylated ataxia telangiectasia mutated (pATM) kinase and ataxia telangiectasia and @DISEASE$ (pATR) @CHEMICAL$ in association with a pattern of mutual exclusivity with TP53 alterations. false +S9bvYe84vHM8W0JbC63UzRFqzTA LACs carrying KEAP1/NFE2L2 mutations were characterized by elevated expression of phosphorylated @DISEASE$ mutated (pATM) kinase and ataxia telangiectasia and Rad3-related (pATR) @CHEMICAL$ in association with a pattern of mutual exclusivity with TP53 alterations. false +9sfPhrYkl0jWIUHkkuKdZbXiLrM Tc-99m-MIBI scintigraphy in a 52-year-old man with a diagnosis of @DISEASE$ revealed two focal areas with retention of radioactivity in the left lobe of the @CHEMICAL$ gland on the delayed phase of MIBI SPECT/CT but no significant focal radioactive uptake on MIBI planar images. false +Sm33qcY7gSbce4wtZWSFQGs-Vz8 In this study, we systemically investigated the @CHEMICAL$ level changes of all @DISEASE$ transporter family genes in P. gingivalis while being internalized within GECs by real-time polymerase chain reaction. false +W4ZzKGgA2ohWh6eBgFIdh8dI-5U Our results indicated that serum miR-1301-3p, miR-28-5p, miR-335-5p, and B7-H3 expressions were correlated with pathological stages of CRC and metastasis and may therefore serve as novel @CHEMICAL$ for @DISEASE$ diagnosis and treatment. false +pscEyhbYGyzHjulduKKx9gGJXiI Our results indicated that serum miR-1301-3p, miR-28-5p, miR-335-5p, and B7-H3 expressions were correlated with pathological stages of @DISEASE$ and metastasis and may therefore serve as novel @CHEMICAL$ for CRC diagnosis and treatment. false +INB5DDbo4Dq--sWRcwyafACUmeo The @DISEASE$ analysis confirmed that the growth of microbes in MARA bioassay was poorly dependent on As and metals in pore @CHEMICAL$ except for a yeast Pichia anomala (No 11). false +3rMWOdHEQxvgL-1NxDG7vCKfZWI Cannabidiol and @CHEMICAL$ are useful in the treatment of Dravet or @DISEASE$. treats +W1QGCcu1t2CK1-pSondPVVUaV7U @CHEMICAL$ and fenfluramine are useful in the treatment of Dravet or @DISEASE$. treats +sdRnOWdeAqjShC_esSR4ESg_Un8 A dysfunctional TME promotes @CHEMICAL$ resistance, @DISEASE$ recurrence, and distant metastasis. treats +MOSwI4b28AWq99mPju8Lu5czhG0 We characterize the behavior of bridging solvent molecules, uncovering a power-law @DISEASE$ between the lifetime of a @CHEMICAL$ bridge and the probability of its occurrence. false +55axvtWjpMYNLuwc2xZvbkVoSXQ We characterize the behavior of bridging @CHEMICAL$ molecules, uncovering a power-law @DISEASE$ between the lifetime of a solvent bridge and the probability of its occurrence. false +8kgV0I1PMtfBOsdsssXw37JytpA Furthermore, although @CHEMICAL$ have been used in diverse ways, we mainly focus in this work on their clinical utility for the treatment of @DISEASE$, vitiligo and skin-related disorder. treats +xzNJzxHRK7wOjHGAAKpnQ9eI-bA Furthermore, although @CHEMICAL$ have been used in diverse ways, we mainly focus in this work on their clinical utility for the treatment of psioraisis, @DISEASE$ and skin-related disorder. treats +moaOnHVHXjOr2vHg0TqOrIe8Al0 Furthermore, although @CHEMICAL$ have been used in diverse ways, we mainly focus in this work on their clinical utility for the treatment of psioraisis, vitiligo and @DISEASE$. treats +tCkfQV-rBmpudoI8RNquH0Pktxk The control @CHEMICAL$ recovered more quickly than the experimental group at 30 min @DISEASE$. false +f6YUOZJJbbjO3HIdPH092GiengY The control group recovered more quickly than the experimental @CHEMICAL$ at 30 min @DISEASE$. false +xFlxXJwAGKA2mtnNTnxrQyhmuzs These factors can be linked to mediators of exposure or vulnerability to @DISEASE$ risks, such as poverty, being an 'outsider', stress and trauma resulting from historical and current oppression, exposure to bias and discrimination, related @CHEMICAL$ or behavioral consequences, and inadequate health and social care. false +cbfbXHVcVxr4T_tmWVld2Kh_mRM These factors can be linked to mediators of exposure or vulnerability to obesity-related risks, such as poverty, being an 'outsider', stress and @DISEASE$ resulting from historical and current oppression, exposure to bias and discrimination, related @CHEMICAL$ or behavioral consequences, and inadequate health and social care. false +h-UMbASDRHEuXbAQG9kkRAzgSiA Analysis of @CHEMICAL$ Stress-Related Markers in @DISEASE$ Patients at Surgery and Correlations with Clinical Findings. false +aaXQIh4wMAo-OXNB3Wi7Ym19TnM Montelukast (@DISEASE$ has prominent anti-inflammatory and @CHEMICAL$ activities. false +jg6FswYjSVxpPTnljMbmnEphdK8 @CHEMICAL$ (@DISEASE$ has prominent anti-inflammatory and antioxidant activities. false +EP1XiIxvVSIUcKpIjnexVI9sCdk Optimal adjuvant therapy in @DISEASE$ patients undergoing neoadjuvant @CHEMICAL$ and surgery: The importance of pathological response and lymph node ratio. treats +Bj5L8R4hebm9ICrijoa4aHV_fRo Taken together, the results suggested that IPreC decreased ischemic @DISEASE$ through alleviating free @CHEMICAL$ injury and the inflammatory response in cerebral IR rats. false +djjzsu4vSHytLreNzqCbkKpAyJY Taken together, the results suggested that IPreC decreased ischemic brain injury through alleviating free @CHEMICAL$ @DISEASE$ and the inflammatory response in cerebral IR rats. false +eDv-LAaQcv8K7PHXYV1WI1Q54Zk The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with cataract and pseudoexfoliative syndrome, cataract and pseudoexfoliative glaucoma, and cataract and @DISEASE$ (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative syndrome by use of optical low-coherence reflectometry. false +Ev_LbH3ef44VFI1KXrx0kRblyPg The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with @DISEASE$ and pseudoexfoliative syndrome, cataract and pseudoexfoliative glaucoma, and cataract and primary open-angle glaucoma (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative syndrome by use of optical low-coherence reflectometry. false +kk8x39-FP2jd2GX7cV3QZXoFaTc The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with cataract and pseudoexfoliative syndrome, @DISEASE$ and pseudoexfoliative glaucoma, and cataract and primary open-angle glaucoma (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative syndrome by use of optical low-coherence reflectometry. false +9jAjxp8TRxuF4WKTOuY238f3TsM The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with cataract and pseudoexfoliative @DISEASE$, cataract and pseudoexfoliative glaucoma, and cataract and primary open-angle glaucoma (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative syndrome by use of optical low-coherence reflectometry. false +10XQKyn4FFP8upsBSmFW6q-t96I The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with cataract and pseudoexfoliative syndrome, cataract and pseudoexfoliative glaucoma, and @DISEASE$ and primary open-angle glaucoma (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative syndrome by use of optical low-coherence reflectometry. false +7TNrqJ7cdVPqnOTX7ZmDZEiJtsc The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with cataract and pseudoexfoliative syndrome, cataract and pseudoexfoliative glaucoma, and cataract and primary open-angle glaucoma (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative @DISEASE$ by use of optical low-coherence reflectometry. false +oQTqwwf5UsiAL-h7yY4zzo7GGdo The aim of the study was to assess biometric factor aberrations and differences among groups of eyes with cataract and pseudoexfoliative syndrome, cataract and pseudoexfoliative @DISEASE$, and cataract and primary open-angle glaucoma (POAG), and to determine biometric factors of the eye specific for the @CHEMICAL$ of glaucomatous patients with pseudoexfoliative syndrome by use of optical low-coherence reflectometry. false +4-f4nSksRpLpXU9FgfwmDthj-RA BRCA1 and BRCA2 (BRCA1/2) genetic variants that disrupt @CHEMICAL$ splicing are commonly associated with increased risks of developing @DISEASE$. false +kz8xu5QGVqHi3sWcsWEJRN8A61w A significantly higher concentration of cytokines @DISEASE$ necrosis factor (TNF)‑α, interleukin (IL)‑1β, IL‑6 and TNF‑related apoptosis‑inducing @CHEMICAL$ occurred in the BCG‑treated neutrophil group compared with the NS and control groups (P<0.01), which was also associated with the BCG dose (P<0.01). false +cmIxEcEqDe8ZtBRAQ4yySGs8B9A A significantly higher concentration of cytokines @DISEASE$ necrosis factor (TNF)‑α, interleukin (IL)‑1β, IL‑6 and TNF‑related apoptosis‑inducing ligand occurred in the BCG‑treated neutrophil @CHEMICAL$ compared with the NS and control groups (P<0.01), which was also associated with the BCG dose (P<0.01). false +IPhFtvDeNt4lAOf8-xbdn2YRqcQ A significantly higher concentration of cytokines @DISEASE$ necrosis factor (TNF)‑α, interleukin (IL)‑1β, IL‑6 and TNF‑related @CHEMICAL$ ligand occurred in the BCG‑treated neutrophil group compared with the NS and control groups (P<0.01), which was also associated with the BCG dose (P<0.01). false +CSwDU8xGFiKQJGh9ti0wREBMyUo The bone with an SF presented alterations in its @CHEMICAL$ composition, showing bone immaturity, which broadens the panorama of the @DISEASE$ to investigate future treatments or prophylactic techniques. false +OvW2FMRhyX72gE9vJqvNpr4FPto Given the extensive application of CRISPR-Cas9 technologies in gene editing, in this review, we focus on the anti-CRISPR @CHEMICAL$ (Acrs) that inhibit @DISEASE$ systems for gene editing. false +bO2nK07JodTK9QXEQQhg3jzu_0E Given the extensive application of @DISEASE$ technologies in gene editing, in this review, we focus on the anti-CRISPR @CHEMICAL$ (Acrs) that inhibit CRISPR-Cas systems for gene editing. false +kWLrR6s3piWI3fcgmHfMp7tBStk @CHEMICAL$ and Neuromelanin Fluorescence Studies Focusing on @DISEASE$ and Its Inherent Risk for Melanoma. false +4RqkaOE7MyKpUoaXxkw4rOeux5o @CHEMICAL$ and Neuromelanin Fluorescence Studies Focusing on Parkinson's Disease and Its Inherent Risk for @DISEASE$. false +sEc1J2LPy6EDYpFDlZY83dRM_5s Behavior changes were visible with a 40.7% increase in @CHEMICAL$ documentation before transfusion, and patients benefited from a reduction in length of stay and postsurgical @DISEASE$ rate. false +Ov6Bm3ImlLtVguCXpJqih4B2is4 Recent clinical trials using cancer and non-cancer patients with chronic fatigue have shown the benefit of @CHEMICAL$ Replacement Therapy plus antioxidants in restoring mitochondrial electron transport function, reducing moderate to severe @DISEASE$ and protecting mitochondrial and other cellular structures and enzymes from oxidative or other damage due to cytotoxic therapy. treats +LlbecrLiJ9v4F4OZPaQPWVuaVng Recent clinical trials using cancer and non-cancer patients with chronic fatigue have shown the benefit of Molecular Replacement Therapy plus @CHEMICAL$ in restoring mitochondrial electron transport function, reducing moderate to severe @DISEASE$ and protecting mitochondrial and other cellular structures and enzymes from oxidative or other damage due to cytotoxic therapy. treats +lqDmwfO82mdA2qQkCoHQeGJcnnw Recent clinical trials using cancer and @DISEASE$ patients with chronic fatigue have shown the benefit of Molecular Replacement Therapy plus antioxidants in restoring mitochondrial electron transport function, reducing moderate to severe chronic fatigue and protecting mitochondrial and other cellular structures and enzymes from @CHEMICAL$ or other damage due to cytotoxic therapy. false +4y6p1dDRofCy0b-t7A2wSzoynFA Recent clinical trials using cancer and non-cancer patients with @DISEASE$ have shown the benefit of Molecular Replacement Therapy plus antioxidants in restoring mitochondrial @CHEMICAL$ transport function, reducing moderate to severe chronic fatigue and protecting mitochondrial and other cellular structures and enzymes from oxidative or other damage due to cytotoxic therapy. false +ZUDvBoz4OCVun6UftPvL4yn_2tc Recent clinical trials using @DISEASE$ and non-cancer patients with chronic fatigue have shown the benefit of Molecular Replacement Therapy plus antioxidants in restoring mitochondrial electron transport function, reducing moderate to severe chronic fatigue and protecting mitochondrial and other cellular structures and enzymes from @CHEMICAL$ or other damage due to cytotoxic therapy. false +LaZlWtUOpZEqgHmeF0dO26kfFDU Recent clinical trials using cancer and @DISEASE$ patients with chronic fatigue have shown the benefit of Molecular Replacement Therapy plus antioxidants in restoring mitochondrial @CHEMICAL$ transport function, reducing moderate to severe chronic fatigue and protecting mitochondrial and other cellular structures and enzymes from oxidative or other damage due to cytotoxic therapy. false +F7aJmLAiqAeXKzoelkOg7D_fB38 Recent clinical trials using cancer and non-cancer patients with @DISEASE$ have shown the benefit of Molecular Replacement Therapy plus antioxidants in restoring mitochondrial electron transport function, reducing moderate to severe chronic fatigue and protecting mitochondrial and other cellular structures and enzymes from @CHEMICAL$ or other damage due to cytotoxic therapy. false +nHanJMXT_52uxUyPhufath2ITBo Recent clinical trials using @DISEASE$ and non-cancer patients with chronic fatigue have shown the benefit of Molecular Replacement Therapy plus antioxidants in restoring mitochondrial @CHEMICAL$ transport function, reducing moderate to severe chronic fatigue and protecting mitochondrial and other cellular structures and enzymes from oxidative or other damage due to cytotoxic therapy. false +-rvGRvFZlysf3c1crBqYZ-oSOXc The groupings of viral sequences show that the cases of @CHEMICAL$ rabies reported in Arequipa are the result of the expansion of canine @DISEASE$ from the endemic region of Puno. false +1W8-e3zpEL5sGf7e6Y4kjojQA8I The groupings of viral sequences show that the cases of canine rabies reported in Arequipa are the result of the expansion of @CHEMICAL$ @DISEASE$ from the endemic region of Puno. false +N1ptJZIpTybB4iN1fH9Ws-eGXLw The groupings of viral sequences show that the cases of canine @DISEASE$ reported in Arequipa are the result of the expansion of @CHEMICAL$ rabies from the endemic region of Puno. false +_DkXdtbzUSxcn_sedjkuxBCkBvQ The groupings of viral sequences show that the cases of @CHEMICAL$ @DISEASE$ reported in Arequipa are the result of the expansion of canine rabies from the endemic region of Puno. false +q0ykroCGeFQOoZM2B1D4NaF6ViM A rapid, @DISEASE$, and selective fluorometric assay is described for the determination of @CHEMICAL$) in real waters and living cells. false +C5OQsfXt7mRI5u0S2tC3wVXlEbI @CHEMICAL$ initial ECG appeared to have an ectopic P-wave with a lengthening PR interval consistent with @DISEASE$ - Mobitz Type I. false +0jfUFuwU5bJeOQZ1-KpUcndepYc @CHEMICAL$ initial ECG appeared to have an ectopic P-wave with a lengthening PR interval consistent with second degree AV block - @DISEASE$ false +KdfPHphIy0m9BOxAnIGCOTdh_50 The treatment for advanced primary @DISEASE$ (HCC) is @CHEMICAL$ (SORA), while HCC has become increasingly drug resistant with enhanced aerobic glycolysis. treats +RGME4toAGkiDHzSa8qrnkdNaSqs The treatment for advanced primary hepatocellular carcinoma (@DISEASE$) is sorafenib (@CHEMICAL$), while HCC has become increasingly drug resistant with enhanced aerobic glycolysis. treats +v1mQD-bwQSlnq4UyEnjdl0P12zM The treatment for advanced primary hepatocellular carcinoma (@DISEASE$) is @CHEMICAL$ (SORA), while HCC has become increasingly drug resistant with enhanced aerobic glycolysis. treats +Wmxc2ggC0NTK9-pe_AFvCHkI0FE The treatment for advanced primary @DISEASE$ (HCC) is sorafenib (@CHEMICAL$), while HCC has become increasingly drug resistant with enhanced aerobic glycolysis. treats +22fYQiLf1ZxWTpsXRFail7Z_iE0 The treatment for advanced primary hepatocellular carcinoma (HCC) is sorafenib (SORA), while @DISEASE$ has become increasingly @CHEMICAL$ resistant with enhanced aerobic glycolysis. treats +oLY9qNVHrNgOPPkuV-ZUTzKE4rA In summary, we have described a novel non-esterified free @CHEMICAL$ pathway selectively driving pancreatic islet NGSIS, which may be therapeutically exploited as an alternative way to halt fasting hyperinsulinemia and the progression of @DISEASE$. false +d0DwG2CIz863epD8mmPMYtop5M8 In summary, we have described a novel non-esterified free @CHEMICAL$ pathway selectively driving pancreatic islet NGSIS, which may be therapeutically exploited as an alternative way to halt fasting @DISEASE$ and the progression of type 2 diabetes. false +h8_4hqAVKOeZ6MP7dfue7_ASxU4 In summary, we have described a novel non-esterified free @CHEMICAL$ acid-stimulated pathway selectively driving pancreatic islet NGSIS, which may be therapeutically exploited as an alternative way to halt fasting @DISEASE$ and the progression of type 2 diabetes. false +__mSq7kPuyC5_TIA0ajqFAlBrQU In summary, we have described a novel non-esterified free @CHEMICAL$ acid-stimulated pathway selectively driving pancreatic islet NGSIS, which may be therapeutically exploited as an alternative way to halt fasting hyperinsulinemia and the progression of @DISEASE$. false +BykqvX4_7vGTCYb05ZxL8smCUV4 Metalloproteinases and their Inhibitors under the Course of Immunostimulation by @CHEMICAL$ and Specific Antigen Inhalation in Equine @DISEASE$. treats +5Rp3rSHFENte4GvoagUuvzRW1tA Renal actinomycosis was confirmed via cultures of both the @DISEASE$ and nephrectomy specimen which grew A israelii and the pathological findings of multiple renal abscesses of actinomycosis with the characteristics of @CHEMICAL$ granules. false +PeAobifzrvW1sIXCxQ8sTMMiANQ Renal actinomycosis was confirmed via cultures of both the abscess and nephrectomy specimen which grew A israelii and the pathological findings of multiple renal abscesses of @DISEASE$ with the characteristics of @CHEMICAL$ granules. false +TvOsmFWTJZGBpjOzKcBkIEzyRwI Renal @DISEASE$ was confirmed via cultures of both the abscess and nephrectomy specimen which grew A israelii and the pathological findings of multiple renal abscesses of actinomycosis with the characteristics of @CHEMICAL$ granules. false +Wb-JVv6V86sCErS7rhkr1UqoAt0 In contrast to that, the protein expression of GLUT 2 was significantly increased 48 h p. i., associated with a significantly higher intracellular @CHEMICAL$ level in infected cells compared with control cells at that time point of @DISEASE$. false +8HJQtKFKRJpUfABLNXzUEAv2UVg In contrast to that, the @CHEMICAL$ expression of GLUT 2 was significantly increased 48 h p. i., associated with a significantly higher intracellular glucose level in infected cells compared with control cells at that time point of @DISEASE$. false +wKxcD4v5reflS8NrVciVNhxaUQ4 @DISEASE$ (PD) is managed primarily by @CHEMICAL$ and physiotherapy while virtual reality (VR) has emerged recently as a complementary method. treats +cvH06yRgWFipvqHoFr5bW7PDkqE Parkinson's disease (@DISEASE$) is managed primarily by @CHEMICAL$ and physiotherapy while virtual reality (VR) has emerged recently as a complementary method. treats +agWb1bbzUnnh9ftjwQa7OdYiapw Biodetoxification of model ZEN-contaminated maize kernels showed the surface-displayed L. reuteri strain could completely hydrolyze 2.5 mg/kg ZEN within 4 h under low @CHEMICAL$ @DISEASE$. false +XmbihUN42E9EG0JOFa_kstnefAc The temporal expressions of endogenous @DISEASE$ and autophagy-related @CHEMICAL$ (Beclin 1, ATG5, LC3 II to I ratio) were measured in sham and SAH rats at different time points (3, 6, 12, 24, and 72 hours). false +2Rd1pRGmMAPYil_5HPQv_UBc_NQ @CHEMICAL$ (CU), an edible natural pigment from Curcuma Longa, has demonstrated extensive @DISEASE$ effect in vivo and in vitro. false +RyhgKQWACTP3mulrVzgeHkU8o_M The lack of CTRS in the isolated LPRS @CHEMICAL$ is likely due to esophageal acid hyposensitivity and fewer pharyngeal @DISEASE$ episodes, thus implicating distinct pathophysiology of isolated LPRS from those with CTRS. false +v9JFslfhgg80NC9RYLPbLgY96hQ The lack of CTRS in the isolated LPRS group is likely due to esophageal @CHEMICAL$ hyposensitivity and fewer pharyngeal @DISEASE$ episodes, thus implicating distinct pathophysiology of isolated LPRS from those with CTRS. false +DaNA2E39ZAwhkQSY3BbPT0xEC9Y Indications included pre-eclampsia/eclampsia (24 trials), fetal neuroprotection (7 trials), and @DISEASE$ (9 trials); 18 trials compared @CHEMICAL$ with placebo/no treatment, and 22 compared different regimens. treats +8rHnhVk96El5ZJT7e8TNStCUb0k Indications included @DISEASE$ (24 trials), fetal neuroprotection (7 trials), and tocolysis (9 trials); 18 trials compared @CHEMICAL$ with placebo/no treatment, and 22 compared different regimens. treats +HbjNWhSgKq8MtOKNiXG0pU6t81Q Cardiac motion artifacts frequently reduce the interpretability of coronary computed tomography angiography (CCTA) images and potentially @CHEMICAL$ to misinterpretations or preclude the diagnosis of @DISEASE$ (CAD). false +h35zarwkOM797hxXmLHqluKG5bI Cardiac motion artifacts frequently reduce the interpretability of coronary computed tomography angiography (CCTA) images and potentially @CHEMICAL$ to misinterpretations or preclude the diagnosis of coronary artery disease (@DISEASE$). false +9YuZBTebn14NfJ32CjRH8bhOwy0 Methods An animal model of @DISEASE$ was induced by intraperitoneal injection of @CHEMICAL$ (VPA) at 12.5 days of gestation in Wistar rats. false +6zLTPLW-7E9Q41bFfaJ3ZVNx-T0 Western blotting was performed on the four @DISEASE$ primary cell lines for mRNA and protein expression of these @CHEMICAL$, respectively. false +r0rFnFw5yQ-3m6zK6h-fNMQBDC4 Western blotting was performed on the four @DISEASE$ primary cell lines for @CHEMICAL$ and protein expression of these proteins, respectively. false +rhEtohA2o2Ijz9AoEnNsbcEqNlw Western blotting was performed on the four @DISEASE$ primary cell lines for mRNA and @CHEMICAL$ expression of these proteins, respectively. false +vnG958t1Mij-afNZkHi-yjJMQQU Of the 768 public respondents, 84% were willing to take a @CHEMICAL$ that would aid @DISEASE$ healing but only 62.6% if the medication was lithium. treats +E2qahkdQaXYHAI8U7uwJcR0y22Y Of the 768 public respondents, 84% were willing to take a medication that would aid @DISEASE$ healing but only 62.6% if the medication was @CHEMICAL$. treats +yriy_Kktu9pIq0vxFoKQMvyDBWM Of the 768 public respondents, 84% were willing to take a medication that would aid @DISEASE$ healing but only 62.6% if the @CHEMICAL$ was lithium. treats +njiBjXmdEz7SClEIAZ30KcPundQ In women with hypertensive @DISEASE$ of pregnancy and mild hypertension, @CHEMICAL$ did not increase postpartum blood pressure compared with women not receiving nonsteroidal antiinflammatory drugs. false +9D76i1lk9nco8os3r_m8fJI1eeg In women with hypertensive disorders of pregnancy and mild hypertension, @CHEMICAL$ did not increase postpartum @DISEASE$ pressure compared with women not receiving nonsteroidal antiinflammatory drugs. false +H64pkUHl0-67MFDGqVJFOpcUzgc In conclusion, PARP-1 inhibition might augment @CHEMICAL$ cytotoxicity in @DISEASE$ cells by modulating β-catenin signaling pathway. treats +eKGVPMHE0fd9z52zASJLKJblwyc Moreover, @CHEMICAL$ @DISEASE$ preformed Aβ fibrils in a concentration-dependent manner. false +8u7WNO-GEXXikOgbiS-aNEKWz0s This study is aimed at the assessment of cognitive functions in children with @DISEASE$, and their relation to hydrocortisone (@CHEMICAL$) therapy and testosterone levels. treats +SZ5S1IforM0ZBgZtlzv19vvi-N4 This study is aimed at the assessment of cognitive functions in children with @DISEASE$, and their relation to @CHEMICAL$ (HC) therapy and testosterone levels. treats +Fj3ZgnLJnM6VO0GFtYZ5TiaQVz8 @DISEASE$ @CHEMICAL$) in the breast that is diagnosed by biopsy implies a risk of upstaging to invasive carcinoma (IC) on final pathology. false +TL0TRICgUXa0P6Ql_nlsicbQQ_c Ductal carcinoma in situ @CHEMICAL$) in the breast that is diagnosed by biopsy implies a risk of upstaging to @DISEASE$ (IC) on final pathology. false +LTVyQMb05lBncDezeZd4KJVgfHM We recorded 305-d milk, milk @CHEMICAL$, and milk fat yields (kg) before and after @DISEASE$ diagnosis, as well as fertility data, such as services per conception and the calving-conception period (CCP). false +fKZ0ZIWEr9kaJj8uc-gTTSO9pRo We recorded 305-d milk, milk protein, and milk @CHEMICAL$ yields (kg) before and after @DISEASE$ diagnosis, as well as fertility data, such as services per conception and the calving-conception period (CCP). false +yBCGzdsf4eOs7dySAAwaX7kBPwo The aim of this study was to investigate the prognostic value of fractional flow reserve (FFR) and a novel index (the D-index) of residual diffuse @DISEASE$ after intravascular ultrasound (IVUS)-guided second-generation @CHEMICAL$ stent (DES) implantation. treats +x1BCcXmRZhCOLGngmc0ll_NdcYk Thus, OCTA provides a new, noninvasive means of studying retinal cavernous hemangioma structure, a unique capability that may also be clinically relevant to the evaluation of other pathologic @CHEMICAL$ @DISEASE$, such as capillary and racemose hemangiomas. false +PYd4dVeCgbt8_AZGQovWrtUAnvA Thus, OCTA provides a new, noninvasive means of studying @DISEASE$ structure, a unique capability that may also be clinically relevant to the evaluation of other pathologic @CHEMICAL$ vascular tumors, such as capillary and racemose hemangiomas. false +BOGZnFS9Hoo52T8EZpsup4MeGWA Thus, OCTA provides a new, noninvasive means of studying @CHEMICAL$ cavernous hemangioma structure, a unique capability that may also be clinically relevant to the evaluation of other pathologic retinal @DISEASE$, such as capillary and racemose hemangiomas. false +3r_jMxfh5ygsY44u6ouZgpZGX28 Among the node-positive @CHEMICAL$, patients without ECE had a 5-year @DISEASE$ survival (DFS) and 5-year overall survival (OS) advantage over ECE-positive patients of 7.8% (63.8% vs. 56.0%) false +5-7I6-CtPPDIbSNBqFRgOI6LRp0 Patient Involvement in the Design of a Randomised Trial of @CHEMICAL$ Beam Radiotherapy Versus Standard Radiotherapy for Good Prognosis @DISEASE$. treats +3lFmCXJ0TPllzkw8ZtEOLRVWxmE The presence of denatured proteins within a therapeutic drug product can create a series of serious adverse effects, such as mild irritation, @CHEMICAL$, @DISEASE$, or instant death to a patient. false +d6tjQlYRg8myLidk7n-RMgA0Klw The presence of denatured @CHEMICAL$ within a therapeutic drug product can create a series of serious adverse effects, such as mild irritation, immunogenicity, @DISEASE$, or instant death to a patient. false +eMl9AaRb-OaXEnfmpm9J6x0NnGw The presence of denatured proteins within a therapeutic @CHEMICAL$ product can create a series of serious adverse effects, such as mild irritation, immunogenicity, @DISEASE$, or instant death to a patient. false +AkHN0LBoFVgqfnqjXVRzxN2l1VI Therefore, lncRNA MORT may inhibit @DISEASE$ cell proliferation in prostate carcinoma by preventing @CHEMICAL$ uptake. false +E5HCaaCeN9OrRW24mikHjfZ28tY Therefore, lncRNA MORT may inhibit cancer cell proliferation in @DISEASE$ by preventing @CHEMICAL$ uptake. false +RfbdesKKLsi-wx29fNVLF1t3TpM Moreover, PBP reduced the level of CORT-induced @CHEMICAL$ stress by decreasing ROS levels and increasing @DISEASE$, GSH-Px activities and GSH content. false +VTz3JLk_X6kRsPvjqWers6Nv8to Additionally, the PIK3CA/H1047R mutation may be a potential biomarker of @DISEASE$ to @CHEMICAL$. false +c03qLVAkPoyZUyjmL5C7qL1kYDQ Additionally, the PIK3CA/H1047R mutation may be a potential @CHEMICAL$ of @DISEASE$ to everolimus. false +FZ6rSkfcZo2DtyPrGnG8yAj_MkY @DISEASE$ Detection and Inhibition of the Metastasis of Breast Cancer Cells to Adjacent Lymph Nodes and Distant Organs by Using Long-Persistent Luminescence @CHEMICAL$. false +ZA0ZuUhNYmdNQHZ7MzpfNUsSGJQ Ultra-Sensitive Detection and Inhibition of the Metastasis of @DISEASE$ Cells to Adjacent Lymph Nodes and Distant Organs by Using Long-Persistent Luminescence @CHEMICAL$. false +f1-sNFYqouNkK5C24cvfVVx6V2g The most studied @CHEMICAL$ was the 25(OH)D3 and the most cited disease was @DISEASE$. false +v2tubPdilPfB0V1pRK3jIRpt3VY The most studied @CHEMICAL$ was the 25(OH)D3 and the most cited @DISEASE$ was multiple sclerosis. false +xgp8RzngEnbnnSZuA6lPnUD7BIo The @DISEASE$ progressed, and paclitaxel and ramucirumab were administered as second-line @CHEMICAL$. treats +EmvRAQGwiTKgHg5D68mxqMQaJKA The @DISEASE$ progressed, and paclitaxel and @CHEMICAL$ were administered as second-line chemotherapy. treats +gIYtsNXxXVIURxzIt3-RcDgC5TA The @DISEASE$ progressed, and @CHEMICAL$ and ramucirumab were administered as second-line chemotherapy. treats +YK0aX19-r572zMijV2ygGqk6g7g It is concluded that stakeholders in China's @DISEASE$ and poultry production industries recognised a need to improve welfare, although they saw a conflict with production of safe @CHEMICAL$. false +rF2DquX9xJMyf_kOHtOlOCqn958 To increase the congruence of the three perspectives, nurses' clinical decision-making competencies should be fostered, so that nurses choose more effective nursing interventions that @CHEMICAL$ to better @DISEASE$ patient outcomes. false +dduj7TW9A2aPhJqt4XsPR9q-bYE @CHEMICAL$ starvation responses have important implications in diseases, such as diabetes and @DISEASE$. false +PL87_6Ny2KrMf-8qGozEJ38fub8 @CHEMICAL$ starvation responses have important implications in diseases, such as @DISEASE$ and cancer. false +x-CUHWMkBh40yWXWxky6shUN-V4 @CHEMICAL$ starvation responses have important implications in @DISEASE$, such as diabetes and cancer. false +T9W2joubw_NO3x696q6cn386rnw Elucidation of the Relationship between @DISEASE$ Viscosity and Molecular Weight of Cellulose Dissolved in Tetra-N-Butyl Ammonium @CHEMICAL$. false +mPzQYLBnlwY4j0Q0PKATPFZZJ40 Elucidation of the Relationship between @DISEASE$ Viscosity and Molecular Weight of Cellulose Dissolved in @CHEMICAL$ Ammonium Hydroxide/Dimethyl Sulfoxide. false +vQICLASqFcjF7ZVY5PeBjkNQlJs Elucidation of the Relationship between @DISEASE$ Viscosity and Molecular Weight of Cellulose Dissolved in Tetra-N-Butyl @CHEMICAL$ Sulfoxide. false +k8flgesny0mZelWRlX_Gidk3Ti8 With the development of salivaomics and the application of unbiased, highly sensitive, and high throughout separation techniques for salivary components, there's now more possibilities for effective identification of @CHEMICAL$ correlated with oral @DISEASE$. false +TodI35-I8C7rCVxjEIEZqN4IhbM With the development of salivaomics and the application of unbiased, highly @DISEASE$, and high throughout separation techniques for salivary components, there's now more possibilities for effective identification of @CHEMICAL$ correlated with oral diseases. false +YLmwXMljPrDQ_Uyh-LhTRc2JoE4 BACKGROUND AND OBJECTIVE: As of December 2017, 20 @DISEASE$ ketosis (DK)/diabetic ketoacidosis (DKA) cases associated with @CHEMICAL$ (SGLT2i) had been reported to the Health Sciences Authority (HSA), Singapore. treats +kRbE04WB9gMCnWQ5AshaIppGiU8 BACKGROUND AND OBJECTIVE: As of December 2017, 20 @DISEASE$ ketosis (DK)/diabetic ketoacidosis (DKA) cases associated with sodium-glucose co-transporter 2 inhibitors @CHEMICAL$) had been reported to the Health Sciences Authority (HSA), Singapore. treats +TiHRZdEkPOe73DVqkl7zsCe0cr8 However, the metabolic profile was able to predict with approximately 90% @DISEASE$ and specificity whether a mother fell into the High Risk @CHEMICAL$ (18.7% risk) or Low Risk group (1.7% risk). false +2dau927vKcQBY3nc9Y8IyV5vRT4 However, the metabolic profile was able to predict with approximately 90% @DISEASE$ and specificity whether a mother fell into the High Risk group (18.7% risk) or Low Risk @CHEMICAL$ (1.7% risk). false +HhYdve1To_oY2_tCl86XBUK2usA In addition, our results suggest that these @CHEMICAL$ can have useful applications in magnetic hyperthermia and eradication of methicillin-resistant Staphylococcus aureus (@DISEASE$) bacteria in presence of an ac magnetic field. false +Ao3QIbTwmiBD6DWUCTTq-b7I8pQ In addition, our results suggest that these nanoparticles can have useful applications in magnetic hyperthermia and eradication of @CHEMICAL$ Staphylococcus aureus (@DISEASE$) bacteria in presence of an ac magnetic field. false +Is0gVWCj-RZ_qtgvpBohi1VToGw which enables scanning for unknown @CHEMICAL$ in precursor ion @DISEASE$ mode. false +3FzwOxBNuB2tdYq6qkM6m8xyrKQ which enables scanning for unknown thiols in precursor @CHEMICAL$ @DISEASE$ mode. false +A36DdPrfVWDLcFhxNNKPs1CT-g8 which enables scanning for unknown @CHEMICAL$ in precursor @DISEASE$ scan mode. false +rDJO3dHCty5jmP5KnfrljJe0pWA The BOCAA (@CHEMICAL$ and Outcomes in @DISEASE$) study recruited 10 CAA patients over 18 months. false +BpR1nYTwXSC0lwWyHk37RSW-gHg At present, there is no reason to believe that empagliflozin or @CHEMICAL$ increase the risk of either peripheral @DISEASE$ of lower limb amputations. false +v6mSXiEgIqMhduPh3muggFyZj-A At present, there is no reason to believe that @CHEMICAL$ or dapagliflozin increase the risk of either peripheral @DISEASE$ of lower limb amputations. false +Kv11e7nlHf2oTfKAMaDfi6yYclM Intraocular hemorrhage as an intraoperative complication was seen in two patients in group 1 and one patient in @CHEMICAL$ 2. Redislocation in three patients in group 2 and @DISEASE$ in one patient in each groups were observed. false +pcMIFW33OGdjpPjmXBNb3KrXYp8 Intraocular hemorrhage as an intraoperative complication was seen in two patients in @CHEMICAL$ 1 and one patient in group 2. Redislocation in three patients in group 2 and @DISEASE$ in one patient in each groups were observed. false +xFC-iz3o5wr-9IgCb9Wsq4sAAJk Intraocular hemorrhage as an intraoperative complication was seen in two patients in group 1 and one patient in group 2. Redislocation in three patients in @CHEMICAL$ 2 and @DISEASE$ in one patient in each groups were observed. false +kExmLNS7nu7U6JvguYH4F2ucRok Circulating Aquaporin-4 as A @CHEMICAL$ of early neurological improvement in @DISEASE$ patients: A pilot study. false +9dVqXV5fuyJFy7ChDWP9tM7wBQo TmEgl5A showed a @CHEMICAL$ mass of approximately 40 kDa as determined by @DISEASE$ false +T3QvaFuw08Gc0AXaxho_7D5_Fr0 In this study, we used 112 interspecific triploid hybrids and 152 @CHEMICAL$ markers to make G-C maps of all 24 linkage groups (@DISEASE$). false +DhxpEBIm5OiPv7YSiupOKRCndeg @DISEASE$ and spinal @CHEMICAL$ outcomes. false +XlfSdFu8ut0zLYqLC21SSUCc15k Biosynthesis of copper oxide nanoparticles and their potential synergistic effect on @CHEMICAL$ induced oxidative stress conditions during cardiac @DISEASE$ in Sprague-Dawley rats. false +jYuanAC99Wp5FSviSkD70UMNvmY Biosynthesis of copper oxide @CHEMICAL$ and their potential synergistic effect on alloxan induced oxidative stress conditions during cardiac @DISEASE$ in Sprague-Dawley rats. false +9PJ0-7vz2l4rfWyBHROLJyss2tA Biosynthesis of copper oxide nanoparticles and their potential synergistic effect on alloxan induced @CHEMICAL$ stress conditions during cardiac @DISEASE$ in Sprague-Dawley rats. false +MYfRhQoNVJcNt4gpe_GVWLAHgSw Biosynthesis of @CHEMICAL$ oxide nanoparticles and their potential synergistic effect on alloxan induced oxidative stress conditions during cardiac @DISEASE$ in Sprague-Dawley rats. false +40yhAgMvy-2gAZ44A_mn_3k-yQ8 Biosynthesis of copper @CHEMICAL$ nanoparticles and their potential synergistic effect on alloxan induced oxidative stress conditions during cardiac @DISEASE$ in Sprague-Dawley rats. false +eAnfue_Zsqxzh4isCr7_XNJZhyc A standardized test battery was used to characterize a diverse group of @DISEASE$ patients with and without @CHEMICAL$ symptoms. false +MLdj6up6XkCQdGEb9ioI2zcK0PQ A standardized test battery was used to characterize a diverse @CHEMICAL$ of @DISEASE$ patients with and without residual symptoms. false +H2vpUAtJt-kiehSzXVMcXQt7FNo @DISEASE$ progresses due to increased levels of active metalloproteinases (MMPs) and the imbalance between MMPs and their tissue @CHEMICAL$ (TIMPs). false +PB6fBuHfNBe7EdvbSCKuu1CMNwQ Replication of Mesoscale Pore One-dimensional Nanostructures: Surface-induced Phase Separation of @CHEMICAL$ alcohol) (@DISEASE$) Blends. false +prdOiVfhYvRuA4Zmc1lrPfyzsRg Replication of Mesoscale Pore One-dimensional Nanostructures: Surface-induced Phase Separation of @CHEMICAL$ (@DISEASE$) Blends. false +xPAnqbHt-pcCjqa8LcR32UmutSs Replication of Mesoscale Pore One-dimensional @CHEMICAL$: Surface-induced Phase Separation of Polystyrene/Poly(vinyl alcohol) (@DISEASE$) Blends. false +jHTmbYDniJDsl7ABumsJlDyxijU Lesch-Nyhan disease (LND) is an X-linked recessive @DISEASE$ caused by a deficiency in @CHEMICAL$ phosphoribosyl transferase. false +NxrWs7C41kwlbtYMgR9p1DbaIqA Lesch-Nyhan @DISEASE$ (LND) is an X-linked recessive disorder caused by a deficiency in @CHEMICAL$ phosphoribosyl transferase. false +iE6y7VmGQwMqL_3Qw5E2kdH16nE Cardiac MRI for Detecting Early Cardiac Toxicity after @CHEMICAL$ Therapy for @DISEASE$. treats +j3_pY59DLw_u9lk3rdZruWZhv4M Additionally, biochemical parameters, such as fasting @DISEASE$ glucose (FBG), insulin, glycated hemoglobin (HbA1c), homeostasis model of assessment-insulin resistance (HOMA-IR), serum levels of @CHEMICAL$ and lipid profile, were assessed. false +ApTw98bITb5hh16UyV4MIuRKMS4 Additionally, biochemical parameters, such as fasting @DISEASE$ @CHEMICAL$ (FBG), insulin, glycated hemoglobin (HbA1c), homeostasis model of assessment-insulin resistance (HOMA-IR), serum levels of zinc and lipid profile, were assessed. false +Q3XvdZnotNQlzZuCE3KM56GP8S4 Additionally, biochemical parameters, such as fasting @DISEASE$ glucose (FBG), insulin, glycated @CHEMICAL$ (HbA1c), homeostasis model of assessment-insulin resistance (HOMA-IR), serum levels of zinc and lipid profile, were assessed. false +mss22PdvMqsZVO7gSkkT4Qya718 Additionally, @CHEMICAL$ parameters, such as fasting @DISEASE$ glucose (FBG), insulin, glycated hemoglobin (HbA1c), homeostasis model of assessment-insulin resistance (HOMA-IR), serum levels of zinc and lipid profile, were assessed. false +hlnaGuE3sdFU-juDKjKvAgFqsho Additionally, biochemical parameters, such as fasting @DISEASE$ glucose (FBG), insulin, glycated hemoglobin (HbA1c), homeostasis model of assessment-insulin resistance (HOMA-IR), serum levels of zinc and @CHEMICAL$ profile, were assessed. false +gFWkuSzzjcHaGBP86FdbLgshpOk Additionally, biochemical parameters, such as fasting @DISEASE$ glucose (FBG), insulin, glycated hemoglobin (@CHEMICAL$), homeostasis model of assessment-insulin resistance (HOMA-IR), serum levels of zinc and lipid profile, were assessed. false +Ne1f02y_ZMmjxowAc3wyRx1tmVg Influence of @CHEMICAL$ (MC-LR) on autophagy in human @DISEASE$ SK-N-SH cells. false +08mn2Bt1ZkFzbonWgo7Xa9uUAoQ In addition, @CHEMICAL$ promoted angiogenesis and repair of @DISEASE$ in rats, and these effects were abolished by AMD3100 and LY294002 administration. treats +5Pv2JI0eWyjihU82kD39I19noVs In addition, OPG promoted angiogenesis and repair of bone defect in rats, and these effects were abolished by @DISEASE$ and @CHEMICAL$ administration. false +nu4wx2SN_vvWMJDp6Nk3Mj6GZd4 The @CHEMICAL$ level was below in 1.5 mg/dl in all patients in the pre-pregnancy period, and 1 + @DISEASE$ was found in only two of them. false +q_egGAPQIudQT7kEsgAAqILX5gE The biotin @CHEMICAL$ allows rapid and @DISEASE$ detection of the cleavage product via chemiluminescence, avoiding the problems of safety and short half-lives of radionuclides encountered in assays employing a radioactively-labeled substrate. false +WutraZB5o-EzbdODDE-Wn1hKKmo The biotin tag allows rapid and @DISEASE$ detection of the cleavage product via chemiluminescence, avoiding the problems of safety and short half-lives of radionuclides encountered in assays employing a @CHEMICAL$ substrate. false +2P-zgoJwUgbpSE4NusdNp-SVsQc The @CHEMICAL$ tag allows rapid and @DISEASE$ detection of the cleavage product via chemiluminescence, avoiding the problems of safety and short half-lives of radionuclides encountered in assays employing a radioactively-labeled substrate. false +kc5zHi_4cpWC5zFirODhDnInPPg Behavioral sensitization to repeated psychostimulant administration has been proposed to reflect many of the neurochemical and behavioral changes that are characteristic of a range of @DISEASE$, including @CHEMICAL$ addiction and psychoses. false +S3jUef2ixfGsgIWuSzcV571i9vQ As a result, a de novo heterozygous @CHEMICAL$ deletion in PLP1 [NM_000533.5(PLP1_v001)@DISEASE$; false +yMoRF1cVmTw-ifucx2jeVHTHy8k Another less frequent event that may occur after chemotherapy, particularly under @CHEMICAL$ treatment, is the central @DISEASE$ leading to disorders such as mental confusion, catatonia, hyporeflexia, etc. false +HPg39Vg_5RjrQNV4lrpVvmg_usk Another less frequent event that may occur after chemotherapy, particularly under @CHEMICAL$ treatment, is the central neurotoxicity leading to @DISEASE$ such as mental confusion, catatonia, hyporeflexia, etc. false +voLrta4MTgnlxIKF2LBx-KATw_Q @CHEMICAL$ improved @DISEASE$, nerve damage and cognitive dysfunction in rats with CIR, which may be related to the regulation of miR-7-5p/RelA p65 axis. treats +2ZDB7W9uBl73dl8kC2wclKlu8C4 @CHEMICAL$ improved cerebral infarction, nerve damage and cognitive dysfunction in rats with @DISEASE$, which may be related to the regulation of miR-7-5p/RelA p65 axis. treats +0O2bBa_wpo2g2XyLMONeYMd_OAI @CHEMICAL$ improved cerebral infarction, nerve damage and @DISEASE$ in rats with CIR, which may be related to the regulation of miR-7-5p/RelA p65 axis. treats +9l1S53GLiL5QMnPkFlSSwmnx6D0 @CHEMICAL$ improved cerebral infarction, @DISEASE$ and cognitive dysfunction in rats with CIR, which may be related to the regulation of miR-7-5p/RelA p65 axis. treats +Oz2UkUI4COGXtZzWAOCszka8D_Q All the isolates of C. albicans, @DISEASE$ and the only isolate of Candida tropicalis were susceptible to all the @CHEMICAL$ tested. false +iESgAQ0CiWBpmuMlsfy6SGGJ4mg AMXC is associated with increased reported @DISEASE$ adverse effect by @CHEMICAL$ of 6.79 [6.49, 7.11]. false +92J3SRto9mkqjrJwhXvGR8zf6eU PD and healthy control @DISEASE$ samples were collected along with extensive clinical history to determine whether total, @CHEMICAL$, or aggregated α-Syn derived from erythrocytes (the major source of blood α-Syn) are more promising and consistent biomarkers for PD than are free α-Syn species in serum or plasma. false +40pCgwERcUGpag7bOxkMncjtIbo PD and healthy control blood samples were collected along with extensive clinical history to determine whether total, @CHEMICAL$, or aggregated α-Syn derived from erythrocytes (the major source of @DISEASE$ α-Syn) are more promising and consistent biomarkers for PD than are free α-Syn species in serum or plasma. false +NU0a1xo-8ppIKHljhhpD29QND_s PD and healthy control @DISEASE$ samples were collected along with extensive clinical history to determine whether total, phosphorylated, or aggregated α-Syn derived from erythrocytes (the major source of blood α-Syn) are more promising and consistent @CHEMICAL$ for PD than are free α-Syn species in serum or plasma. false +LbzlkY0dC3wkDpTeVhDco35CNtk PD and healthy control blood samples were collected along with extensive clinical history to determine whether total, phosphorylated, or aggregated α-Syn derived from erythrocytes (the major source of @DISEASE$ α-Syn) are more promising and consistent @CHEMICAL$ for PD than are free α-Syn species in serum or plasma. false +umn6H0sI-JU0dyuaU2HZMUvRqII Here, we developed N2 and O2 plasma-treated carbon-fiber microelectrodes (CFME) for improved @CHEMICAL$ detection with @DISEASE$ cyclic voltammetry (FSCV). false +YtfXZHd2oJaNXyKKtzbLnETzDyE Here, we developed N2 and O2 plasma-treated @CHEMICAL$ microelectrodes (CFME) for improved purine detection with @DISEASE$ cyclic voltammetry (FSCV). false +14X9soJL9fEeUZg5yzgs38mkO9I @CHEMICAL$ in combination with chemotherapy or molecular therapy has shown efficacious properties in refractory or relapsed @DISEASE$ patients. treats +CLZhLlS8px3uvUPvzQQKLNzwlzE Decitabine in combination with @CHEMICAL$ or molecular therapy has shown efficacious properties in refractory or relapsed @DISEASE$ patients. treats +vaOHKzLkZ3CSqudzv-LIa3uhSwY Decitabine in combination with chemotherapy or @CHEMICAL$ therapy has shown efficacious properties in refractory or relapsed @DISEASE$ patients. treats +kSfrwtFrMG5krNfwwP0RFw9hRLs To determine the diagnostic test accuracy of nucleic acid and @CHEMICAL$ detection tests for the diagnosis of human symptomatic @DISEASE$. false +w1VBAZ1yGxYWjflZUVyhYnvSTBg To determine the diagnostic test accuracy of @CHEMICAL$ and antigen detection tests for the diagnosis of human symptomatic @DISEASE$. false +tHcOs6_m04i_YpxILr-1ZOUJ3lQ Euglycemic diabetic ketoacidosis in association with @CHEMICAL$ use after gastric sleeve surgery in a patient with @DISEASE$. treats +WVJGCLvN-N5-3V8kzngIRRtmi-A Euglycemic @DISEASE$ ketoacidosis in association with @CHEMICAL$ use after gastric sleeve surgery in a patient with type II diabetes mellitus. treats +uIMwbTZkWKoqtQQV09DEfID3V1w @CHEMICAL$ ingestion elevated the level of skeletal muscle protein and suppressed @DISEASE$ growth by inducing tumor-selective oxidative stress production. treats +DlJLdWhggXRBr8xOxvz0cghT8zU LAA ingestion elevated the level of skeletal muscle protein and suppressed tumor growth by inducing @DISEASE$ @CHEMICAL$ stress production. false +n7og76gAHWnF8i4I2afYMbeGhdc LAA ingestion elevated the level of skeletal muscle @CHEMICAL$ and suppressed tumor growth by inducing @DISEASE$ oxidative stress production. false +B7MyvH2VdJcVCbJCWJzHPQ8N_sc They are an extremely diverse and specious @CHEMICAL$ but are nevertheless united by a distinctive suite of cytoskeletal and secretory structures related to @DISEASE$, called the apical complex, which is used to recognize and gain entry into animal host cells. false +b2DHt6I6UxRha65uftlLEIVRyV8 Translational endpoints include assessment of circulating tumor cells, cell-free @CHEMICAL$, and @DISEASE$ tissue as prognostic and predictive markers, including assessment of immunological predictors of response and long-term survival. false +fvaJ5zH6ld_4z8AcC9lc2wVauLo Translational endpoints include assessment of circulating @DISEASE$ cells, cell-free @CHEMICAL$, and tumor tissue as prognostic and predictive markers, including assessment of immunological predictors of response and long-term survival. false +7dI6jXILasFA5e-E0JKdX1-ewbw , @DISEASE$ lipase, and uncoupling @CHEMICAL$ 2) in liver and white adipose tissue. false +mmO1n9Cp4owAqb2BhtnuMlKqM0I Since the US Food and Drug Administration approval of the anti-cytotoxic T-lymphocyte-associated antigen 4 agent ipilimumab for late-stage melanoma in 2011, results from multiple clinical trials have proven the benefit of @CHEMICAL$ in the treatment of other @DISEASE$. treats +AfxtLg2bSCOYPkpLmGdCRXAuW70 Since the US Food and Drug Administration approval of the anti-cytotoxic T-lymphocyte-associated antigen 4 agent @CHEMICAL$ for late-stage @DISEASE$ in 2011, results from multiple clinical trials have proven the benefit of immunotherapy in the treatment of other cancers. treats +XxBVWdfl8TzV9FOYTragOJ2Ukm8 Since the US Food and Drug Administration approval of the @CHEMICAL$ ipilimumab for late-stage @DISEASE$ in 2011, results from multiple clinical trials have proven the benefit of immunotherapy in the treatment of other cancers. treats +mLayn8ueAW2_YMdn_Y5JNHBSmuk These results represent a further step in understanding the parasite @CHEMICAL$ molecules that may be associated to virulence and thus to @DISEASE$ traits as abortion and transmission. false +0-4Y7Zj7-ZqPTSHEawOLsAbunRQ Kaplan-Meier analysis revealed that, no matter in total @CHEMICAL$ or subgroup stratified by @DISEASE$ stage and grade, overall survival rates at 1 year, 2 years, and 5 years in patients with palliative resection were significantly worse than those in patients with curative resection (all p < 0.05), but significantly better than those in patients with no resection (all p < 0.05). false +I5xwVSAA2LSlen9edvUgpdgS_UI The @CHEMICAL$ chaperone @DISEASE$ deficiency causes retinal degeneration by disrupting Golgi organization and vesicle transportation in photoreceptors. false +U_CoMEFDPJS6QznCmV1664NnLzk The molecular chaperone @DISEASE$ deficiency causes @CHEMICAL$ degeneration by disrupting Golgi organization and vesicle transportation in photoreceptors. false +eA9iUJqDTgLBixUkxHCLvuvyuBg The @CHEMICAL$ chaperone Hsp90α deficiency causes @DISEASE$ by disrupting Golgi organization and vesicle transportation in photoreceptors. false +OnRB27eW1DWgJyQw8jdMFoggWvE Using the @DISEASE$ fluorescence of tryptophan in the cuticle @CHEMICAL$ to quantify the amount of cuticle deposition failed because of complex quenching processes. false +MXrN7ooDlCo6bPt-wN0VYNFc0xs Using the @DISEASE$ fluorescence of @CHEMICAL$ in the cuticle proteins to quantify the amount of cuticle deposition failed because of complex quenching processes. false +XVNoLV6HNuPd3VlJhV2v8d7XKPE @DISEASE$ was induced by IV injection of @CHEMICAL$ monohydrate 110 mg/kg into New Zealand white rabbits weighing 2-2.5 kg. false +9T5XJIMeUOpj5HlhrQ_zsCrRMuw Uses include confirmation of intubation, maintenance of ventilation in intubated and nonintubated children, monitoring of effectiveness of cardiopulmonary resuscitation, and as an adjunct for monitoring of @CHEMICAL$ children and children with lower @DISEASE$ and metabolic derangements. false +24JhWaPV0lm6EjvVaBbiT9gwXvg The Role of @DISEASE$ @CHEMICAL$ in the Regulation of Inflammatory Cytokine Production by MK2/3. false +FDUM2LrYRDZ3g2a6pauwxjSOZ6I Secondary hyperparathyroidism in the setting of an inappropriately normal @CHEMICAL$ suggested concurrent renal @DISEASE$. false +uvICuTMeseEdnNcw3d7P4V1jBrM @DISEASE$ in the setting of an inappropriately normal @CHEMICAL$ suggested concurrent renal bone disease. false +SDw1qinHpP9GPfOshEIYOojg1TU Quantification of bacteria in @CHEMICAL$ using @DISEASE$ analysis of emission spectra of fluorescence and excitation-emission matrices. false +rFdSQil2QLimvjKOPtoI6tJR-oU @CHEMICAL$ of @DISEASE$ was expressed in sarcoma cell lines including OS13, but its expression was not detectable in normal organs other than the testis and placenta. false +kZcsCajzjQ8OTyQpaqR3QuO_1fI @CHEMICAL$ of LIN28B was expressed in @DISEASE$ cell lines including OS13, but its expression was not detectable in normal organs other than the testis and placenta. false +4ltqhW7GBSTgIz4OXONGlytSG1c @DISEASE$ did not @CHEMICAL$ to any significant differences in weight/BMI changes during inpatient treatment. false +bw_9xeXyiQTnj5M_uAzqjDndF1k @CHEMICAL$ from samples was used for next generation sequencing to identify mutations in genes: HRAS, KRAS, NRAS, BRAF, @DISEASE$, CHEK2, PPM1D, EIF1AX, EZH1 and for capillary sequencing in case of the TERT promoter. false +qLr8h7J8_QRT4L_JqN1oHYEJ1Io Now that the genetic and @CHEMICAL$ mechanisms of @DISEASE$ are known, these may provide clues into the pathogenesis of CT. false +rOQiYGneGok8npOPbkYJ1iMBE1c Most of these tumors are in 3 groups: radioactive iodine-refractory @DISEASE$ including poorly differentiated thyroid carcinoma anaplastic thyroid carcinoma, and progressive medullary @CHEMICAL$ carcinoma. false +wYo1NJ7clJrMxJ788DwZGv5-dBk Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated @CHEMICAL$ carcinoma including @DISEASE$ anaplastic thyroid carcinoma, and progressive medullary thyroid carcinoma. false +LfcjwJaLIprrduSG6A59WK8e2Vo Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including poorly differentiated thyroid carcinoma @DISEASE$, and progressive medullary @CHEMICAL$ carcinoma. false +Nb_Ed8my3Exakk5G-w06GY7Xn5g Most of these tumors are in 3 groups: radioactive iodine-refractory @DISEASE$ including poorly differentiated @CHEMICAL$ carcinoma anaplastic thyroid carcinoma, and progressive medullary thyroid carcinoma. false +vyFUr2i9kHwQP8drVClj34aGoSQ Most of these tumors are in 3 groups: radioactive @CHEMICAL$ @DISEASE$ including poorly differentiated thyroid carcinoma anaplastic thyroid carcinoma, and progressive medullary thyroid carcinoma. false +2j8R3lz1aJAGAjEE8apn8vtXOQ4 Most of these tumors are in 3 groups: radioactive iodine-refractory @DISEASE$ including poorly differentiated thyroid carcinoma anaplastic @CHEMICAL$ carcinoma, and progressive medullary thyroid carcinoma. false +XdxI7DAnIVg12Kfp0TrycW8_u_g Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated @CHEMICAL$ carcinoma including poorly differentiated thyroid carcinoma anaplastic thyroid carcinoma, and progressive @DISEASE$. false +wvkwhVJ8sqhiqBctoSECYkN4dRc Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including poorly differentiated thyroid carcinoma anaplastic @CHEMICAL$ carcinoma, and progressive @DISEASE$. false +3i6uzntTNTtwj1Zr3T1MgZNyQao Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including @DISEASE$ anaplastic thyroid carcinoma, and progressive medullary @CHEMICAL$ carcinoma. false +ncAuB1izUXfTKJvM1CZBRvTmT2k Most of these tumors are in 3 groups: radioactive @CHEMICAL$ differentiated thyroid carcinoma including poorly differentiated thyroid carcinoma @DISEASE$, and progressive medullary thyroid carcinoma. false +uzNzVWyRbw2KzHH9tn0ninDep1E Most of these tumors are in 3 groups: radioactive @CHEMICAL$ differentiated thyroid carcinoma including @DISEASE$ anaplastic thyroid carcinoma, and progressive medullary thyroid carcinoma. false +TD2BR_c7I4r-lUHpWE4c3lw2CK4 Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including poorly differentiated @CHEMICAL$ carcinoma anaplastic thyroid carcinoma, and progressive @DISEASE$. false +AwIzkBaWS6H3AIw26mXE5b2veUw Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated @CHEMICAL$ carcinoma including poorly differentiated thyroid carcinoma @DISEASE$, and progressive medullary thyroid carcinoma. false +xssOZ22qxHf6_DoqAC7wB6GFjjI Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including @DISEASE$ anaplastic @CHEMICAL$ carcinoma, and progressive medullary thyroid carcinoma. false +6YHA6AGBK8PG9fe2FBm3ugUxFN0 Most of these tumors are in 3 groups: radioactive @CHEMICAL$ differentiated thyroid carcinoma including poorly differentiated thyroid carcinoma anaplastic thyroid carcinoma, and progressive @DISEASE$. false +j4jGE-WUopGQ2JemYL6E3zptL5Y Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including poorly differentiated @CHEMICAL$ carcinoma @DISEASE$, and progressive medullary thyroid carcinoma. false +_D5Qp8O8mi4dNp-RvdrHuOCsi8E Using the @CHEMICAL$ Torrent platform, we developed a low-cost next-generation sequencing gene panel that has been transferred into clinical practice, replacing single @DISEASE$ analyses for the early diagnosis of individuals with ID/ASD. false +V0Iw-iDQMzzJFl7DjC_SF1WuL4I Using the @CHEMICAL$ Torrent platform, we developed a low-cost next-generation sequencing gene panel that has been transferred into clinical practice, replacing single disease-gene analyses for the early diagnosis of individuals with @DISEASE$ false +QlQHRulY-84sbzy1WxiVZhOAvFs In addition, plasma free fatty acid (@DISEASE$) levels were decreased with a concomitant decrease in the expression of lipase adipose triglyceride lipase (ATGL) and @CHEMICAL$ lipase (HSL) in adipose tissue. false +Yqqvk4a7teG9zd0ur8ekN9bVmSA In addition, plasma free fatty acid (@DISEASE$) levels were decreased with a concomitant decrease in the expression of lipase adipose @CHEMICAL$ lipase (ATGL) and hormone-sensitive lipase (HSL) in adipose tissue. false +Ww_DGTrmrjLx4h5GMVFHIj4w0tM In addition, plasma free @CHEMICAL$ acid (@DISEASE$) levels were decreased with a concomitant decrease in the expression of lipase adipose triglyceride lipase (ATGL) and hormone-sensitive lipase (HSL) in adipose tissue. false +R4TBZ00NMD8e86xOFLI6ySs6dK8 In addition, plasma free @CHEMICAL$ (FFA) levels were decreased with a concomitant decrease in the expression of lipase adipose triglyceride lipase (ATGL) and @DISEASE$ lipase (HSL) in adipose tissue. false +NWVLlSXvKkegcFkq3vUsLoqcQl0 In addition, plasma free @CHEMICAL$ (@DISEASE$) levels were decreased with a concomitant decrease in the expression of lipase adipose triglyceride lipase (ATGL) and hormone-sensitive lipase (HSL) in adipose tissue. false +ph50N6ldKVr1_rFeAp_i4ALgNA4 In addition, plasma free @CHEMICAL$ acid (FFA) levels were decreased with a concomitant decrease in the expression of lipase adipose triglyceride lipase (ATGL) and @DISEASE$ lipase (HSL) in adipose tissue. false +npt66DWU4OEoOtspPhlPKa3CcSw In addition, plasma free fatty acid (FFA) levels were decreased with a concomitant decrease in the expression of lipase adipose @CHEMICAL$ lipase (ATGL) and @DISEASE$ lipase (HSL) in adipose tissue. false +7iM_Eq9In9sj85yXZcrXhvzV4rc Disinfectant potential in inactivation of @DISEASE$ adenoviruses by @CHEMICAL$ peroxymonosulfate. false +aw1PTejiM7tVYfKCzweb1fjoc9E @CHEMICAL$ potential in inactivation of @DISEASE$ adenoviruses by potassium peroxymonosulfate. false +Ea_3KjEb4IPVnDAR1DMcrxCkug4 Real-time polymerase chain reaction and western blotting were used to analyze mRNA and @CHEMICAL$ expression of the target gene @DISEASE$. false +wyUx6fxg8a9f6YHdNuWgV7YEDYs Real-time polymerase chain reaction and western blotting were used to analyze @CHEMICAL$ and protein expression of the target gene @DISEASE$. false +Zvpy8aIxKV9gYg0d75mHVSI-UeA This reaction was initially managed with wet dressings and topical @CHEMICAL$, but there was no improvement in pain or @DISEASE$. treats +d7PhojJpESkmpAtT8sigVlXc5_8 @CHEMICAL$ suppresses @DISEASE$ cell growth, invasion and migration via EMT regulation. treats +qt6QfhfUpFsw2pMV-3t81SAanAo Using Mixed Salt Electrolytes to Stabilize @CHEMICAL$ Anodes for @DISEASE$ Batteries via in Situ Formation of Li-M-Si Ternaries (M = Mg, Zn, Al, Ca). false +IpLue_qaZg10iem7VQVGwGahFaQ Decisions regarding whether to use chemohormonal therapy or @CHEMICAL$ and ADT for men with mHSPC should integrate consideration of volume of @DISEASE$ burden, quality of life effects, duration of therapy, and patient preferences for treatment as there is no formally powered prospective head-to-head comparison of these options demonstrating superiority of one approach over the other. treats +aH29oW3vZIgWWqgY9H9_-Jss3Oc Decisions regarding whether to use @CHEMICAL$ or abiraterone and ADT for men with @DISEASE$ should integrate consideration of volume of disease burden, quality of life effects, duration of therapy, and patient preferences for treatment as there is no formally powered prospective head-to-head comparison of these options demonstrating superiority of one approach over the other. treats +WcXjZiFbixP0SFeBIup0Vdw-Y_M Decisions regarding whether to use chemohormonal therapy or @CHEMICAL$ and ADT for men with @DISEASE$ should integrate consideration of volume of disease burden, quality of life effects, duration of therapy, and patient preferences for treatment as there is no formally powered prospective head-to-head comparison of these options demonstrating superiority of one approach over the other. treats +4d4iw2663KNM5FFI2AIeklChFuk Decisions regarding whether to use @CHEMICAL$ or abiraterone and ADT for men with mHSPC should integrate consideration of volume of @DISEASE$ burden, quality of life effects, duration of therapy, and patient preferences for treatment as there is no formally powered prospective head-to-head comparison of these options demonstrating superiority of one approach over the other. treats +brVqYVKoPmaXYk0O2-5Ek2fS2pU Fifteen weeks antepartum, 38 multiparous Holstein cows were allocated to either a high body condition @CHEMICAL$ (HBCS; n = 19) or a normal body @DISEASE$ group (NBCS; n = 19) and were fed different diets until dry-off (d -49 relative to calving) to amplify the difference. false +s6UGkewPmapOPfV7lfncNkQQm6I Fifteen weeks antepartum, 38 multiparous Holstein cows were allocated to either a high body condition @CHEMICAL$ (HBCS; n = 19) or a normal body condition group (NBCS; n = 19) and were @DISEASE$ different diets until dry-off (d -49 relative to calving) to amplify the difference. false +gF-Vrql7q9nPwCACAfWz2LDF8pg Fifteen weeks antepartum, 38 multiparous Holstein cows were allocated to either a high body @DISEASE$ group (HBCS; n = 19) or a normal body condition @CHEMICAL$ (NBCS; n = 19) and were fed different diets until dry-off (d -49 relative to calving) to amplify the difference. false +ti-LljlAboef1GZ6jZM_OfMQTlo Fifteen weeks antepartum, 38 multiparous Holstein cows were allocated to either a high body @DISEASE$ @CHEMICAL$ (HBCS; n = 19) or a normal body condition group (NBCS; n = 19) and were fed different diets until dry-off (d -49 relative to calving) to amplify the difference. false +MzuJFUtCmNfDZn2ncChE6Pwuq70 Fifteen weeks antepartum, 38 multiparous Holstein cows were allocated to either a high body condition group (HBCS; n = 19) or a normal body condition @CHEMICAL$ (NBCS; n = 19) and were @DISEASE$ different diets until dry-off (d -49 relative to calving) to amplify the difference. false +gQl7BCIrY6ngQumVsAlr7j7awDQ Fifteen weeks antepartum, 38 multiparous Holstein cows were allocated to either a high body condition group (HBCS; n = 19) or a normal body @DISEASE$ @CHEMICAL$ (NBCS; n = 19) and were fed different diets until dry-off (d -49 relative to calving) to amplify the difference. false +SGgKbQU030uF5pcBizcy4KGK-js In the current context of emerging @CHEMICAL$ resistance, most studies have focused on Candida albicans, @DISEASE$ or Candida auris but, so far, less is known about the underlying mechanisms of resistance in other species, including Candida orthopsilosis. false +x7N_hFCZ50tIMleDT67N2P6kfJs Changes in @CHEMICAL$ free mass, functional exercise capacity and in symptoms of @DISEASE$ and depression correlated weakly to changes in health status measured with all questionnaires. false +yl00jcvPqEMcOofGqCCa4ELsQYs Changes in @CHEMICAL$ free mass, functional exercise capacity and in symptoms of anxiety and @DISEASE$ correlated weakly to changes in health status measured with all questionnaires. false +9i0gD8bvi4cw-igW2TkTchLs6p4 New @CHEMICAL$ have been approved based on molecular testing instead of @DISEASE$ site of origin. treats +hQJAQY0il0UlC8XV6AlHNgPeBQA @CHEMICAL$ Supplementation Effectively Reverses the Abnormal Phenotypes of Zebrafish Larvae With @DISEASE$. treats +MpTe_3AKMU4z5T4gXvNoiRQEQDo @CHEMICAL$ alleviated the Mø1/Mø2 imbalance, reduced the inflammatory response, decreased myocardial cell apoptosis, and protected against @DISEASE$ and cardiac dysfunction in LPS-treated mice. treats +gY2f17sZ0RPlszw71Q0UmhNFUWE @CHEMICAL$ alleviated the Mø1/Mø2 imbalance, reduced the inflammatory response, decreased myocardial cell apoptosis, and protected against cardiac injury and @DISEASE$ in LPS-treated mice. treats +IaKanlhjCBF-ckVaJLGGXN6haaQ Consecutive 661 @DISEASE$ (NVAF) patients treated with @CHEMICAL$ between 2012 and 2017 were recruited. treats +qwJvM4nHJjm_51Ead7OF-SIdRRE activation of NK cells restored @DISEASE$ trafficking and reactivity, hence provided a therapeutic modality while their fold expansion could be a potentially significant prognostic @CHEMICAL$ of OS and DFS in such patients. false +n-mk4TjewPEhY9k5BSmd__Frpe0 It also significantly decreased the @DISEASE$ infiltration area and blood vessel density, and increased the percentages of cells with @CHEMICAL$ deformation and cells with condensed chromatin in tumor tissues. false +VQ8ludPfaDZkNtfGNFMfvyaVw-A It also significantly decreased the tumor infiltration area and blood vessel density, and increased the percentages of cells with @CHEMICAL$ deformation and cells with condensed chromatin in @DISEASE$ tissues. false +m7JHmvcxawnc2pENLasCGPg2zAc It also significantly decreased the tumor infiltration area and @DISEASE$ vessel density, and increased the percentages of cells with @CHEMICAL$ deformation and cells with condensed chromatin in tumor tissues. false +hQNpfsMVUXyPcvCKN2hzDgUGq7A Combination of METTL3 and YTHDF1 can be regarded as the @CHEMICAL$ marker that reflect malignant degree and evaluate prognosis in @DISEASE$ false +pT0deCef7S5drabYk6bTOff48ok Our findings suggest that higher serum copper and lower serum @CHEMICAL$ levels may contribute to neuronal impairment by affecting neuronal biochemical metabolite ratios in the right PFC and right LN of @DISEASE$ patients. false +SaVP7a-Qu_4sQbdoQ6vEreEyNO8 Our findings suggest that higher serum copper and lower serum zinc levels may contribute to neuronal impairment by affecting neuronal biochemical @CHEMICAL$ ratios in the right PFC and right LN of @DISEASE$ patients. false +D-Pp-xVB_NCXQDQKRcvMTR3vC6w Our findings suggest that higher serum @CHEMICAL$ and lower serum zinc levels may contribute to neuronal impairment by affecting neuronal biochemical metabolite ratios in the right PFC and right LN of @DISEASE$ patients. false +t-oxJCy3AELD9Fl8MX5YnSAq1fk Our findings suggest that higher serum copper and lower serum zinc levels may contribute to neuronal impairment by affecting neuronal @CHEMICAL$ metabolite ratios in the right PFC and right LN of @DISEASE$ patients. false +lEpK2xxDBRHnKDtIDGcXXG49EuI However, @CHEMICAL$ drugs such as l-boronophenylalanine (BPA) and sodium borocaptate have low boron content and/or poor @DISEASE$ ability, limiting their application. false +LvSe6dlcasqoNVH_evzXlhwIAb0 However, boron-containing drugs such as l-boronophenylalanine (BPA) and sodium borocaptate have low @CHEMICAL$ content and/or poor @DISEASE$ ability, limiting their application. false +NpaM3qhmS0yeYEDeZxSmxGZMLKo However, boron-containing drugs such as l-boronophenylalanine (BPA) and @CHEMICAL$ borocaptate have low boron content and/or poor @DISEASE$ ability, limiting their application. false +082oIZU7LvNasxcN8Q2RnpPTd8k Short @DISEASE$ (ASK1-Interacting @CHEMICAL$) Isoform Localizes to the Mitochondria and Promotes Vascular Dysfunction. false +VYBSQRz13BrodMOX4oGMAZzQh5E @CHEMICAL$ administration differentially affects the response to experimental psychosocial stress in post-menopausal women with or without a history of @DISEASE$. false +PxzeJeG0lM0K2gmG7R88BuXEBJY Altogether, we suggest that the elevated NETosis in blood can be used as a @CHEMICAL$ to detect early HNC and to predict patients at risk to develop @DISEASE$ metastasis. false +NOsm2RmWeSpXXZk4_m6mpr_I4jA Altogether, we suggest that the elevated NETosis in @DISEASE$ can be used as a @CHEMICAL$ to detect early HNC and to predict patients at risk to develop tumor metastasis. false +U6iPP3AsWCBv-4hDloDKX0towiI The SIMPLE (Simple basal Insulin titration, Metformin Plus Liraglutide for type 2 diabetes with very Elevated HbA1c) study compared GLP1RA plus basal insulin (GLP1RA+BI) to basal-bolus @CHEMICAL$ (BBI) regimen in participants with very uncontrolled @DISEASE$ (T2DM). treats +_t-xV8NtMMBgBwpsEL2tVI285Q8 The SIMPLE (Simple basal Insulin titration, Metformin Plus @CHEMICAL$ for @DISEASE$ with very Elevated HbA1c) study compared GLP1RA plus basal insulin (GLP1RA+BI) to basal-bolus insulin (BBI) regimen in participants with very uncontrolled type 2 diabetes mellitus (T2DM). treats +CTKd2R_7l29YXYCYc99FuyNVZAo The SIMPLE (Simple basal Insulin titration, Metformin Plus Liraglutide for type 2 diabetes with very Elevated HbA1c) study compared @CHEMICAL$ plus basal insulin (GLP1RA+BI) to basal-bolus insulin (BBI) regimen in participants with very uncontrolled @DISEASE$ (T2DM). treats +J7ULpkJWnzxkiZkjCRIL8G939x8 The SIMPLE (Simple basal Insulin titration, Metformin Plus Liraglutide for type 2 diabetes with very Elevated HbA1c) study compared GLP1RA plus @CHEMICAL$ (GLP1RA+BI) to basal-bolus insulin (BBI) regimen in participants with very uncontrolled @DISEASE$ (T2DM). treats +pxXlcOR6RdC3laR8C9guEKy2oA4 The SIMPLE (Simple basal Insulin titration, @CHEMICAL$ Plus Liraglutide for @DISEASE$ with very Elevated HbA1c) study compared GLP1RA plus basal insulin (GLP1RA+BI) to basal-bolus insulin (BBI) regimen in participants with very uncontrolled type 2 diabetes mellitus (T2DM). treats +rFJIoNrKjEfIWNYi0OzHY54tvSI Cells from HESN were less susceptible to @DISEASE$ and expressed higher IL-21 @CHEMICAL$ levels than healthy controls at both baseline and 7-days post-infection; similar results were observed for IL-6, perforin, and granzyme. false +S_zuFwizU9hVWhoHcqb6mymj4yg Cells from HESN were less susceptible to infection and expressed higher IL-21 @CHEMICAL$ levels than healthy controls at both baseline and 7-days @DISEASE$; similar results were observed for IL-6, perforin, and granzyme. false +5r-0wu-tdtH85VzR7nFJcPbQMr8 The five most @DISEASE$ adverse events (dissociation, nausea, vertigo, dysgeusia, and dizziness) all were observed more frequently in the esketamine plus @CHEMICAL$ arm than in the antidepressant plus placebo arm; 7% and 0.9% of patients in the respective treatment groups discontinued study drug because of an adverse event. false +ce-pfCVqFkRYCKcipYGtw3X16sg The five most @DISEASE$ adverse events (dissociation, nausea, vertigo, dysgeusia, and dizziness) all were observed more frequently in the esketamine plus antidepressant arm than in the antidepressant plus placebo arm; 7% and 0.9% of patients in the respective treatment groups discontinued study @CHEMICAL$ because of an adverse event. false +wOYzIVA1MOanxGSP8vw34bQCdf8 The five most @DISEASE$ adverse events (dissociation, nausea, vertigo, dysgeusia, and dizziness) all were observed more frequently in the esketamine plus antidepressant arm than in the @CHEMICAL$ plus placebo arm; 7% and 0.9% of patients in the respective treatment groups discontinued study drug because of an adverse event. false +LDhE7hvOJL5O1RGxNrznLwVaMi0 The five most @DISEASE$ adverse events (dissociation, nausea, vertigo, dysgeusia, and dizziness) all were observed more frequently in the @CHEMICAL$ plus antidepressant arm than in the antidepressant plus placebo arm; 7% and 0.9% of patients in the respective treatment groups discontinued study drug because of an adverse event. false +u3A4LhSVjJyn-f5y7WIR0k-z_Hk A third of cases of @DISEASE$ are due to @CHEMICAL$ hypersensitivity which being a diagnosis of exclusion with varying manifestations, requires a high index of clinical suspicion. false +6WY3LkAnt6003cr5AMzzOLGWDAU A third of cases of leukocytoclastic vasculitis are due to @CHEMICAL$ @DISEASE$ which being a diagnosis of exclusion with varying manifestations, requires a high index of clinical suspicion. false +IcPjr9dT_gG5j8xL_VVUVSDqX9Q @CHEMICAL$ Induced @DISEASE$ after Cavernous Hemangioma Ablation. false +hU6Qno4C5NOpUhoG1uIhQP86Pjo @CHEMICAL$ Induced Acute Kidney Injury after @DISEASE$ Ablation. false +kVb7zYHHkahCz-eeG6fUESeVS_s The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of degenerative diseases, with the most profound effect on dementia, heart failure (HF), and @DISEASE$ (CLD), translating to the development of these diseases in 3 million fewer people in the United States alone. treats +kqBdn6HkyfHw-tXqOuROZImGpJs The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of @DISEASE$, with the most profound effect on dementia, heart failure (HF), and chronic lung disease (CLD), translating to the development of these diseases in 3 million fewer people in the United States alone. treats +wmKSx3tQ1UABTonXd-u0DJs5wK4 The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of degenerative diseases, with the most profound effect on dementia, heart failure (@DISEASE$, and chronic lung disease (CLD), translating to the development of these diseases in 3 million fewer people in the United States alone. treats +cRYCefXdZIUeDlGn8JImxsoA7uA The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of degenerative diseases, with the most profound effect on dementia, @DISEASE$ (HF), and chronic lung disease (CLD), translating to the development of these diseases in 3 million fewer people in the United States alone. treats +DGmpxHssRtaDCv2WSHaEZitqSIA The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of degenerative diseases, with the most profound effect on dementia, heart failure (HF), and chronic lung disease (@DISEASE$), translating to the development of these diseases in 3 million fewer people in the United States alone. treats +atvz6gIEJFT92zSvlt4LZqKWCh0 The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of degenerative diseases, with the most profound effect on @DISEASE$, heart failure (HF), and chronic lung disease (CLD), translating to the development of these diseases in 3 million fewer people in the United States alone. treats +nF6K0MhtBP-EDrM_Z46R_ia62g8 The analysis estimates that improving @CHEMICAL$ throughout life may greatly decrease the prevalence of degenerative diseases, with the most profound effect on dementia, heart failure (HF), and chronic lung disease (CLD), translating to the development of these @DISEASE$ in 3 million fewer people in the United States alone. treats +oBW3502lJBgQPAQVjqDT8TrZe_E Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National @DISEASE$ Data @CHEMICAL$) and a molecular database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. false +Bla2BRYAasN1UB-IkdEnzzabmk8 Cross-platform analyses using @DISEASE$ databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data Base) and a @CHEMICAL$ database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. false +NCNfz3g3dz-8JFfYrvfYhXp4yIs Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National @DISEASE$ Data Base) and a molecular database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic @CHEMICAL$ differences between AA and EA patients based on genetic ancestry. false +olu_g3prGKgGAaayrx0bBqDHths Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data Base) and a @CHEMICAL$ database (The @DISEASE$ Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. false +vlMIYtEMhUvo_syj7ZE7G_sOOzo Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National @DISEASE$ Data Base) and a @CHEMICAL$ database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. false +RKZjmBS-CpJa3YuPKtcnw0N9clY Cross-platform analyses using @DISEASE$ databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data @CHEMICAL$) and a molecular database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. false +QvD_T7lBjUD-oe6YF9RbEy_F48k Cross-platform analyses using @DISEASE$ databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data Base) and a molecular database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic @CHEMICAL$ differences between AA and EA patients based on genetic ancestry. false +AKB1n7-Kijiclb4TM3bq3kSjS9U Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data @CHEMICAL$) and a molecular database (The @DISEASE$ Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. false +KRJTL-yptt70bAadiDTeo1bArw4 Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data Base) and a molecular database (The @DISEASE$ Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic @CHEMICAL$ differences between AA and EA patients based on genetic ancestry. false +rf2RRdJTH9MKSExRNW7FKh5OZjU /TNF-R1 Signals by @CHEMICAL$ May Be a Significant Mechanism of Attenuation in @DISEASE$. treats +TifbJfGELmBJMRmbLrVYWYYtb7E Significantly favorable transitions from both GG and LF ILD patterns to NL were found in patients undergoing @CHEMICAL$ treatment for @DISEASE$, suggesting the usefulness of examining these transitions for insights into the underlying pathobiology of treatment response. treats +FppxTi4YA26woZ7fBE8b8o0HSpk The aim of this study was to assess the effects of oral @CHEMICAL$ administration in monocrotaline (MCT)-induced @DISEASE$ treats +XHHvsEgrqhVFlXVXSqIGa1VZV48 Comment on "Anesthetic technique and @DISEASE$ outcomes: a meta-analysis of total intravenous versus volatile @CHEMICAL$. false +Ab2Ncq-sSp2SELsL1AGU7Vnz7RI Comment on "@CHEMICAL$ technique and @DISEASE$ outcomes: a meta-analysis of total intravenous versus volatile anesthesia". false +QKGHeAwXk6zl23tkUclaTYP4ZmI The rabbits were injected with type Ⅰ collagenase to prepare Achilles tendinopathy models in groups A, C, and D, and with an equal dose of normal saline in group B. The blood from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in @CHEMICAL$ D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole @DISEASE$. false +5BDtws-1_TX-KFBcI5e5R4NfqZ8 The rabbits were injected with type Ⅰ collagenase to prepare Achilles @DISEASE$ models in groups A, C, and D, and with an equal dose of normal saline in @CHEMICAL$ B. The blood from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in group D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole blood. false +EdA3tHFJt_sczbaxxdbIQ00Wc3w The rabbits were injected with type Ⅰ collagenase to prepare Achilles @DISEASE$ models in groups A, C, and D, and with an equal dose of normal saline in group B. The blood from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in @CHEMICAL$ D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole blood. false +Zd5af5ORQkmeiShWYR5XKXpSUwQ The rabbits were injected with type Ⅰ collagenase to prepare Achilles tendinopathy models in groups A, C, and D, and with an equal dose of normal saline in group B. The @DISEASE$ from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in @CHEMICAL$ D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole blood. false +z2GqyIE2mARd1EN29igKpZBvmW8 The rabbits were injected with type Ⅰ collagenase to prepare Achilles tendinopathy models in groups A, C, and D, and with an equal dose of normal saline in @CHEMICAL$ B. The @DISEASE$ from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in group D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole blood. false +3jHrt7SgZV21_m3tRwFRwOF8S3E The rabbits were injected with type Ⅰ collagenase to prepare Achilles tendinopathy models in groups A, C, and D, and with an equal dose of normal saline in @CHEMICAL$ B. The blood from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in group D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole @DISEASE$. false +H2Z718c3Sj_vF87lSmZ_ZsTjXnM The rabbits were injected with type Ⅰ collagenase to prepare Achilles tendinopathy models in groups A, C, and D, and with an equal dose of normal @CHEMICAL$ in group B. The @DISEASE$ from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in group D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole blood. false +E7HudRQo47NIR9_5ziW_UKWf9HM The rabbits were injected with type Ⅰ collagenase to prepare Achilles tendinopathy models in groups A, C, and D, and with an equal dose of normal @CHEMICAL$ in group B. The blood from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in group D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole @DISEASE$. false +hP8ytPxoTSgpE3OyOOjs5RJLmC8 The rabbits were injected with type Ⅰ collagenase to prepare Achilles @DISEASE$ models in groups A, C, and D, and with an equal dose of normal @CHEMICAL$ in group B. The blood from the central artery of rabbit ear was taken to preprare PRP by secondary centrifugation in group D. The results of platelet counts showed that PRP platelets reached 3 to 5 times the whole blood. false +TqvKhk4pOpDRH0VwETXyOn1kk1E The key words used were @DISEASE$, "brain injury", "inflammation", @CHEMICAL$ stress", "cytokines", "chemokines", "neuropsychomotor development", "neurodevelopment outcomes" and "child". false +dhQLTCdRQ-HDFP153hGB0S-cvf0 The key words used were "cerebral palsy", @DISEASE$, "inflammation", @CHEMICAL$ stress", "cytokines", "chemokines", "neuropsychomotor development", "neurodevelopment outcomes" and "child". false +7OljkZI7NuxIhSeb01dFSZlCR98 For early-stage patients, the 5 year @DISEASE$ survival rate was 52.7% compared with 32.4% in the advanced stage @CHEMICAL$ (p=0.022). false +U0b49BgKQTuBD46-MJj0GCBQwFk Role of @CHEMICAL$ in Patients with @DISEASE$. treats +DF0W5fe2KvyR9cB5slH55PDL9sE The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of G6PD by activating the forkhead box protein M1-high mobility @CHEMICAL$ AT-hook 1-G6PD (@DISEASE$) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 protein. false +XdSU-qnF-gzx7spugfwVRe2YNYY The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of @DISEASE$ by activating the forkhead box protein M1-high mobility group AT-hook 1-G6PD (FOXM1-HMGA1-G6PD) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 @CHEMICAL$. false +S3QfyI_WWUN5pWp_uzhyVCsWRjA The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of G6PD by activating the forkhead box @CHEMICAL$ M1-high mobility group AT-hook @DISEASE$ (FOXM1-HMGA1-G6PD) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 protein. false +QhzyWUnRl3-GrbEiwA5WHebwVH4 The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of @DISEASE$ by activating the forkhead box protein M1-high mobility @CHEMICAL$ AT-hook 1-G6PD (FOXM1-HMGA1-G6PD) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 protein. false +cvCpQL-LlQSa7XMexga-JXBVEAA The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of G6PD by activating the forkhead box protein M1-high mobility @CHEMICAL$ AT-hook @DISEASE$ (FOXM1-HMGA1-G6PD) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 protein. false +0agVsbZiCx1Am7Ue0C1X0AP6yQQ The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of @DISEASE$ by activating the forkhead box @CHEMICAL$ M1-high mobility group AT-hook 1-G6PD (FOXM1-HMGA1-G6PD) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 protein. false +Ly5JKIj-puxrmXopXegDhBG4enU The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of G6PD by activating the forkhead box @CHEMICAL$ M1-high mobility group AT-hook 1-G6PD (@DISEASE$) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 protein. false +ptM7THQ6kSYCjL8fhVpugPSEzh8 The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of G6PD by activating the forkhead box protein M1-high mobility group AT-hook 1-G6PD (@DISEASE$) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 @CHEMICAL$. false +RCCPDfH56fpvQgtem_hJVa9RdsU The experimental results showed that transforming growth factor beta 1 (TGFβ1) increased the expression of G6PD by activating the forkhead box protein M1-high mobility group AT-hook @DISEASE$ (FOXM1-HMGA1-G6PD) transcriptional regulatory pathway, in which TGFβ1 inhibited the ubiquitination and degradation of FOXM1 @CHEMICAL$. false +XHotDCKkbfLxfXBCtoNNHMIe_cA Fluorine content in serum of women with @DISEASE$ did not statistically significantly differ from that of the control @CHEMICAL$ and amounted to 0.224 ± 0.043 and 0.228 ± 0.023 ppm, respectively. false +rBNWyt1N56AHhaPzS7mpq66vd40 @CHEMICAL$ content in serum of women with @DISEASE$ did not statistically significantly differ from that of the control group and amounted to 0.224 ± 0.043 and 0.228 ± 0.023 ppm, respectively. false +QT49tIk_Sx-Q_NtAzBIg7sk14ms This review will summarize the current knowledge of the clinical, biochemical, @CHEMICAL$ and histological profile of atypical parathyroid @DISEASE$. false +UvTVEb4fhEp7dZUSJQq5PVpTCEk This review will summarize the current knowledge of the clinical, @CHEMICAL$, molecular and histological profile of atypical parathyroid @DISEASE$. false +I353KTCr2ycZbbRu8bAUR25Ijl4 Of the 73 participants, 56.2% were classified as diffuse @CHEMICAL$ and 26% limited @DISEASE$ false +6a-soHMzz2YczPo_VAGZ5GqKE2k Of the 73 participants, 56.2% were classified as diffuse @DISEASE$ and 26% limited @CHEMICAL$ false +Rlby1ZXX-QD2bTo023P4n0V7YlI Liver transplantation is a curative treatment option for @DISEASE$ and AH, but patients must abstain from @CHEMICAL$ use for 6 months to qualify. false +hMUFvSelWW6K0WSNJH5HeAvkZaE @DISEASE$ caused by isobornyl @CHEMICAL$ in the Enlite glucose sensor and the Paradigm MiniMed Quick-set insulin infusion set. false +CZyuMZqq4LrLyGyNcqF35uLp0j0 @DISEASE$ caused by isobornyl acrylate in the Enlite @CHEMICAL$ sensor and the Paradigm MiniMed Quick-set insulin infusion set. false +rlWZWCV2-rwrNu2jxcpl8i_8mYE The average iron content of @CHEMICAL$ is an important marker for conditions such as @DISEASE$, inflammation, and infection. false +tHGecNkliWtxT1Q_EBzMUsJFRps The average @CHEMICAL$ content of ferritin is an important marker for conditions such as injury, inflammation, and @DISEASE$. false +qgCU_xE221zUlKjBHRkf3WlMiY0 The average iron content of @CHEMICAL$ is an important marker for conditions such as injury, inflammation, and @DISEASE$. false +zTpW5BPO9hz7-mt0spc_ACiCv_c The average @CHEMICAL$ content of ferritin is an important marker for conditions such as @DISEASE$, inflammation, and infection. false +LXlvGrTinHibX9nKcJqc7x0lR1A Alternatively, they presented a lower rate of diabetes mellitus, lower incidence of de novo @DISEASE$, and lower prescription of @CHEMICAL$, aldosterone blockers, anticoagulants, and statins at hospital discharge. treats +9k7oozSiQ8XOxE4htyq09BxQzFo Alternatively, they presented a lower rate of diabetes mellitus, lower incidence of de novo @DISEASE$, and lower prescription of angiotensin-converting-enzyme inhibitors, aldosterone blockers, anticoagulants, and @CHEMICAL$ at hospital discharge. treats +HP3t7ukNZdgVogzsLGEdSMKrTKM Alternatively, they presented a lower rate of diabetes mellitus, lower incidence of de novo @DISEASE$, and lower prescription of angiotensin-converting-enzyme inhibitors, @CHEMICAL$, anticoagulants, and statins at hospital discharge. treats +XJyqwNXynncwBfcDlHzDSxDhdYM Alternatively, they presented a lower rate of diabetes mellitus, lower incidence of de novo @DISEASE$, and lower prescription of angiotensin-converting-enzyme inhibitors, aldosterone blockers, @CHEMICAL$, and statins at hospital discharge. treats +LyjU2vOHWr31v5mqVt4SUvjwyEw PHPT has a high prevalence in Western communities, PHPT has a high prevalence in Western communities, yet evidence is sparse concerning the natural history and whether morbidity and long-term outcomes are related to @DISEASE$ or plasma @CHEMICAL$ concentrations, or both. false +03wNViSLL1Dp-nuPdrImgyfrtC4 An Increased Level of Aryl @CHEMICAL$ Receptor in Patients with @DISEASE$. false +rob-u3CWgH9J-nB1tmCJOvLkmhw During the last two decades, hair @CHEMICAL$ concentration (@DISEASE$) has proven to be a promising marker for the evaluation of increased hypothalamic-pituitary-adrenal axis activity caused by repeated or long-term stressful conditions. false +CehMs67x29w63vEs9ERemOD9G_c During the last two decades, hair @CHEMICAL$ concentration (HCC) has proven to be a promising marker for the evaluation of increased @DISEASE$ axis activity caused by repeated or long-term stressful conditions. false +RFrdUw38RBxnRgaDXfVDcZk4sHY @CHEMICAL$ Induces Apoptosis and G1 Phase Arrest Through ROS/p38 MAPK Signaling Pathway in Human @DISEASE$ cells in vitro and in vivo. treats +m8paTvmmDAX1-dcCDLSY2aIJ1tc However, it is still unclear whether there are pre-existent resistance mutations in patients with HBV @DISEASE$ and the relationship between @CHEMICAL$ mutation, genotypes, and progression of hepatitis B disease. false +b6Zeb1DgvL7N_cfZtTqeZE3Yp8w However, it is still unclear whether there are pre-existent resistance mutations in patients with HBV infection and the relationship between @CHEMICAL$ mutation, genotypes, and progression of @DISEASE$ disease. false +-bAdXsVqZjx16sT4yA7pxUdIWmk However, it is still unclear whether there are pre-existent resistance mutations in patients with HBV infection and the relationship between @CHEMICAL$ mutation, genotypes, and progression of hepatitis B @DISEASE$. false +dP6sud3Mm50dlp3h6QG2KEOIs5c Ingestion of @CHEMICAL$ supplements, caffeine and medium chain triglycerides (MCTs) may all be effective strategies to increase @DISEASE$ levels of the ketone body beta-hydroxybutyrate (D-BHB). false +99C3vWsWG4yp_zeLPh31MHNiHfQ Ingestion of ketone supplements, caffeine and medium chain @CHEMICAL$ (MCTs) may all be effective strategies to increase @DISEASE$ levels of the ketone body beta-hydroxybutyrate (D-BHB). false +FMhKVincnampttZOx4WvMVXFSi0 Ingestion of ketone supplements, caffeine and medium chain triglycerides (MCTs) may all be effective strategies to increase @DISEASE$ levels of the @CHEMICAL$ beta-hydroxybutyrate (D-BHB). false +1X5aybdzweOoJdSPX8F02Q0Cuig Ingestion of ketone supplements, @CHEMICAL$ and medium chain triglycerides (MCTs) may all be effective strategies to increase @DISEASE$ levels of the ketone body beta-hydroxybutyrate (D-BHB). false +bLo4fXN_V-N7VklrIPopzwQmdXI After 4.0 ka BP, the lower degrees of @CHEMICAL$ weathering indicate that the study area was dominated by a relatively cold and dry climate, and several alternating warm-wet and @DISEASE$ intervals occurred from 3.1 to 0.6 ka BP. false +jWL9f9aFZflxnMjOYa16tsW1QiU After 4.0 ka BP, the lower degrees of @CHEMICAL$ weathering indicate that the study area was dominated by a relatively @DISEASE$ and dry climate, and several alternating warm-wet and cold-dry intervals occurred from 3.1 to 0.6 ka BP. false +kMIH-8tciffhtccKG75OdxdFULA Therefore, the value of QTVI as a tool for @DISEASE$ risk stratification in @CHEMICAL$ merits further research. false +0gCi0H-jrmuPxBrC0Gr9pAEQRcs Inhalation and oral administration were two @DISEASE$ methods for @CHEMICAL$ administration in preclinical and clinical trials. false +i-nbynbwjdtdTixeU58oqMbyLKY We also observed that when @DISEASE$ Noctiluca were cultivated with a mono-species @CHEMICAL$ source, there was a shift in the associated bacterial communities. false +0qwxvq7l3P6FvRjxCnaT2z_SL8Q We also observed that when field-acquired Noctiluca were cultivated with a @DISEASE$ @CHEMICAL$ source, there was a shift in the associated bacterial communities. false +sneShrnjQ1VeZuG58AzJpyuDJrE Chemotherapy-Induced Tumor Cell Death at the Crossroads Between @CHEMICAL$ and Immunotolerance: Focus on @DISEASE$. false +g9QIxU6TbrI69w4n9_C66sjRTEw Chemotherapy-Induced @DISEASE$ Cell Death at the Crossroads Between @CHEMICAL$ and Immunotolerance: Focus on Acute Myeloid Leukemia. false +0ZsugN9duSDM5nLYpbPuQtp_fqI Our findings suggest that @DISEASE$ and LCN2 may be clinically informative @CHEMICAL$ in childhood RSV LRTI in low-resource settings. false +Ne-xdEk3xNKwlRANo_ofBWKX-mQ Fatal @DISEASE$ with neuropathy from domino liver @CHEMICAL$ transplant. false +4aL7iSehC4EagWTt1QFFmYkwk54 Fatal TTR amyloidosis with @DISEASE$ from domino liver @CHEMICAL$ transplant. false +thmoYkspXUqS9mjYudFDwmqscIE We suggest that 30 min sample does not @DISEASE$ any additional diagnostic utility and can be omitted thus simplifying @CHEMICAL$ even further and saving on cost and resources. false +PE1pDOgO-mcDWm06m0Igp3lP34k In mammals, daily rhythms in behavior and physiology are under control of an endogenous clock or pacemaker located in the suprachiasmatic @CHEMICAL$ @DISEASE$ of the hypothalamus. false +0hfuhYBkrwZq1HoGmVHmukQic-E Many of these ingredients are @DISEASE$ dietary sugars, dietary sugar replacements, or very closely related analogs and salts; 7 of the ingredients are listed by the Food and Drug Administration as generally recognized as safe @CHEMICAL$ substances. false +M6QrvZgwk-ZQmUCDILZGOdCrfwc Ductal tree ablation by local delivery of @CHEMICAL$ prevents @DISEASE$ formation in an aggressive mouse model of breast cancer. treats +IL9xfADkcgxY_b9rofaHIU2iLnk Ductal tree ablation by local delivery of @CHEMICAL$ prevents tumor formation in an aggressive mouse model of @DISEASE$. treats +hme-apyLVmPxSYCZdDj4VCSUU9U Chronic and acute complications may be encountered in patients with classical @DISEASE$ and plasma @CHEMICAL$ concentrations pose an additional risk factor. false +pZHI1lujyyaMZeMBg5PIuJJo7bE The molecules currently investigated in the field of @DISEASE$ and coagulation are @CHEMICAL$ and inhibitors of heparanase derived from TF pathway inhibitor 2. Both groups of molecules are inhibitors of heparanase and in addition pose a low bleeding tendency. treats +Jm5kGkcA7IOidMjP_l1_8MsNxUg The molecules currently investigated in the field of @DISEASE$ and coagulation are heparin mimetics and inhibitors of heparanase derived from @CHEMICAL$ Both groups of molecules are inhibitors of heparanase and in addition pose a low bleeding tendency. treats +Dlvtt_RE-hxF1ydCwPwznc3wqw4 The molecules currently investigated in the field of @DISEASE$ and coagulation are heparin mimetics and @CHEMICAL$ derived from TF pathway inhibitor 2. Both groups of molecules are inhibitors of heparanase and in addition pose a low bleeding tendency. treats +BslBHAGvHEd1Z3DGIqc90R5wJb0 The molecules currently investigated in the field of cancer and coagulation are heparin mimetics and inhibitors of heparanase derived from TF pathway inhibitor 2. Both groups of molecules are @CHEMICAL$ of heparanase and in addition pose a low @DISEASE$. false +xNqQSdrX2o1cyznUCqAs38aZMzY The @CHEMICAL$ expression of CR-1 in @DISEASE$ tissue and cells was also significantly higher than in BPH tissue and the normal RWPE-1 prostate cell line (P<0.05). false +1f-p4XmX8EueNTOrvkZ23hcbS2E ALOX12-12-HETE-GPR31 played an important role in @DISEASE$ recurrence and might be a potential therapeutic target to reduce HCC recurrence after surgery in @CHEMICAL$ livers. false +Uvkry6qSOmedT9OOgXN8ZXmo5IY @CHEMICAL$ played an important role in HCC recurrence and might be a potential therapeutic target to reduce @DISEASE$ recurrence after surgery in fatty livers. false +wuzwogPsD6_bvpeAWskFwhP4G0I @CHEMICAL$ played an important role in @DISEASE$ recurrence and might be a potential therapeutic target to reduce HCC recurrence after surgery in fatty livers. false +yutWVw_5Z_i9ppUy8ktOuKORUK4 ALOX12-12-HETE-GPR31 played an important role in HCC recurrence and might be a potential therapeutic target to reduce @DISEASE$ recurrence after surgery in @CHEMICAL$ livers. false +XicWjIyFGAF1m4Tg7Yte-ZBcRRg Coordination complexes have emerged as prominent modulators of amyloid aggregation via their interaction with the N-terminal @CHEMICAL$ residues of @DISEASE$ (Aβ). false +QU3_MKZk7llJRM0w-qNxdjGmf3U Coordination complexes have emerged as prominent modulators of amyloid aggregation via their interaction with the N-terminal @CHEMICAL$ of @DISEASE$ (Aβ). false +kv04aq3oBnlInCjZFhZjf7gl9Y4 Coordination complexes have emerged as prominent modulators of @DISEASE$ aggregation via their interaction with the N-terminal @CHEMICAL$ of amyloid-β (Aβ). false +lK4JHf9X_dsZaM8ouS_EzAUtMsI Coordination complexes have emerged as prominent modulators of @DISEASE$ aggregation via their interaction with the N-terminal @CHEMICAL$ residues of amyloid-β (Aβ). false +zkQwcpKiXf63U8G0OxdSe9GNOaA In this review, we summarize the involvement of altered glucose, @CHEMICAL$, and amino acid metabolic enzyme expression and the underlying molecular mechanisms in EMT induction in @DISEASE$ cells. false +w1Ik0W6v_lspaMrdpo8n3np_4gw In this review, we summarize the involvement of altered glucose, lipid, and @CHEMICAL$ metabolic enzyme expression and the underlying molecular mechanisms in EMT induction in @DISEASE$ cells. false +QXj6qjFHteKz3SjwkAhSbf-KN6o In this review, we summarize the involvement of altered glucose, lipid, and amino acid metabolic @CHEMICAL$ expression and the underlying molecular mechanisms in EMT induction in @DISEASE$ cells. false +Jg5VssXP632T21vEgP4y7JPZ28E In this review, we summarize the involvement of altered glucose, lipid, and amino acid metabolic enzyme expression and the underlying @CHEMICAL$ mechanisms in EMT induction in @DISEASE$ cells. false +bMjGZAZTzYtPDPyImsxg6oubxBI In this review, we summarize the involvement of altered @CHEMICAL$, lipid, and amino acid metabolic enzyme expression and the underlying molecular mechanisms in EMT induction in @DISEASE$ cells. false +eT5uL8DsHlSlWMPufqcBmLDX6_I Double-Blind Placebo-Controlled Trial of @CHEMICAL$ for Methadone-Maintained Individuals With @DISEASE$: Secondary Analysis of Effects on Illicit Opioid Use. treats +-3AheL5DYy5WWK_4-vdxUvjrvyA Whereas glucose control using classical glucose-lowering agents (except perhaps metformin) largely fails to reduce cardiovascular disease (CVD), two new pharmacological classes, @CHEMICAL$ (GLP-1RAs) and sodium-glucose cotransporter type 2 inhibitors (SGLT2is), have proven their ability to reduce major cardiovascular events in patients with established @DISEASE$ treats +MTCea2GrzSZWTu2hpBZ7rKaYAuI Whereas glucose control using classical glucose-lowering agents (except perhaps metformin) largely fails to reduce cardiovascular disease (CVD), two new pharmacological classes, glucagon-like peptide-1 receptor agonists (@CHEMICAL$) and sodium-glucose cotransporter type 2 inhibitors (SGLT2is), have proven their ability to reduce major cardiovascular events in patients with established @DISEASE$ treats +xgDbKHzJvdT_Uc_F4gFd32GRm3M Whereas glucose control using classical glucose-lowering agents (except perhaps metformin) largely fails to reduce cardiovascular disease (CVD), two new pharmacological classes, glucagon-like peptide-1 receptor agonists (GLP-1RAs) and @CHEMICAL$ (SGLT2is), have proven their ability to reduce major cardiovascular events in patients with established @DISEASE$ treats +Ro2h0F-ZQSyNh1uqagMu3yCvox0 Whereas glucose control using classical glucose-lowering agents (except perhaps metformin) largely fails to reduce cardiovascular disease (CVD), two new pharmacological classes, glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter type 2 inhibitors @CHEMICAL$), have proven their ability to reduce major cardiovascular events in patients with established @DISEASE$ treats +dnFlJf82aBVWAxO_jMZgOWsP_zI Whereas glucose control using classical glucose-lowering agents (except perhaps @CHEMICAL$) largely fails to reduce @DISEASE$ (CVD), two new pharmacological classes, glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter type 2 inhibitors (SGLT2is), have proven their ability to reduce major cardiovascular events in patients with established CVD. treats +FUw9cHofR1B4QEhuESHsHpOIRaI Whereas glucose control using classical glucose-lowering agents (except perhaps @CHEMICAL$) largely fails to reduce cardiovascular disease (@DISEASE$, two new pharmacological classes, glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter type 2 inhibitors (SGLT2is), have proven their ability to reduce major cardiovascular events in patients with established CVD. treats +qwKEBpq3MvfnC09qAIe6kzeGumc Considering the qualities of all the @CHEMICAL$ desired to be used as scaffolds, Polycaprolactone @DISEASE$) polyester apart from being biocompatible and biodegradable qualifies to an appreciable level due its easy availability, cost efficacy and suitability for modification. false +XgPP0O48C5yi57DYWfqWPT-0X_0 Considering the qualities of all the polymers desired to be used as scaffolds, Polycaprolactone @DISEASE$) @CHEMICAL$ apart from being biocompatible and biodegradable qualifies to an appreciable level due its easy availability, cost efficacy and suitability for modification. false +2fFwbsdv_kUGa-uBbt4CdzfQmAI Changes in the monoaminergic mechanisms in the brain at different terms after @DISEASE$ are determined by diverse causes and depend on the role of @CHEMICAL$ in the implementation of specific postictal rearrangements in CNS. false +FnmipEKiKyea22QPfl9lqDZz98U For @DISEASE$ survival (DFS), the HR for the RCT @CHEMICAL$ was 0.83 (95% CI 0.65-1.07), false +v_38S8Z1YFW08zyNDWGCPut0Res Reply to: "@CHEMICAL$ and @DISEASE$: Is it a class effect?" false +JshFvKImrZeW6nJ7-u64KhljPC0 @DISEASE$ dental papilla cells and preodontoblasts (preOB) showed intense @CHEMICAL$ and IGF-IRα-positive reactions, and the expression was observed in differentiated odontoblasts, such as immature odontoblasts (iOB) and mature odontoblasts (mOB). false +JiMrWaOqFJ8b5CSZej--UIKYZMc Specifically, the spatial-resolved dual-disk glassy @CHEMICAL$ electrodes were modified with @DISEASE$ nanowires (CdS NWs) and luminol-gold nanoparticles (L-Au NPs) as potential-resolved ECL emitters, respectively. false +HhXnl4SBicFMllYdrq3r5eksRys Specifically, the spatial-resolved dual-disk glassy @CHEMICAL$ electrodes were modified with CdS nanowires (@DISEASE$ NWs) and luminol-gold nanoparticles (L-Au NPs) as potential-resolved ECL emitters, respectively. false +OQiNrJenCfWw3U4nDxP_eCF0sf0 Specifically, the spatial-resolved dual-disk glassy carbon electrodes were modified with CdS nanowires (@DISEASE$ NWs) and @CHEMICAL$ (L-Au NPs) as potential-resolved ECL emitters, respectively. false +uCqVHJo4LBK-yd2lIoCxHDUzpHY Specifically, the spatial-resolved dual-disk glassy carbon electrodes were modified with @DISEASE$ @CHEMICAL$ (CdS NWs) and luminol-gold nanoparticles (L-Au NPs) as potential-resolved ECL emitters, respectively. false +kBOBN5YfzmeujDWgzvhxC_V9kqM Specifically, the spatial-resolved dual-disk glassy carbon electrodes were modified with @DISEASE$ nanowires (CdS NWs) and @CHEMICAL$ (L-Au NPs) as potential-resolved ECL emitters, respectively. false +DgsqPLCcono7e1Y5MrsRNFtRCz4 Specifically, the spatial-resolved dual-disk glassy carbon electrodes were modified with CdS @CHEMICAL$ (@DISEASE$ NWs) and luminol-gold nanoparticles (L-Au NPs) as potential-resolved ECL emitters, respectively. false +8K0K48l9R5BcRhvts4z82AGpO-c Poly-Arginine Peptide-18 (@CHEMICAL$) Reduces Brain Injury and Improves Functional Outcomes in a Nonhuman Primate @DISEASE$ Model. treats +mnJ6uMb27a8oSkDTEg9JUllqe10 Poly-Arginine Peptide-18 (@CHEMICAL$) Reduces @DISEASE$ and Improves Functional Outcomes in a Nonhuman Primate Stroke Model. treats +BNRCD3-BU3U0VdEIqVAIOpxmOHk @CHEMICAL$ (R18) Reduces Brain Injury and Improves Functional Outcomes in a Nonhuman Primate @DISEASE$ Model. treats +eGsICBntX_ojVSKGiSMzbvR8du4 @CHEMICAL$ (R18) Reduces @DISEASE$ and Improves Functional Outcomes in a Nonhuman Primate Stroke Model. treats +kUSUTm8WtMQFQsLBiK2FGBXMqX4 The results suggest that lead absorption is highly influenced due to @CHEMICAL$ levels in body which has an impact over DNA damage, @DISEASE$ cell aberration and oxidative stress caused by lead exposure. false +4di5PyREBrkiJjrHNKbPWFIzGwg The results suggest that @CHEMICAL$ absorption is highly influenced due to zinc levels in body which has an impact over DNA damage, @DISEASE$ cell aberration and oxidative stress caused by lead exposure. false +73FAX3tP55m1bm8Drp2qRyEdbeM The results suggest that lead absorption is highly influenced due to zinc levels in body which has an impact over @CHEMICAL$ damage, @DISEASE$ cell aberration and oxidative stress caused by lead exposure. false +IyhbVqywjaBlsPbw0V8c7ElzOUw The results suggest that lead absorption is highly influenced due to zinc levels in body which has an impact over DNA damage, @DISEASE$ cell aberration and oxidative stress caused by @CHEMICAL$ exposure. false +gL5revo--4GfjRASVpR_xe-IrQc The results suggest that lead absorption is highly influenced due to zinc levels in body which has an impact over DNA damage, @DISEASE$ cell aberration and @CHEMICAL$ stress caused by lead exposure. false +8jgZBuem8f6UBCpbqU6iAe-tnt0 With increasing @DISEASE$ pressure during heat waves, it is recommended to give preference to calcium channel antagonists, @CHEMICAL$ converting enzyme inhibitors (ACE inhibitors) and selective beta-blockers. false +EDlHzWfIvL0sWijRUoMvO4L0ti4 With increasing @DISEASE$ pressure during heat waves, it is recommended to give preference to calcium channel antagonists, angiotensin converting @CHEMICAL$ (ACE inhibitors) and selective beta-blockers. false +ZyOMdNp3Ac2UsSVBlCNdA6dP2pI With increasing @DISEASE$ pressure during heat waves, it is recommended to give preference to calcium channel antagonists, angiotensin converting enzyme inhibitors (ACE @CHEMICAL$) and selective beta-blockers. false +-5kWuQweKQ5SjKLWuh2O9i8fVTw With increasing @DISEASE$ pressure during heat waves, it is recommended to give preference to calcium channel @CHEMICAL$, angiotensin converting enzyme inhibitors (ACE inhibitors) and selective beta-blockers. false +peKWviVgjV5Ob7mO7EoWaXEDpmQ With increasing @DISEASE$ pressure during heat waves, it is recommended to give preference to calcium channel antagonists, angiotensin converting @CHEMICAL$ inhibitors (ACE inhibitors) and selective beta-blockers. false +Xhg211z89rKGjBfqWucgEbqKO74 With increasing @DISEASE$ pressure during heat waves, it is recommended to give preference to @CHEMICAL$ channel antagonists, angiotensin converting enzyme inhibitors (ACE inhibitors) and selective beta-blockers. false +OSFskNi1HukIKvk_yIkpImKWU_g The aim of this study was to assess the relation of @CHEMICAL$ peroxidation and interleukin-6 with carotid @DISEASE$ in type 2 diabetes mellitus. false +MVctY-dgN8X7ZPPQJeW5kTc5Crw The aim of this study was to assess the relation of lipid @CHEMICAL$ and interleukin-6 with carotid atherosclerosis in @DISEASE$. false +7552DLmP5IzhLo5D1Du5KxSYy_I The aim of this study was to assess the relation of @CHEMICAL$ peroxidation and interleukin-6 with carotid atherosclerosis in @DISEASE$. false +VIGOl2TpWrpfSQGgBWPCW1fyZ34 The aim of this study was to assess the relation of lipid @CHEMICAL$ and interleukin-6 with carotid @DISEASE$ in type 2 diabetes mellitus. false +f4DI5ngY8grSuQAB63GAVH9TOPA An @DISEASE$ and dose-dependent increase in antiviral and @CHEMICAL$ metabolism-associated proteins was also observed in BAL neutrophils, indicative of a modest capacity for pathogen response tuning. false +v3zRabZGauZtGxDM_vtF6osPBSI An @DISEASE$ and dose-dependent increase in antiviral and lipid metabolism-associated @CHEMICAL$ was also observed in BAL neutrophils, indicative of a modest capacity for pathogen response tuning. false +mWe_TWJKMjXVmQFE_OnrHuSa1kI Other studies have investigated the relationship between water @DISEASE$ and the degree of hydrolysis of the binder, the proportions of free fatty and @CHEMICAL$ formed, as well as the relative content of free metal soaps. false +UNMgVv5g_ga4Oj63j6mbBIQkRb4 Other studies have investigated the relationship between water @DISEASE$ and the degree of hydrolysis of the binder, the proportions of free @CHEMICAL$ and dicarboxylic acids formed, as well as the relative content of free metal soaps. false +rVKeXjjBwO-3gEwa-Dkh-g6pj6E Other studies have investigated the relationship between @CHEMICAL$ @DISEASE$ and the degree of hydrolysis of the binder, the proportions of free fatty and dicarboxylic acids formed, as well as the relative content of free metal soaps. false +uf2LHJGp4SbzZJlRRUhUCgPIjbA Other studies have investigated the relationship between water @DISEASE$ and the degree of hydrolysis of the binder, the proportions of free fatty and dicarboxylic acids formed, as well as the relative content of free @CHEMICAL$ soaps. false +TTc688S8Z1RC-LBnE34YvfJuZ-A Secondary @CHEMICAL$ outcomes included rates of immediate CPAP acceptance/rejection, and changes in; sleep parameters, @DISEASE$ severity, and daytime impairments by 6-months. false +xznnrtC7x4dqlC5QBLLcujX0NYs The selective ERK5 inhibitor described herein provides a @CHEMICAL$ for further development into a tool compound for more extensive studies seeking to examine the role of ERK5 signalling in cancer and other @DISEASE$. false +4VmRFyrlE7H1QVi8_MJGdwNZkrA The selective ERK5 @CHEMICAL$ described herein provides a lead for further development into a tool compound for more extensive studies seeking to examine the role of ERK5 signalling in cancer and other @DISEASE$. false +Hrz3kOGY4FLSKGbPQ-yJd3kxCTM The selective ERK5 inhibitor described herein provides a @CHEMICAL$ for further development into a tool compound for more extensive studies seeking to examine the role of ERK5 signalling in @DISEASE$ and other diseases. false +rR8M44v7Q2Sn46ceQzi3L-pU9rE The selective ERK5 @CHEMICAL$ described herein provides a lead for further development into a tool compound for more extensive studies seeking to examine the role of ERK5 signalling in @DISEASE$ and other diseases. false +y1OcVb8aJQ-LIwBSVIoaZZLUGPw Also, there were no significant differences between the two groups regarding in either preperitoneal @CHEMICAL$ thickness (PFT) or subcutaneous fat thickness (@DISEASE$. false +XXPFY0_2QsFWqh1c_sqtUx3eTCQ Also, there were no significant differences between the two groups regarding in either preperitoneal fat thickness (PFT) or subcutaneous @CHEMICAL$ thickness (@DISEASE$. false +debiJ-hzfJvZfB-O0IypzJ6C_gg @CHEMICAL$ in the treatment of upper extremity @DISEASE$: A single-center experience and review of the literature. treats +698b06L4deAaZF-8NJVyu1lPWU4 Mice, in different states of satiety (fed/fasted, or @DISEASE$ and treated with ghrelin or leptin, respectively), were allowed to choose between @CHEMICAL$ and standard foods. false +2xmYliXx6VAvsQo15y64qKVfWEg Mice, in different states of satiety (fed/fasted, or @DISEASE$ and treated with @CHEMICAL$ or leptin, respectively), were allowed to choose between high-fat/high-sucrose and standard foods. false +2wQL8q_2n7l2G0M2HN1SmdC4LeY Mice, in different states of satiety (@DISEASE$, or fed/fasted and treated with @CHEMICAL$ or leptin, respectively), were allowed to choose between high-fat/high-sucrose and standard foods. false +eiRf8Pbc5N-eWvroskj4tskkQ9s Mice, in different states of satiety (fed/fasted, or @DISEASE$ and treated with ghrelin or @CHEMICAL$, respectively), were allowed to choose between high-fat/high-sucrose and standard foods. false +7nyVws-GLWLvplC3LmsH5cAYIUg Mice, in different states of satiety (@DISEASE$, or fed/fasted and treated with ghrelin or leptin, respectively), were allowed to choose between @CHEMICAL$ and standard foods. false +Fy3xmUQiFHoKTs6vtg6WUOqFu0M Mice, in different states of satiety (@DISEASE$, or fed/fasted and treated with ghrelin or @CHEMICAL$, respectively), were allowed to choose between high-fat/high-sucrose and standard foods. false +IpfuQgukdTZOK1fDTN9mz84JrDs Challenges in the @CHEMICAL$ diagnosis of endocervical @DISEASE$. false +Har4t6JMpbQbM1hZcPrRKvARF7o Challenges in the @CHEMICAL$ diagnosis of @DISEASE$ in situ. false +B7au50g4TkoaySrsokl9bXtZ6EY @CHEMICAL$ (a) (Lp(a)) is a risk factor for @DISEASE$ but its role in IRD with accompanying coronary artery disease (CAD) is still unclear. false +fozKKwBjPPaC6o1pITs7L2nIuBg @CHEMICAL$ (a) (Lp(a)) is a risk factor for atherosclerosis but its role in IRD with accompanying coronary artery disease (@DISEASE$) is still unclear. false +LLHUebvN5euWfh-QV9lDmCwi-nw @CHEMICAL$ (a) (Lp(a)) is a risk factor for atherosclerosis but its role in @DISEASE$ with accompanying coronary artery disease (CAD) is still unclear. false +03UvaCAiAyWBmFRYEkxi13a9RyU @CHEMICAL$ (a) (Lp(a)) is a risk factor for atherosclerosis but its role in IRD with accompanying @DISEASE$ (CAD) is still unclear. false +03vm-qo-J6b1klFpXF4dFnnG6j4 Identification of @CHEMICAL$ synthase α subunit as a new maternal factor capable of protecting zebrafish embryos from @DISEASE$. false +JsgCGAqWma5U0lBc859yR_gcI74 SAC promoted p38MAPK activity responsible for p53 @CHEMICAL$, its stabilization followed by nuclear translocation leading to induction in expression and oligomerization of @DISEASE$ protein. false +3HHYeF1E8KrSvCzhSTSBLRQHWvY SAC promoted p38MAPK activity responsible for p53 phosphorylation, its stabilization followed by nuclear translocation leading to induction in expression and oligomerization of @DISEASE$ @CHEMICAL$. false +CEC4lZWeZwK9_iSsTDfjN8Ws7zk Compounds 4a, 6b, 7a, 7b, 8b, and 9b showed maximum fall in the @DISEASE$ @CHEMICAL$ levels in streptozotocin-induced diabetic rats after 5-7 days of administration. false +PhIPl4CelVltPvpUGk5XJYbdwsw Seated @CHEMICAL$ infusion test in predicting subtype diagnosis of @DISEASE$. false +86Zm-DuUjurFndC8OSd0SZjnBGM Home telemonitoring for patients with cancer significantly increases registration of @DISEASE$ and prescriptions of @CHEMICAL$ in outpatient medical records. treats +h222TuoMSkKiwgNqfb05fqxp2ts Heat shock protein 90 (HSP90) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore @CHEMICAL$ show promise as potential treatments for @DISEASE$. treats +JDBfvDwOFNmrDp3--Kz1Duby8wk Heat shock protein 90 (HSP90) is an important chaperone in @DISEASE$, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated @CHEMICAL$ protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +uJuTDQMmhHukHKCaUaKNurPhDU8 Heat shock protein 90 (HSP90) is an important chaperone in @DISEASE$, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like @CHEMICAL$ fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +wB87ThJLhpIQdaNNKzGwE2jR8WY Heat shock protein 90 (@DISEASE$) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like @CHEMICAL$ fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +OwpwO49t61r-_uGp5euCioR78nA Heat shock @CHEMICAL$ 90 (HSP90) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic @DISEASE$ kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +BSVitOzReXctWRFmHsMLPnhxjW0 Heat shock @CHEMICAL$ 90 (@DISEASE$) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +Q0TAOhWnc-nrz0wFGkR_V43BCUE Heat shock protein 90 (HSP90) is an important chaperone in @DISEASE$, with relevant @CHEMICAL$ drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +oyp9yQDc0ROQdXWX8BXuAs8vUCY Heat shock protein 90 (@DISEASE$) is an important chaperone in lung adenocarcinoma, with relevant @CHEMICAL$ drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +PCJ4q8RM4Y9lfgHpJM2nG1WsJ2Q Heat shock @CHEMICAL$ 90 (HSP90) is an important chaperone in @DISEASE$, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +5xIfToti-yllttPGkHmurs1iLUs Heat shock protein 90 (HSP90) is an important chaperone in lung adenocarcinoma, with relevant @CHEMICAL$ drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic @DISEASE$ kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +cdk_PWtHsB4qXsIq_Zb7Ic6fPeY Heat shock protein 90 (@DISEASE$) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated @CHEMICAL$ protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +yer5zu6rH6WqO45oTCgk4P_sa9Y Heat shock protein 90 (HSP90) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like @CHEMICAL$ fused to anaplastic @DISEASE$ kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +etQpsSI8Tz5MKKzve4p9b1z-ngo Heat shock protein 90 (HSP90) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated @CHEMICAL$ protein4 fused to anaplastic @DISEASE$ kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. false +gc39KdP2HKoAHvgJFGgouFdvvPc Evaluation of @DISEASE$ regulation in dogs treated with ophthalmic preparations of @CHEMICAL$ versus diclofenac sodium. false +erzWenEG6UvKEz3mZ9BJegLN1AA Evaluation of @DISEASE$ regulation in dogs treated with ophthalmic preparations of prednisolone acetate versus @CHEMICAL$. false +MnZfQLqm5A0NUUdDcd0mn9F_hBw In vitro, @DISEASE$ increased CD44, CD133 and OCT4 expression as well as the CD44+CD133+ cell proportion, raised the sphere formation efficiency and enhanced @CHEMICAL$ resistance to 5‑FU in TFK‑1 and Huh‑28 cells. false +0yQcGXdWckmnG7--C7D3rdKAxYg We present a model which attempts to explain how, in the absence of cells in the primary stroma, collagen organisation might be influenced by cell-independent, @DISEASE$ mechanisms, such as fibril axial charge derived from associated @CHEMICAL$. false +GvhTC3tNWhjUh-ilRd0ULP315p4 We present a model which attempts to explain how, in the absence of cells in the primary stroma, @CHEMICAL$ organisation might be influenced by cell-independent, @DISEASE$ mechanisms, such as fibril axial charge derived from associated proteoglycans. false +Rv2CsqS0TOblO3zSigZk-VCwymI Further detailed functional assays of these genes would provide important insights to understand their role in the @CHEMICAL$ @DISEASE$ between Pieris butterflies and their Brassicales host plants. false +vm2llbGEmwBHa-Pjg1-lxse5ss0 We present a case of a 63-year-old man with a 3-year history of progressive pustular @DISEASE$ with inflammatory patches and central scarring alopecia on both forearms and a circumscribed patch on @CHEMICAL$ right lower leg. false +yuC6FhgGerBika0JDhEStA9S30k We present a case of a 63-year-old man with a 3-year history of progressive pustular folliculitis with inflammatory patches and central @DISEASE$ alopecia on both forearms and a circumscribed patch on @CHEMICAL$ right lower leg. false +WsqurMUsylA4Zw5p0uI8UhBv41g We present a case of a 63-year-old man with a 3-year history of progressive pustular folliculitis with inflammatory patches and central scarring @DISEASE$ on both forearms and a circumscribed patch on @CHEMICAL$ right lower leg. false +kHdFbDnmDYCHCOnk1aXM9C63t5w Though multiple genetic groups could be identified in phylogenetic trees (AnLuc, KarMa, RiPar virus 1, and Spanish @CHEMICAL$ 1 and 2), all the sequences from Portugal and Spain shared @DISEASE$ ancestry with other viral sequence obtained from samples collected over a large geographic coverage. false +WkBPoywqc0WujaqAasqc74VSWZE @CHEMICAL$ exhibits a much lower @DISEASE$ profile, with a significantly lower incidence of PN compared to BTZ. false +QUHiGy_CJ3e8HQbbIfj_9_33k_Q Our results indicate that STAT5A-dependent FABP5 expression plays a carcinogenic role in the tumorigenesis of @DISEASE$ cells via reprogramming intracellular @CHEMICAL$ acid metabolism, which establishes a new mechanism for the tumorigenesis of gastric cancer cells. false +SUcox5TdKCeBiW2jAu5SAjtVGWg Our results indicate that STAT5A-dependent FABP5 expression plays a carcinogenic role in the tumorigenesis of @DISEASE$ cells via reprogramming intracellular @CHEMICAL$ metabolism, which establishes a new mechanism for the tumorigenesis of gastric cancer cells. false +GX8NZH_UNNwxF6S9-CSeXJE9E34 Our results indicate that STAT5A-dependent FABP5 expression plays a carcinogenic role in the tumorigenesis of gastric cancer cells via reprogramming intracellular @CHEMICAL$ acid metabolism, which establishes a new mechanism for the tumorigenesis of @DISEASE$ cells. false +5O092CSAZIAEKOUPVw4r-wchtMc Our results indicate that STAT5A-dependent FABP5 expression plays a carcinogenic role in the tumorigenesis of gastric cancer cells via reprogramming intracellular @CHEMICAL$ metabolism, which establishes a new mechanism for the tumorigenesis of @DISEASE$ cells. false +uoeE8vTAvPYA-NBv_t_s0faKShw Inter-ion and @DISEASE$ isotope fractionations counteractively influenced the measured @CHEMICAL$ isotope ratios of individual dehalogenation product ions, whereas only the former could affect (enhance) the measured isotope ratios of molecular ions. false +Y9YvUPIBIj0Cngn_tJHbzTTAdu8 @DISEASE$ and intra-ion isotope fractionations counteractively influenced the measured chlorine/bromine isotope ratios of individual dehalogenation product @CHEMICAL$, whereas only the former could affect (enhance) the measured isotope ratios of molecular ions. false +r2XALWHr2ED4_RMDec6RJnxgVtE @DISEASE$ and intra-ion isotope fractionations counteractively influenced the measured chlorine/bromine isotope ratios of individual dehalogenation product ions, whereas only the former could affect (enhance) the measured isotope ratios of @CHEMICAL$. false +kKkiNEdbkHxmXqzUQXe1SlwWX9A @DISEASE$ and @CHEMICAL$ isotope fractionations counteractively influenced the measured chlorine/bromine isotope ratios of individual dehalogenation product ions, whereas only the former could affect (enhance) the measured isotope ratios of molecular ions. false +rv5TvYsVlVlhOQSXi9V8HgC5n18 Inter-ion and @DISEASE$ isotope fractionations counteractively influenced the measured chlorine/bromine isotope ratios of individual dehalogenation product @CHEMICAL$, whereas only the former could affect (enhance) the measured isotope ratios of molecular ions. false +z7nj1kUIBnsFR6gNQTFq8aXJ2to @DISEASE$ and intra-ion isotope fractionations counteractively influenced the measured @CHEMICAL$ isotope ratios of individual dehalogenation product ions, whereas only the former could affect (enhance) the measured isotope ratios of molecular ions. false +p4qn_GWRV3P4lSGWZg_QKPgmYFU @CHEMICAL$ and @DISEASE$ isotope fractionations counteractively influenced the measured chlorine/bromine isotope ratios of individual dehalogenation product ions, whereas only the former could affect (enhance) the measured isotope ratios of molecular ions. false +R3XKDHGdlIQ6aTrsoR1Wz8f9QuU Inter-ion and @DISEASE$ isotope fractionations counteractively influenced the measured chlorine/bromine isotope ratios of individual dehalogenation product ions, whereas only the former could affect (enhance) the measured isotope ratios of @CHEMICAL$. false +aXo7tVyk0fsP4iPmlCqZP3niWLg One in the control @CHEMICAL$ and nobody in the yoga group was diagnosed with @DISEASE$. false +J3HQ3GDhtQRjGYQwtIHOmjF43Cg One in the control group and nobody in the yoga @CHEMICAL$ was diagnosed with @DISEASE$. false +B4nXTmQWmluwun1DeOm9tiWRq3Y @CHEMICAL$ is effective in the treatment of children with @DISEASE$. false +VvL07TImZIVeDyTmo4yCKn1mRHY Comparison of @CHEMICAL$ effect, knee joint function recovery, and safety profiles between pre-operative and post-operative administrations of meloxicam in knee @DISEASE$ patients who underwent total knee arthroplasty. false +PkrHxBo6Olgpu6ePzCDiR7iAL9Q Comparison of analgesic effect, knee joint function recovery, and safety profiles between pre-operative and post-operative administrations of @CHEMICAL$ in knee @DISEASE$ patients who underwent total knee arthroplasty. false +IbHBO2pamf2KOQHUYphv1Jyuc-Y Particulate Matter 2.5 Mediates Cutaneous Cellular @DISEASE$ by Inducing Mitochondria-Associated Endoplasmic Reticulum Stress: Protective Effects of @CHEMICAL$. false +7XQ5knUi0Xb8pwMfFHcsJNsobAc After the DNBS challenge, mice treated with @CHEMICAL$ presented less severe @DISEASE$ compared with PBS and LL-empty-treated mice groups. false +gQ1RgpV3femDMvjGIUAVfdnvyZM @DISEASE$ virus envelope @CHEMICAL$ domain III induces pro-inflammatory signature and triggers activation of inflammasome. false +hnb-oPR3gGAEZ968X8YxH7d00IQ @DISEASE$ virus envelope protein domain III induces @CHEMICAL$ signature and triggers activation of inflammasome. false +351diQtqsLQRJISSZfixJkVIoWY Highly @DISEASE$ voltammetric immunosensor for the detection of prostate specific antigen based on silver nanoprobe assisted graphene @CHEMICAL$ modified screen printed carbon electrode. false +9zThT4sRKotOoBPzSzi54Dd4UJo Highly @DISEASE$ voltammetric immunosensor for the detection of prostate specific @CHEMICAL$ based on silver nanoprobe assisted graphene oxide modified screen printed carbon electrode. false +n_cokL0R1-eNPypN0t5RnX5ajGA Highly @DISEASE$ voltammetric immunosensor for the detection of prostate specific antigen based on silver nanoprobe assisted graphene oxide modified screen printed @CHEMICAL$ electrode. false +GIB7n_ASSTcIdJauwXDyWUgeUXo Highly @DISEASE$ voltammetric immunosensor for the detection of prostate specific antigen based on @CHEMICAL$ nanoprobe assisted graphene oxide modified screen printed carbon electrode. false +bZ5buHcMmdkhG8TN1ykIqZEhwLw Highly @DISEASE$ voltammetric immunosensor for the detection of prostate specific antigen based on silver nanoprobe assisted @CHEMICAL$ oxide modified screen printed carbon electrode. false +CH-pasiBmJv2d1r77hJpF20eeuE Salvianolic acid A & B: potential cytotoxic @CHEMICAL$ in battle against @DISEASE$ via targeting multiple signaling pathways. false +aFnCUWQouvqOPBT0ZewXOUL-Vl0 @CHEMICAL$ & B: potential cytotoxic polyphenols in battle against @DISEASE$ via targeting multiple signaling pathways. false +PhdMAGE9S5nXXdddXsPFyA0mrkQ silencing by promoter @CHEMICAL$ is widely reported in solid tumors as part of the complex regulation of the KEAP1/NRF2 axis, but its prognostic role remains to be addressed in @DISEASE$. false +aWKMmp3Nq6CVj7NAj2LqoCxFCMs In @DISEASE$ + BPA @CHEMICAL$ was observed a significant increase in both fat pad area (%) and in mean number of mammary epithelial cells positive for progesterone receptor (PR). false +SbAwVVH7Au8H4eG5u2InVzUO2Gg In LPD + BPA group was observed a significant increase in both fat @DISEASE$ area (%) and in mean number of mammary epithelial cells positive for @CHEMICAL$ receptor (PR). false +measBe1jFnGCt9XAEOchz9_1eRE In @DISEASE$ + BPA group was observed a significant increase in both fat pad area (%) and in mean number of mammary epithelial cells positive for @CHEMICAL$ receptor (PR). false +ErjMt383Da_go9HRGPbloMS7SFo In LPD + BPA group was observed a significant increase in both @CHEMICAL$ @DISEASE$ area (%) and in mean number of mammary epithelial cells positive for progesterone receptor (PR). false +oARD54PKWVzAGNmJCnbG4jmbRNk In @DISEASE$ + BPA group was observed a significant increase in both @CHEMICAL$ pad area (%) and in mean number of mammary epithelial cells positive for progesterone receptor (PR). false +mJV7rK_CiEgsqYmcjykZRfeAZqY In LPD + BPA @CHEMICAL$ was observed a significant increase in both fat @DISEASE$ area (%) and in mean number of mammary epithelial cells positive for progesterone receptor (PR). false +of-oF-tghFaWqtNyuyo8YYNikT0 Meanwhile, a mobile application was used to manage @DISEASE$ only for children in the experimental @CHEMICAL$. false +c_H3-5anBr-orCXehyvJBcZ4ZGw This study screened out the potential @CHEMICAL$ of the four targets in a high-efficiency and low-cost manner,and explained that Xixian Tongshuan Preparation showed an effect in the treatment of inflammatory responses caused by ischemic @DISEASE$ by acting both LOX pathway and COX pathway in the metabolic pathway. false +I_Qy-LX2lGPt4QkEwzQwIgIIlfY These results suggest @DISEASE$ differences in MOR expression related to @CHEMICAL$ consumption levels. false +J8SC1JdphIrjzE-jlRaf-Z3E7Cc This effort prioritises patient perspectives on suffering and healing to counter the trend of symptom-based interviews which assume @CHEMICAL$ determined models of mental @DISEASE$. false +OY2V57HOsmBZGbD6Umm4p91sWNY Thus, we assessed the combined therapeutic effects of PLP and DOX on melanoma cell proliferation and apoptosis, as well as on supportive processes for @DISEASE$ growth, such as @CHEMICAL$ stress as well as the angiogenic and inflammatory capacity of the cell co‑culture. false +ixFtcSZL8mCw0dEhXNQ2T2guk_U Thus, we assessed the combined therapeutic effects of PLP and DOX on @DISEASE$ cell proliferation and apoptosis, as well as on supportive processes for tumor growth, such as @CHEMICAL$ stress as well as the angiogenic and inflammatory capacity of the cell co‑culture. false +hivByMuq0oYgx3HE20KEIsqaBcM The primary objective of the ABandoning @DISEASE$ hyst in cerviX cancer (ABRAX) trial is to determine whether the completion of the cervical procedure (ie, @CHEMICAL$ hysterectomy) improves oncological outcome in patients with intraoperatively detected lymph node involvement before they are referred for definitive chemoradiation. false +mQOuSod6a2FHR3M6vhX6oxbsuts The primary objective of the ABandoning RAd hyst in @DISEASE$ (ABRAX) trial is to determine whether the completion of the cervical procedure (ie, @CHEMICAL$ hysterectomy) improves oncological outcome in patients with intraoperatively detected lymph node involvement before they are referred for definitive chemoradiation. false +h5LnqFjtr6YLTwlrk7de5bnBZl4 The left- and right-handed helical conformations were induced in poly-1-based @DISEASE$ upon coordination with a catalytic amount of soluble sodium and cesium @CHEMICAL$ (MBArF), respectively, which are soluble in the HPLC conditions [hexane-2-propanol (95:5, v/v)]. false +-2Aa_VsNcrEaudtvXcN9Wi2wKEk The left- and right-handed helical conformations were induced in poly-1-based @DISEASE$ upon coordination with a catalytic amount of soluble @CHEMICAL$ and cesium tetrakis[3,5-bis(trifluoromethyl)phenyl]borate salts (MBArF), respectively, which are soluble in the HPLC conditions [hexane-2-propanol (95:5, v/v)]. false +PFCF_5leldyPk4QI79sBLVLDsgo The left- and right-handed helical conformations were induced in poly-1-based @DISEASE$ upon coordination with a catalytic amount of soluble sodium and cesium tetrakis[3,5-bis(trifluoromethyl)phenyl]borate salts (MBArF), respectively, which are soluble in the HPLC conditions @CHEMICAL$ (95:5, v/v)]. false +JuJs9TFtaQsF7mYUiWGdb1RqtrE The left- and right-handed helical conformations were induced in poly-1-based @DISEASE$ upon coordination with a catalytic amount of soluble sodium and cesium @CHEMICAL$ salts (MBArF), respectively, which are soluble in the HPLC conditions [hexane-2-propanol (95:5, v/v)]. false +C_H13xT8F6o_iR_-meATQGB_MYM @CHEMICAL$ and @DISEASE$: a systematic review and meta-analysis of observational studies. false +bHJ1fVsY5Z5t2DiMTiL5lTEsEek Compared to the clinically used neuraminidase @CHEMICAL$, these two compounds showed better activity profiles against drug-resistant @DISEASE$ strains, as well as influenza B, and improved survival of influenza-infected mice. false +8jgk5WOki0X-gpYPZaTbqUTDow4 Compared to the clinically used neuraminidase @CHEMICAL$, these two compounds showed better activity profiles against drug-resistant influenza A strains, as well as influenza B, and improved survival of @DISEASE$ mice. false +UYXU53fLKqKqk7kzCZZFuHBAzMk Compared to the clinically used neuraminidase inhibitors, these two compounds showed better activity profiles against @CHEMICAL$ influenza A strains, as well as @DISEASE$ B, and improved survival of influenza-infected mice. false +RWo9OUCcVkvJfcWpWdlmjKn2Qd0 Compared to the clinically used neuraminidase inhibitors, these two compounds showed better activity profiles against @CHEMICAL$ @DISEASE$ strains, as well as influenza B, and improved survival of influenza-infected mice. false +2_MbLl2AqsKqSdoSputQqINcJ7Q Compared to the clinically used neuraminidase inhibitors, these two compounds showed better activity profiles against @CHEMICAL$ influenza A strains, as well as influenza B, and improved survival of @DISEASE$ mice. false +x6IMS3yuvFszrXkydQlEDtz-gNg Compared to the clinically used neuraminidase @CHEMICAL$, these two compounds showed better activity profiles against drug-resistant influenza A strains, as well as @DISEASE$ B, and improved survival of influenza-infected mice. false +4kgZsg4WTIjDaf9YV7rCb-K23PM @CHEMICAL$ as a basis for computer-aided drug design: innovative approaches to tackle @DISEASE$. false +aD8rp-lPqJHbc50EzvLosANhM60 Chalcones as a basis for computer-aided @CHEMICAL$ design: innovative approaches to tackle @DISEASE$. false +ZF3WdObegkEBlBJMx7ocNLjfNZs MMP-2 and MMP-9 plasma levels are potential @CHEMICAL$ for indeterminate and cardiac clinical forms progression in chronic @DISEASE$. false +RlAG6T8bBgrgGBlMgVzYEFjU6NY The RT-PCR and Western blotting showed increased mRNA and @CHEMICAL$ expression of TNF-α, TGF-β as well as CTGF in the retina of rabbits following penetrating ocular @DISEASE$, and these factors were dramatically mitigated by ocular etanercept treatment. false +uvXUwUnCP1lIkhLGxmrWYgVpznI The RT-PCR and Western blotting showed increased @CHEMICAL$ and protein expression of TNF-α, TGF-β as well as CTGF in the retina of rabbits following penetrating ocular @DISEASE$, and these factors were dramatically mitigated by ocular etanercept treatment. false +6GCGRemKjWNrAZL2Bv9278KCUSc Short-term @CHEMICAL$ for treatment of chronic @DISEASE$; a prospective study. false +k8H_XfjAGAs6rn9TqI9PFqiethw Female-Specific Effects of @CHEMICAL$ Suggest Limited Efficacy of New @DISEASE$ Treatments in Males. false +Fj3WgUGccqERLvRi--FuXVON3MU Novel secretome-to-transcriptome integrated or secreto-transcriptomic approach to reveal liquid biopsy @CHEMICAL$ for predicting individualized prognosis of @DISEASE$ patients. false +jelBVGidEPruNPiJJa4JzvWo0Ug Brockbank J, Astudillo CL, Che D, Tanphaichitr A, Huang G, Tomko J, Simakajornboon N. Supplemental @CHEMICAL$ for treatment of infants with @DISEASE$. false +1h6Ek3YRgK47lyn0Y2WNfRkJQY4 Comparison of our EC-TRAP with published single-cell @CHEMICAL$ sequencing data further demonstrates considerably greater @DISEASE$ of EC-TRAP for the detection of low abundant transcripts. false +zT-yjzQQ9LzhPEw1oEIHo_yAyaA Supramolecular Nanorods of (N-Methylpyridyl) @CHEMICAL$ With Captisol: Effective Photosensitizer for Anti-bacterial and @DISEASE$ Activities. false +ideZCO7rQ2k9eJPC3Zr2igtTCcw Supramolecular @CHEMICAL$ of (N-Methylpyridyl) Porphyrin With Captisol: Effective Photosensitizer for Anti-bacterial and @DISEASE$ Activities. false +rRN5X7vu1g07GZIafXdy5Um2wEw These results shed light on a novel treatment for conventional @CHEMICAL$ chemotherapy for @DISEASE$. false +rpSOud5zD-XDTMLf8iK-Ul5JqF4 To investigate the association of retinal @CHEMICAL$ with the choroidal parameters in @DISEASE$ (RP). false +qm5yiIQNKXZ2a3lwuJOwMs1QErs To investigate the association of @CHEMICAL$ biomarkers with the choroidal parameters in @DISEASE$ (RP). false +3N13B83KK3Mv5OF_9396DYDlzoE As essential components, non-coding RNAs (ncRNAs) are selectively enriched in exosomes, and exosomal ncRNAs participate in regulating specific aspects of tumor development, including tumorigenesis, @DISEASE$ metastasis, angiogenesis, immunomodulation and @CHEMICAL$ resistance. false +r_0syj8Nle8I2EeRAu9p6O749qk As essential components, non-coding RNAs (ncRNAs) are selectively enriched in exosomes, and exosomal ncRNAs participate in regulating specific aspects of @DISEASE$ development, including tumorigenesis, tumor metastasis, angiogenesis, @CHEMICAL$ and drug resistance. false +k-mTVYM5XB9ysZs34XpHLT6Egco As essential components, non-coding RNAs (ncRNAs) are selectively enriched in exosomes, and exosomal ncRNAs participate in regulating specific aspects of @DISEASE$ development, including tumorigenesis, tumor metastasis, angiogenesis, immunomodulation and @CHEMICAL$ resistance. false +D09JD_XzQLsRipr8NcLQoWwm2Fs As essential components, non-coding RNAs (ncRNAs) are selectively enriched in exosomes, and exosomal ncRNAs participate in regulating specific aspects of tumor development, including tumorigenesis, @DISEASE$ metastasis, angiogenesis, @CHEMICAL$ and drug resistance. false +kmNkcClsU6B2I4CdUSxBo5KYS3c Gemtuzumab ozogamicin (Mylotarg; Pfizer, New York, NY) was the first @CHEMICAL$ conjugate to be approved for CD33-positive @DISEASE$ (AML). false +g6iBKDZtJAhDaZzu5bOKblkh6z4 Gemtuzumab ozogamicin (Mylotarg; Pfizer, New York, NY) was the first @CHEMICAL$ conjugate to be approved for CD33-positive acute myeloid leukemia (@DISEASE$. false +TJfOG_keCshI40-r-s3-qf1anWw Systematic Review and Meta-analysis Comparing Topical @CHEMICAL$ With Vehicle/Moisturizer in Childhood @DISEASE$. false +a7sfFt1Zb1CeDEYFAcIfX1iTE9g CONCLUSIONS Our preliminary findings indicated that miR-27a-3p @CHEMICAL$ protected against @DISEASE$ inflammatory response and hippocampal neuronal apoptosis by targeting MAP2K4. false +Rgj1a1MtX8A40aTybabX-0cAgso CONCLUSIONS Our preliminary findings indicated that miR-27a-3p @CHEMICAL$ protected against epilepsy-induced inflammatory response and hippocampal neuronal apoptosis by targeting @DISEASE$. false +fs0V-SHV4yyPUDyGPLOBx9ikNVQ Candida albicans, as the most common fungal infection pathogen, causes @DISEASE$ via developing its @CHEMICAL$. false +1DoYZlbf_mitgHRggGLHLwqyNvE Candida albicans, as the most @DISEASE$ fungal infection pathogen, causes candidiasis via developing its @CHEMICAL$. false +sZpoLHrIUpMdwz8OWc81cV-MdQc Candida albicans, as the most common fungal @DISEASE$ pathogen, causes candidiasis via developing its @CHEMICAL$. false +IeQrNLm48EsqrClKfl66x71JgL0 Clinical characteristics and outcomes of candidates for second-line therapy, including @CHEMICAL$ and ramucirumab, for advanced @DISEASE$ after sorafenib treatment. false +IJaFBLCo71YLdWX0gpH07IONIqo Clinical characteristics and outcomes of candidates for second-line therapy, including regorafenib and ramucirumab, for advanced @DISEASE$ after @CHEMICAL$ treatment. false +Vw3RmSZk8-4GzWpgJdid3uxhycI The importance of regular exercise for @CHEMICAL$ management in individuals with @DISEASE$ is magnified by its acknowledgment as a key adjunct to insulin therapy by several governmental, charitable, and healthcare organisations. false +HO1e6j3k020dqAJldbcjXfA41hQ Quantitative measurement of regional cerebral @DISEASE$ flow and @CHEMICAL$ metabolism in a rat model of cerebral hypoperfusion. false +o1Db_6zfTuuThxH7avrTYo7y6nA Compared to the healthy control group, the @DISEASE$ @CHEMICAL$ showed decreased ReHo values in the right angular gyrus. false +ke01oGKtLM9sHZ84jz87Q8-8TDQ Compared to the healthy control @CHEMICAL$, the @DISEASE$ group showed decreased ReHo values in the right angular gyrus. false +x6PkDMypDeOD23Ik5_VULcjAJIU This study aimed to assess the expression of these cytokines in de novo @DISEASE$ and investigate their role as @CHEMICAL$. false +ajciTUkH8pnrKubv-Xu4OV4z9vM Additionally, the docking study was done to @DISEASE$ the binding mode of the synthesized compounds with the binding site of the DHFR @CHEMICAL$. false +_ZsM5VvCKvIZ89he8kD57wqMMfA Initially, @DISEASE$ with @CHEMICAL$ antibodies was considered. false +0_DSaoU3EJqRA28RTR_qDm-X7OU Targeting Brain Disease in @DISEASE$: Preclinical Evaluation of IDS-Loaded PLGA @CHEMICAL$. false +CXVJUrTUAuaZea6CnOkHJ9RFDpI Targeting @DISEASE$ in MPSII: Preclinical Evaluation of IDS-Loaded PLGA @CHEMICAL$. false +Wlr3KGgLRtxVHq0aoA4jm1vMVCM Our data provided new insights into epigenetic and transcriptomic alterations of intestinal epithelial cells upon @DISEASE$ exposure and may advance the identification of biomarkers and drug targets for predicting and controlling the toxic effects of this common @CHEMICAL$. false +yOKmuHOpBif7fcJ3tI78rlUZZ24 Our data provided new insights into epigenetic and transcriptomic alterations of intestinal epithelial cells upon @DISEASE$ exposure and may advance the identification of @CHEMICAL$ and drug targets for predicting and controlling the toxic effects of this common mycotoxin. false +BC0AqDE_gCX0F_aV3F--q92MhRo Our data provided new insights into epigenetic and transcriptomic alterations of intestinal epithelial cells upon @DISEASE$ exposure and may advance the identification of biomarkers and @CHEMICAL$ targets for predicting and controlling the toxic effects of this common mycotoxin. false +WPNxrHLdROg0Lcgqs-jGjqrTDtI Our data provided new insights into epigenetic and transcriptomic alterations of intestinal epithelial cells upon DON exposure and may advance the identification of @CHEMICAL$ and drug targets for predicting and controlling the toxic effects of this @DISEASE$ mycotoxin. false +qZf9n6Ma8y8nlUMZIZaZTdLhaVk Our data provided new insights into epigenetic and transcriptomic alterations of intestinal epithelial cells upon DON exposure and may advance the identification of biomarkers and @CHEMICAL$ targets for predicting and controlling the toxic effects of this @DISEASE$ mycotoxin. false +XI1EVGNAC0XMa8YwrK7l40BaQPM Our data provided new insights into epigenetic and transcriptomic alterations of intestinal epithelial cells upon DON exposure and may advance the identification of biomarkers and drug targets for predicting and controlling the toxic effects of this @DISEASE$ @CHEMICAL$. false +g96Hctv5nrmiO9UWHwsD4DBloiE We aimed to estimate the effect of dose of flupentixol @CHEMICAL$ on relapse rates in @DISEASE$ and on tolerability by expanding on an earlier review and including non-RCT and German-language studies, as well as using pharmacokinetic and pharmacodynamic data to offer guidance on dosing. false +AD51uzzfQI7drhM_TqayNhpz6rA Despite high-intensity treatment, SP-EPN-MYCN showed significantly worse median progression free survival (PFS) (17 months) and median overall survival (OS) (87 months) than all other previously described @CHEMICAL$ spinal @DISEASE$ subgroups. false +e60gNlRAIVpU7StlRuvabh9ZTVM Despite high-intensity treatment, @CHEMICAL$ showed significantly worse median progression free survival (PFS) (17 months) and median overall survival (OS) (87 months) than all other previously described molecular spinal @DISEASE$ subgroups. false +gNGFsiHN2CpiJUTTQRsmZB0REoM Three parent @CHEMICAL$ and their corresponding intermediates (epitetracycline, anhydrotetracycline, epianhydrotetracycline, epioxytetracycline, epichlortetracycline, and demethylchlortetracycline) were respectively determined and named as TTCs, @DISEASE$ and CTCs. false +uUdZMiy_VUt-mO-ltXwBi3U9-n4 Three parent tetracyclines and their corresponding intermediates (epitetracycline, @CHEMICAL$, epianhydrotetracycline, epioxytetracycline, epichlortetracycline, and demethylchlortetracycline) were respectively determined and named as TTCs, @DISEASE$ and CTCs. false +a8GhCPSQGMewLCHWP5_v7yaAiQM Tofacitinib is a new @CHEMICAL$ inhibitor of the JAK/STAT signaling pathway used to treat @DISEASE$. false +_gILFRtjCHT9UcAA66-IHEb4_H8 Tofacitinib is a new small-molecule @CHEMICAL$ of the JAK/STAT signaling pathway used to treat @DISEASE$. false +ttfLI8THWYH4l-3rTjNEZcxpkPo @CHEMICAL$ is a new small-molecule inhibitor of the JAK/STAT signaling pathway used to treat @DISEASE$. false +-7cTWsQC24mYpbWVuum4kPMNVmU The dipeptidyl peptidase-4 @CHEMICAL$ saxagliptin is a widely used antihyperglycemic agent in patients with @DISEASE$. false +8D2eVLK3jT5DNASv4NqsnLLvXzs The dipeptidyl peptidase-4 inhibitor @CHEMICAL$ is a widely used antihyperglycemic agent in patients with @DISEASE$. false +_7nHul_c1kgrzBcdfp_GJL2hruI The levels of clinical symptoms, self-esteem, resilience, social support, and quality of life, as well as personality traits, were assessed (by Patient Health Questionnaire-9, generalized anxiety @DISEASE$, State-Trait Anxiety Inventory-S, Resilience Appraisal Scale, Rosenberg Self-Esteem Scale, Quality of Life, and @CHEMICAL$ inventory (NEO-PI)). false +FumYCvlCawi6CZ0OpWjt0dNSgSE The levels of clinical symptoms, self-esteem, resilience, social support, and quality of life, as well as personality traits, were assessed (by Patient Health Questionnaire-9, generalized anxiety disease-7, State-Trait @DISEASE$ Inventory-S, Resilience Appraisal Scale, Rosenberg Self-Esteem Scale, Quality of Life, and @CHEMICAL$ inventory (NEO-PI)). false +iuFtlGkGMMvc_nFQgG-1XttTd-M The levels of clinical symptoms, self-esteem, resilience, social support, and quality of life, as well as personality traits, were assessed (by Patient Health Questionnaire-9, generalized anxiety disease-7, State-Trait @DISEASE$ Inventory-S, Resilience Appraisal Scale, Rosenberg Self-Esteem Scale, Quality of Life, and NEO-personality inventory (@CHEMICAL$). false +9eK7QMdU2bAzC5dMSYEDBJ8IeSw The levels of clinical symptoms, self-esteem, resilience, social support, and quality of life, as well as personality traits, were assessed (by Patient Health Questionnaire-9, generalized @DISEASE$ disease-7, State-Trait Anxiety Inventory-S, Resilience Appraisal Scale, Rosenberg Self-Esteem Scale, Quality of Life, and NEO-personality inventory (@CHEMICAL$). false +7wRIcj9xfkcrP_zm2WakKzpGh4Y The levels of clinical symptoms, self-esteem, resilience, social support, and quality of life, as well as personality traits, were assessed (by Patient Health Questionnaire-9, generalized @DISEASE$ disease-7, State-Trait Anxiety Inventory-S, Resilience Appraisal Scale, Rosenberg Self-Esteem Scale, Quality of Life, and @CHEMICAL$ inventory (NEO-PI)). false +bOj8M_VX6Bx9ebg9aODLhbXuj3c The levels of clinical symptoms, self-esteem, resilience, social support, and quality of life, as well as personality traits, were assessed (by Patient Health Questionnaire-9, generalized anxiety @DISEASE$, State-Trait Anxiety Inventory-S, Resilience Appraisal Scale, Rosenberg Self-Esteem Scale, Quality of Life, and NEO-personality inventory (@CHEMICAL$). false +7SMJ0tmr5bs10gXqmBJiXfMbP0s This computational approach holds great potential in the target identification of herbs, understanding the @CHEMICAL$ mechanisms of @DISEASE$, and designing novel herbal formulas. false +y7__g2Ji76G1FNkajhr0koLQ4KU We aimed to assess the prevalence of patatin-like phospholipase domain-containing 3 @CHEMICAL$ (PNPLA3) gene rs738409 C > G polymorphism in Brazilian individuals with @DISEASE$ and to investigate its association with liver disease severity, diabetic chronic degenerative complications, and metabolic control. false +cLtGAZcWi93fvRlmjGiy7nmtjPk We aimed to assess the prevalence of patatin-like phospholipase domain-containing 3 @CHEMICAL$ (PNPLA3) gene rs738409 C > G polymorphism in Brazilian individuals with type 2 diabetes and to investigate its association with @DISEASE$ severity, diabetic chronic degenerative complications, and metabolic control. false +bciOwCf7V9_eq3VeGl_5GnbzpiU Therefore, these results provide experimental information for developing @CHEMICAL$ as a new therapeutic drug against EBV-positive @DISEASE$. false +irhYcQO0BO1fDWRb8jfpqNxv3vU Therefore, these results provide experimental information for developing AMP as a new therapeutic @CHEMICAL$ against EBV-positive @DISEASE$. false +-m58iQ0dBKEO3svd_yA--P66t9M This study is aimed to test the hypothesis that the patients who perform the high-intensity interval exercise training (HIIT) during @CHEMICAL$ therapy would show improvements in low-grade inflammation and @DISEASE$ compared to the controls receiving standard care. false +Jjg3cjtLCZqo8rNbu18ZBn-H_CE This study is aimed to test the hypothesis that the patients who perform the high-intensity interval exercise training (HIIT) during @CHEMICAL$ therapy would show improvements in @DISEASE$ inflammation and HSP70 compared to the controls receiving standard care. false +ET78td1GIOqzcd4znGKGScLE31M @DISEASE$ expression was critical for S-phase progression and maintenance of H3 @CHEMICAL$ 9 acetylation at proliferation-associated genes, including histone genes. false +BlkuGKhbuu1s2rKX_3391I0djNA @DISEASE$ expression was critical for S-phase progression and maintenance of H3 lysine 9 @CHEMICAL$ at proliferation-associated genes, including histone genes. false +nGEvqSrfs5XsQKgIKv0TW2hbhmo @DISEASE$ expression was critical for S-phase progression and maintenance of H3 lysine 9 acetylation at proliferation-associated genes, including @CHEMICAL$ genes. false +l8NqFFz0hylzI026BUjhEGQdIko Together, these results are encouraging for the exploration of @CHEMICAL$ with similar structure to brevilin A as potential @DISEASE$ therapies. false +4L63MgGy4sK-r_NkJA7YXwDJyO0 Meta-analysis of five studies, including the three with @CHEMICAL$, showed that rs6295 was associated with improvement in positive (p = 0.023) and negative (p ≤ 0.0001) symptoms in EUR patients with @DISEASE$. false +5wyjyFqywFYRDUbSQahecsdTUao The present study focuses on @CHEMICAL$ extraction from biological samples (@DISEASE$, saliva, sperm) mixed with 3 different types of soils (loam, silt, sandy), using a modified version of the Manufacturer standard protocol. false +wN3RZztEmpDoRwbg3i0W7iByEK8 The present study focuses on DNA extraction from @CHEMICAL$ samples (@DISEASE$, saliva, sperm) mixed with 3 different types of soils (loam, silt, sandy), using a modified version of the Manufacturer standard protocol. false +8t2FLgvHgbCXq_2tNsQaV2cr74E Although various @CHEMICAL$ are reportedly used in thermal burn for understanding the pathophysiology of the @DISEASE$, however their limitations prompt for search of suitable markers that can address depth and severity of the burn. false +acG5_JnlzbDmUmgH_1JyiWXnBMA Although various @CHEMICAL$ are reportedly used in thermal burn for understanding the pathophysiology of the injury, however their limitations prompt for search of suitable markers that can address depth and severity of the @DISEASE$. false +2qrL-dcqLIdMrPErKxid5XkKP7I Although various @CHEMICAL$ are reportedly used in thermal @DISEASE$ for understanding the pathophysiology of the injury, however their limitations prompt for search of suitable markers that can address depth and severity of the burn. false +o7a4TVqtO89sRxUzsERjwuqu6HI Papillary @CHEMICAL$ carcinoma is the most @DISEASE$ endocrine malignancy. false +UsR7c064gC0x1fmFAcNk1L2DAQs Papillary @CHEMICAL$ carcinoma is the most common endocrine @DISEASE$. false +YDHUALYT6upm5YD7pqMmlNQauyQ Intraperitoneal administration of CHR-6494 significantly inhibited @DISEASE$ development and recovered body weight in @CHEMICAL$ mice. false +aD1mgS9LWK3s1flucbZNMDwj03c our model analysis identified a complex interplay between phenotypic diversity that may provide a @DISEASE$ adaptation mechanism to overcome proliferation limiting conditions, allowing for dynamic shifts in phenotypic populations in response to variation in @CHEMICAL$ signaling intensity. false +03MArYjPK9p5TOA9n7Hu6PHuchk @DISEASE$ isethionate sulfo-lyase IseG, recently identified in sulfate- and @CHEMICAL$ bacteria. false +Jn53mgyDsZyEgCxCSBdHupZvXBA @DISEASE$ isethionate @CHEMICAL$ IseG, recently identified in sulfate- and sulfite-reducing bacteria. false +P7JpoSJnuKpebI50y9WMIvTDv8g @DISEASE$ @CHEMICAL$ sulfo-lyase IseG, recently identified in sulfate- and sulfite-reducing bacteria. false +Atl6QkdSpZ8RHtcJjUlICCInqFE @DISEASE$ isethionate sulfo-lyase IseG, recently identified in @CHEMICAL$ and sulfite-reducing bacteria. false +yzQJrWWHKxGciYNBIOJ9gXquI2g @CHEMICAL$ cancer has been rapidly increasing in prevalence among humans in last 2 decades and is the most prevalent endocrine @DISEASE$. false +WVkAjoNvStnmlwCKohAp_lDok_E In an experiment, respondents were asked to assess their @CHEMICAL$ waste using some or all of these methods depending on @DISEASE$. false +Gf8xFGP737_JIyMEAGCAGb-DebM Finally, the mice were @DISEASE$ only acorns in a 5-day feeding experiment to assess their tolerance to @CHEMICAL$ in the diet. false +a2tTwSyL8-j5x062_O2yB0BQRj4 Recently, sodium-glucose co-transporter-2 @CHEMICAL$ were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for @DISEASE$ in people with Type 2 diabetes mellitus and either cardiovascular risk factors or atherosclerotic cardiovascular disease. false +W3y9qPKV2DYezfQnxBrc1A-WBJ4 Recently, sodium-glucose co-transporter-2 inhibitors were shown to @CHEMICAL$ to a reduction in the risk of cardiovascular death and hospitalization for @DISEASE$ in people with Type 2 diabetes mellitus and either cardiovascular risk factors or atherosclerotic cardiovascular disease. false +JLo10WdTBiwbBkP0REg1teMbuYw Recently, @CHEMICAL$ co-transporter-2 inhibitors were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with @DISEASE$ and either cardiovascular risk factors or atherosclerotic cardiovascular disease. false +iFMAVfHUnm_gmVehI4c81LG2pZE Recently, sodium-glucose co-transporter-2 @CHEMICAL$ were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with @DISEASE$ and either cardiovascular risk factors or atherosclerotic cardiovascular disease. false +j0_r-Ay-1F4mc4_cTqaJMH3saUo Recently, sodium-glucose co-transporter-2 inhibitors were shown to @CHEMICAL$ to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with Type 2 diabetes mellitus and either cardiovascular risk factors or @DISEASE$. false +fGwNUYMgrWBEq3G7AEUb5bW6njQ Recently, sodium-glucose co-transporter-2 @CHEMICAL$ were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with Type 2 diabetes mellitus and either cardiovascular risk factors or @DISEASE$. false +ucJZDC07p-7qz976CpzuxvyqaEc Recently, @CHEMICAL$ co-transporter-2 inhibitors were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for @DISEASE$ in people with Type 2 diabetes mellitus and either cardiovascular risk factors or atherosclerotic cardiovascular disease. false +7pMmUp02J7HUankBqSk17n7Uy4I Recently, @CHEMICAL$ co-transporter-2 inhibitors were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with Type 2 diabetes mellitus and either cardiovascular risk factors or @DISEASE$. false +XN-f7yXBUTX2G5wETucgAWVD4W8 Recently, sodium-glucose co-transporter-2 inhibitors were shown to @CHEMICAL$ to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with @DISEASE$ and either cardiovascular risk factors or atherosclerotic cardiovascular disease. false +Wt4aXa-li0I0oPGijrJVmWaDR7U @DISEASE$ may @CHEMICAL$ to chronic, debilitating symptoms, and severe complications. false +DvQ2oDdYgDnQHFxyeBUvgfuDCJg In addition, the corresponding @DISEASE$ activities of these three @CHEMICAL$ topoisomerases were tested in vitro at both temperatures. false +MBKuwzzYn1kZK0HU0rxJuqAR9XI HO-1 promotes resistance to an EZH2 @CHEMICAL$ through the pRB-E2F pathway: correlation with the progression of myelodysplastic syndrome into @DISEASE$. false +jSoN_yRG4EKzf4gtEHVsTBAeukk HO-1 promotes resistance to an EZH2 @CHEMICAL$ through the pRB-E2F pathway: correlation with the progression of @DISEASE$ into acute myeloid leukemia. false +YeQNF1-GpCLuaOehlFfTH2-wreo Preoperative @CHEMICAL$ level combined with liver resection, resection margin, vascular invasion and perineural invasion, lymph node metastasis and TNM stage were found to be correlated with OS and @DISEASE$ recurrence. false +BZDlu72FCkXBQy3bz5n70_KVqnw Most published treatment trials for @CHEMICAL$ use @DISEASE$ (CUD) have been conducted with samples composed predominantly of White men and underrepresent women and racial/ethnic minorities. false +YTGxxQLeAA9MW1qJhDnKw9-Zcyo Most published treatment trials for @CHEMICAL$ use disorders (CUD) have been conducted with samples composed predominantly of White @DISEASE$ and underrepresent women and racial/ethnic minorities. false +kjs2jVbbszn1j4O-kxY1BbLEpMM Most published treatment trials for @CHEMICAL$ use disorders (@DISEASE$ have been conducted with samples composed predominantly of White men and underrepresent women and racial/ethnic minorities. false +dbpOurh79m_hU9dMPncGKCG4ipA A total of 14 patients without @DISEASE$, normal or slight microcytosis and hypochromia (medium concentration @CHEMICAL$ [MCH] <27 pg) were studied. false +IvTQywDw2sKKLME6pdWZfvvOxD8 Receiver operating characteristic curve revealed that a cut-off value of @CHEMICAL$ of 9.10 μg/ml in the first trimester was associated with a @DISEASE$ of 100% and specificity of 95.6% in predicting GDM. false +XN7eCMTlCjCxJ87obh0GsNjgt3w Receiver operating characteristic curve revealed that a cut-off value of @CHEMICAL$ of 9.10 μg/ml in the first trimester was associated with a sensitivity of 100% and specificity of 95.6% in predicting @DISEASE$ false +LMuUvJO7TvP5LSJt0OZ-pygXVak RORγ @CHEMICAL$ cause @DISEASE$ regression in patient-derived xenografts and immune-intact models. false +UiaVgNOHNlrAUA5MSwz8E9m6RSA Pretreatment characterization of urinary @CHEMICAL$ can provide insight into early RCC progression and may aid clinical decision-making and improve @DISEASE$ management. false +TcOecrjMpGR1kfuxN9ktk6rw8BI Pretreatment characterization of urinary @CHEMICAL$ can provide insight into early @DISEASE$ progression and may aid clinical decision-making and improve disease management. false +RqwHuuXT5zRKT_p-nfxQuuHyTP4 This, in turn, designates the maximum likelihood for @CHEMICAL$ droplets to be captured in the boundary layer developing over the beetle and subsequently @DISEASE$ the surface where they get captured. false +Zg17cS7xszdFvJSu7TV2aVDwYbA This, in turn, designates the maximum likelihood for @CHEMICAL$ droplets to be captured in the boundary layer developing over the beetle and subsequently hit the surface where they @DISEASE$ captured. false +ccikqjyBW2XqpeLk5_QI3bSRG50 On univariate analysis sexual function showed a correlation with marital satisfaction (r = .34, P < .001), dose of @CHEMICAL$r = -.26, P = .008), @DISEASE$ activity (r = -.21, P = .027), depression (r = -.19, P = .039) and anxiety (r = -.201, P = .034). false +1mNpt1GM2aEKYlxkq0ZQj3tFE5Q On univariate analysis sexual function showed a correlation with marital satisfaction (r = .34, P < .001), dose of @CHEMICAL$r = -.26, P = .008), disease activity (r = -.21, P = .027), depression (r = -.19, P = .039) and @DISEASE$ (r = -.201, P = .034). false +vJ--ltMBwTsT--0hR5Ok-J7oIIQ On univariate analysis sexual function showed a correlation with marital satisfaction (r = .34, P < .001), dose of @CHEMICAL$r = -.26, P = .008), disease activity (r = -.21, P = .027), @DISEASE$ (r = -.19, P = .039) and anxiety (r = -.201, P = .034). false +328IcWWBGXQCyRjDWNMfgyTwFVY Proteogenomic studies of @DISEASE$ samples have shown that copy-number variation can be attenuated at the protein level for a large fraction of the proteome, likely due to the degradation of unassembled @CHEMICAL$ complex subunits. false +vfpOL1NYqY-irOAvzurIrol03CU Proteogenomic studies of @DISEASE$ samples have shown that copy-number variation can be attenuated at the @CHEMICAL$ level for a large fraction of the proteome, likely due to the degradation of unassembled protein complex subunits. false +3w5VBgsUvITHj0vnlfemmkjBDEo No previous meta-analyses have compared the efficacy and safety of BPA with @CHEMICAL$ therapy in inoperable @DISEASE$ patients. false +MiW8Kd19rJ9fpDiGFWYtl8GdMqY MicroRNA-126: a promising @CHEMICAL$ for angiogenesis of diabetic wounds treated with negative pressure @DISEASE$ therapy. false +Hcon7DYmm2Z8MSBqRWFlscCx3-U @CHEMICAL$ antibody prevalence and association with subclinical @DISEASE$ and atherothrombosis in the general population. false +U-fiXJ84n3uwhJnytH5Z35mDRK0 There was a negative correlation between uterine tissue @CHEMICAL$ levels and VEGF, @DISEASE$, GPx, and MDA levels. false +eQfMGmMUJeYS45h2f7WEEEvUZmM We chose the 3-month mice to establish @DISEASE$ model and study the effect of SIRT3 on the intervertebral disc by Western blotting, quantitative Real Time-Polymerase Chain Reaction (qRT-PCR), immunohistochemistry. Mouse @CHEMICAL$ pulposus cells were cultured to study the exact mechanism. false +z0LL_eHN5a4bnROhH9WvaYliFjA The current study examined the impact of in utero exposure to maternal tobacco smoke on the cord @DISEASE$ [Formula: see text] @CHEMICAL$ methylome. false +1CWc2AIz221QiZQPpJZFKo5mOx0 Leptospirosis is a @DISEASE$, typically tropical disease associated with @CHEMICAL$ sources infected with rat urine. false +w6-LFgXii97-CJfXbbTW_sbjJXE @DISEASE$ is a rare, typically tropical disease associated with @CHEMICAL$ sources infected with rat urine. false +CKV0h69DfgVPaeMFvov_OegPblg Leptospirosis is a rare, typically tropical @DISEASE$ associated with @CHEMICAL$ sources infected with rat urine. false +42OmsyuWyjhKqm9wrcQ6b5vWjNs The results show that AKJ prevents weight gain, lowered @CHEMICAL$ accumulation, @DISEASE$ glucose, serum lipid levels, hepatic steatosis, and modulates the level of expression of genes involved in lipid metabolism in mice with obesity. false +C_PIPhEGn2y1EMX9PVIEml402ow The results show that AKJ prevents weight gain, lowered fat accumulation, blood glucose, serum @CHEMICAL$ levels, hepatic steatosis, and modulates the level of expression of genes involved in lipid metabolism in mice with @DISEASE$. false +bJT8xlmlN2uOTd0h_enldExDGjA The results show that AKJ prevents weight gain, lowered fat accumulation, blood glucose, serum lipid levels, hepatic steatosis, and modulates the level of expression of genes involved in @CHEMICAL$ metabolism in mice with @DISEASE$. false +imDNrKFOfwEx-aBuHb9Szsd0Sgc The results show that AKJ prevents weight gain, lowered fat accumulation, @DISEASE$ @CHEMICAL$, serum lipid levels, hepatic steatosis, and modulates the level of expression of genes involved in lipid metabolism in mice with obesity. false +65AHvGIrRwiJJ55v6wqAmtsD3Vs The results show that AKJ prevents weight gain, lowered @CHEMICAL$ accumulation, blood glucose, serum lipid levels, hepatic steatosis, and modulates the level of expression of genes involved in lipid metabolism in mice with @DISEASE$. false +AuBkMN2S2PKZO8uJRGrP3F_zf48 The results show that AKJ prevents weight gain, lowered fat accumulation, @DISEASE$ glucose, serum lipid levels, hepatic steatosis, and modulates the level of expression of genes involved in @CHEMICAL$ metabolism in mice with obesity. false +d9_cnffow70XzRNKVlAIQ270R68 The results show that AKJ prevents weight gain, lowered fat accumulation, blood @CHEMICAL$, serum lipid levels, hepatic steatosis, and modulates the level of expression of genes involved in lipid metabolism in mice with @DISEASE$. false +3N3jMkN6oI5pKPcrFuYPaATU2YE The results show that AKJ prevents weight gain, lowered fat accumulation, @DISEASE$ glucose, serum @CHEMICAL$ levels, hepatic steatosis, and modulates the level of expression of genes involved in lipid metabolism in mice with obesity. false +LhxPovMmCz_pesc6cUlIskmh67s In addition, SPM levels can be affected by dietary @CHEMICAL$ or protein consumption and by various medications and @DISEASE$. false +sYsjLvI7SAJSgAWuaprS8okIfXw In addition, SPM levels can be affected by dietary polyphenol or @CHEMICAL$ consumption and by various medications and @DISEASE$. false +Y7bXOan_qdjh-NuY2Cx8nWCha_M To @DISEASE$ a detailed insight into the electrochemical properties of the novel material in the respective battery systems, electrodes from the @CHEMICAL$ SiOC were studied in half-cells with galvanostatic charge/discharge measurements. false +tDMVMr1DvF2m-CG8LpqfqM08yf0 @CHEMICAL$ treatment did not prevent the onset of @DISEASE$ false +5Z_iMjbI2tztCxAYQ7_SkTEiq_U Radiofrequency ablation (RFA) promotes @DISEASE$ @CHEMICAL$ T cell responses and enhances the effect of immunotherapy in preclinical settings. false +E5QRXbOykhvL5c6qBJ4tsirPiWE A questionnaire on 6 commonly encountered clinical settings was administered: 1) the elderly; 2) the "frail" patient; 3) interactions with @CHEMICAL$; 4) low-dosages; 5) @DISEASE$ patients; 6) patients with acute coronary syndrome. false +8pgBu6fFdP6NYd5WRIUCMA3INXo A questionnaire on 6 commonly encountered clinical settings was administered: 1) the elderly; 2) the "frail" patient; 3) interactions with @CHEMICAL$; 4) low-dosages; 5) cancer patients; 6) patients with @DISEASE$. false +KO-nIQ9zFyzEVJiikdPEFv1RB9M The persistent @DISEASE$ burden of psychotic disorders often comes from negative symptoms; however, prognostic @CHEMICAL$ for negative symptoms have not been fully understood. false +2m7BDI-W-b3IpTQg4yTBpS7KYm0 The persistent disease burden of psychotic @DISEASE$ often comes from negative symptoms; however, prognostic @CHEMICAL$ for negative symptoms have not been fully understood. false +cPxTpcEa3q2d3Zm0Z71mHAsB-wE @CHEMICAL$ (TXA) reduces perioperative @DISEASE$ loss and transfusion requirement following cardiac surgery. false +DY8Tahwuva67dWFc9TQB29Rq6xg This study aimed to investigate the therapeutic efficacy of @CHEMICAL$ in human @DISEASE$ cell line SMMC7721 and the mechanism of antitumor effects. false +mlGVcvbMesliH0TyX2Y6F28Rr8E We report a remarkable improvement of the activity and stability of a @DISEASE$ @CHEMICAL$ via composition engineering with double redox active sites of Au25 NCs and a Re(i) complex for H2 and CO evolution to promote electron utilization. false +0ynlKlZh9LwtRoeZauTRTjPqL50 We report a remarkable improvement of the activity and stability of a @DISEASE$ catalyst via composition engineering with double redox active sites of Au25 NCs and a Re(i) complex for H2 and CO evolution to promote @CHEMICAL$ utilization. false +971aAH7Nqx8JNUTVEDDG3QjGMik The chemical and biological properties of MSM-rapid crossing of the @DISEASE$ barrier, water solubility, a singlet resonance resolved from @CHEMICAL$ resonances, chemical shift stability with respect to pH/temperature, and stable temporal presence in the brain-lead us to propose its use as a frequency reference for MRS. false +7Gdg_RS5ZbeAQbHiorbqR1VXrkI The chemical and biological properties of MSM-rapid crossing of the @DISEASE$ barrier, water solubility, a singlet resonance resolved from metabolite resonances, chemical shift stability with respect to pH/temperature, and stable temporal presence in the @CHEMICAL$ us to propose its use as a frequency reference for MRS. false +9Oy0CMfkx9i_nr1qYCa_UwKwO5g The @CHEMICAL$ and biological properties of MSM-rapid crossing of the @DISEASE$ barrier, water solubility, a singlet resonance resolved from metabolite resonances, chemical shift stability with respect to pH/temperature, and stable temporal presence in the brain-lead us to propose its use as a frequency reference for MRS. false +xrh6MqtH4PaJ4x0eUaaJt3Sll1Y The chemical and biological properties of MSM-rapid crossing of the @DISEASE$ barrier, @CHEMICAL$ solubility, a singlet resonance resolved from metabolite resonances, chemical shift stability with respect to pH/temperature, and stable temporal presence in the brain-lead us to propose its use as a frequency reference for MRS. false +Y9DfC9va0tcgXPdLgPIb-oUB5uY The chemical and @CHEMICAL$ properties of MSM-rapid crossing of the @DISEASE$ barrier, water solubility, a singlet resonance resolved from metabolite resonances, chemical shift stability with respect to pH/temperature, and stable temporal presence in the brain-lead us to propose its use as a frequency reference for MRS. false +nCdO7v0wRof-ops-sMf8DV0vPNU The chemical and biological properties of MSM-rapid crossing of the @DISEASE$ barrier, water solubility, a singlet resonance resolved from metabolite resonances, @CHEMICAL$ shift stability with respect to pH/temperature, and stable temporal presence in the brain-lead us to propose its use as a frequency reference for MRS. false +cf6244QCcktpb68qdZn0YdZszGM We defined @DISEASE$ prophylaxis as the use of a proton-pump inhibitor, @CHEMICAL$ receptor antagonist, or sucralfate within the first 2 PICU days among children who had not been on these medications at home and had no evidence of gastrointestinal bleeding. false +2f91XgICSiyY4UD51D3KxwLlFFY We defined @DISEASE$ prophylaxis as the use of a proton-pump inhibitor, histamine-2 @CHEMICAL$, or sucralfate within the first 2 PICU days among children who had not been on these medications at home and had no evidence of gastrointestinal bleeding. false +MQsi3twceKJYMTcYcPDNcUkHtFw We defined @DISEASE$ prophylaxis as the use of a proton-pump inhibitor, histamine-2 receptor @CHEMICAL$, or sucralfate within the first 2 PICU days among children who had not been on these medications at home and had no evidence of gastrointestinal bleeding. false +ody-QW5i1SirITUc6I0F-TtwUhI We defined @DISEASE$ prophylaxis as the use of a proton-pump inhibitor, histamine-2 receptor antagonist, or @CHEMICAL$ within the first 2 PICU days among children who had not been on these medications at home and had no evidence of gastrointestinal bleeding. false +fzV9cA7V-q6HNd8VOyzs47O-ZZs We defined @DISEASE$ prophylaxis as the use of a @CHEMICAL$ inhibitor, histamine-2 receptor antagonist, or sucralfate within the first 2 PICU days among children who had not been on these medications at home and had no evidence of gastrointestinal bleeding. false +P7lrcwm9cl9w8OAUDYwwkxzh2Ws We defined @DISEASE$ prophylaxis as the use of a proton-pump @CHEMICAL$, histamine-2 receptor antagonist, or sucralfate within the first 2 PICU days among children who had not been on these medications at home and had no evidence of gastrointestinal bleeding. false +wR8WzLzJNGEkYQ7sIQVd9lI1ojE Inflammation and @CHEMICAL$ stress play a key role in the pathophysiology of advanced chronic liver disease (ACLD) and @DISEASE$ (PH). false +TzzVKh2bNkFsIVdRLVJmTzTR2wk Inflammation and @CHEMICAL$ stress play a key role in the pathophysiology of advanced chronic @DISEASE$ (ACLD) and portal hypertension (PH). false +1ul5_f8CE_x5YehOwlWn9KgaOJ8 [Clinical randomized controlled trial on influence of recombinant human @CHEMICAL$ on the immune function of younger children with severe @DISEASE$ injuries]. false +XNJC-gkdfwSZqLC_7iIESkoN-LQ New therapeutic agents for the prevention and treatment of @DISEASE$ and its pain, based on the @CHEMICAL$ phenomena involved, must be further developed to improve the efficacy of analgesia. false +w7SuoIG-RRAcNmD4Wor6bYXKnSw Compared to the control group, there was a high expression of microRNA-21 in @DISEASE$ @CHEMICAL$. false +i4ZvvbNQMXiUaChjESmJFN9IMDg Compared to the control @CHEMICAL$, there was a high expression of microRNA-21 in @DISEASE$ group. false +NHC9oQngPDPJTLiUvc2Xli2YuCI Treatment of @DISEASE$ in HIV-positive patients is similar to that in HIV-negative patients, but less is known about the @CHEMICAL$ characteristics of NSCLC in HIV-positive patients. false +nt1GKtVrWBl0vmWOqPyU4Fzvbw8 Treatment of NSCLC in HIV-positive patients is similar to that in HIV-negative patients, but less is known about the @CHEMICAL$ characteristics of @DISEASE$ in HIV-positive patients. false +mk9jpMfz4uyzy1ef8u1TQiEVwag However, the underlying molecular mechanisms by which @CHEMICAL$ regulates the formation and development of non-small cell lung cancer (@DISEASE$) remain largely unknown. false +Xcx1wOqZU2l5vDrLVA6A_nAbqa4 However, the underlying @CHEMICAL$ mechanisms by which lycorine regulates the formation and development of @DISEASE$ (NSCLC) remain largely unknown. false +51Lrkd-i6F91GSMb_IXZ1tMhc1A However, the underlying molecular mechanisms by which @CHEMICAL$ regulates the formation and development of @DISEASE$ (NSCLC) remain largely unknown. false +MgDBM8uvS4Heh_I1BTPBVCg-Lq0 However, the underlying @CHEMICAL$ mechanisms by which lycorine regulates the formation and development of non-small cell lung cancer (@DISEASE$) remain largely unknown. false +xbMhBRuH4CarbGS27KFMeERAKk8 The cost derived from the medical care of PLHIV increases as the clinical control of the disease worsens, and it is a key @CHEMICAL$ of the impact of the strategies implemented for the timely identification of the infection and subsequent management of the @DISEASE$. false +ejozw_6cDAH1BOrwHq9RO1W5L0E The cost derived from the medical care of PLHIV increases as the clinical control of the disease worsens, and it is a key @CHEMICAL$ of the impact of the strategies implemented for the timely identification of the @DISEASE$ and subsequent management of the disease. false +Kz8ArVW1bks9WyBE-UTyM4dciY8 The cost derived from the medical care of PLHIV increases as the clinical control of the @DISEASE$ worsens, and it is a key @CHEMICAL$ of the impact of the strategies implemented for the timely identification of the infection and subsequent management of the disease. false +Wm5Af6ag8xeTXf2zvUDVmTv3Qy0 On the contrary, a complete 3D tomography of the hetero-type multicellular @DISEASE$ spheroids (MCTS) was obtained by LSFM and multi-view image fusion which revealed that the fluorescent @CHEMICAL$ was able to reach the core of spheroids as large as 1 mm in diameter. false +wWkDSSu7bnHw588SPyDLmJMWuUI We then found blocking the GR signaling by adding the anti-GR agent @CHEMICAL$ into the cell culture inhibited the CD44+ CSC growth while the addition of the anti-AR agent enzalutamide enhanced the @DISEASE$ growth. false +eP5bBLt4aQzOPGnrGn8KNYdzxI8 We then found blocking the GR signaling by adding the anti-GR agent mifepristone into the cell culture inhibited the CD44+ CSC growth while the addition of the anti-AR agent @CHEMICAL$ enhanced the @DISEASE$ growth. false +jd3d47anVhHIbWcMXoPJP6EfTV8 We then found blocking the GR signaling by adding the anti-GR agent mifepristone into the cell culture inhibited the CD44+ @DISEASE$ growth while the addition of the anti-AR agent @CHEMICAL$ enhanced the CSC growth. false +W_DUFj_xkQyecsW4gYBpxcXKtn8 We then found blocking the GR signaling by adding the anti-GR agent @CHEMICAL$ into the cell culture inhibited the CD44+ @DISEASE$ growth while the addition of the anti-AR agent enzalutamide enhanced the CSC growth. false +UrT2sOxYXQ0H_GtCpLOJ0ch3qK8 In conclusion, few studies have assessed the impacts of @DISEASE$ on @CHEMICAL$. false +fjzPw6jmncJ8VJoIys0PapNMqeo However, whether and via which exact @CHEMICAL$ mechanisms it ameliorates @DISEASE$ (PTSD) remains unclear. false +zHR-Olhh7RF75k8bD5Lv2RSHwPc However, whether and via which exact @CHEMICAL$ mechanisms it ameliorates post-traumatic stress disorder (@DISEASE$) remains unclear. false +lmVlhY4I2BX8YeS7sD3zPjsW_wU Deregulation of @CHEMICAL$ metabolism represents a hallmark of @DISEASE$ (PCa) and promotes its development. false +JHMzUNjSdknqwlBm8vpLGDkg1_M Deregulation of @CHEMICAL$ metabolism represents a hallmark of prostate cancer @DISEASE$) and promotes its development. false +u63lU9qMq3ZPoXY02ikGix3Xnhg We show that extreme disorder in the bound state transforms the intrinsically disordered protein SERF1a from an @CHEMICAL$ factor into a pathogenic enhancer of alpha-synuclein (aSyn) @DISEASE$ toxicity. false +Cdl9C2Jdt06QAidpxCEUYVXXKPY We show that extreme disorder in the bound state transforms the intrinsically disordered @CHEMICAL$ SERF1a from an RNA-organizing factor into a pathogenic enhancer of alpha-synuclein (aSyn) @DISEASE$ toxicity. false +8dQGU2LWk5ugIK_xQHzN-SCerew We show that extreme @DISEASE$ in the bound state transforms the intrinsically disordered protein SERF1a from an @CHEMICAL$ factor into a pathogenic enhancer of alpha-synuclein (aSyn) amyloid toxicity. false +6OO9zUhteogDPUG7xDE80zVCyFA We show that extreme @DISEASE$ in the bound state transforms the intrinsically disordered @CHEMICAL$ SERF1a from an RNA-organizing factor into a pathogenic enhancer of alpha-synuclein (aSyn) amyloid toxicity. false +goTsEKJuswnh74IpGFb4BsB76WY These potential @CHEMICAL$ could be used to assess overall worker health and predict the occurrence of MWCNT-induced @DISEASE$. false +bGbAzsXAcRJ0XkXRq1cVZghDMt8 We found no clear @CHEMICAL$ basis for the impaired reproductive outcomes in women with a @DISEASE$. false +2gbEeUP-MNpVANqE-HuaobmMRtI These parts were then used to cast a urinary tract using a @CHEMICAL$ alcohol (@DISEASE$ material (with 26.6 ± 4.0 kPa Young's elastic modulus). false +3rLT5DUdq1JEqonqnZM5d8A8zDU These parts were then used to cast a urinary tract using a polyvinyl @CHEMICAL$ (@DISEASE$ material (with 26.6 ± 4.0 kPa Young's elastic modulus). false +Tn4ljbhQlgdw3cfbJzQQyk_ReGg Occult hepatitis B virus infection (OBI) is defined as the presence of @DISEASE$ virus (HBV) @CHEMICAL$ in serum and/or liver from HBsAg-negative subjects. false +aN9Hfgp0qO61rg2tDF9ABzMj1NM Occult @DISEASE$ (OBI) is defined as the presence of hepatitis B virus (HBV) @CHEMICAL$ in serum and/or liver from HBsAg-negative subjects. false +Byf206PfSh9rEB-9kYI1O33JEDY β2 microglobulin and @CHEMICAL$ dehydrogenase are indices of different features of Mycoplasma pneumoniae-associated community-acquired lower respiratory tract @DISEASE$ for severity evaluation in children. false +LpFfXxtuFleFmLPbHLOUROhy0PM β2 microglobulin and @CHEMICAL$ dehydrogenase are indices of different features of Mycoplasma pneumoniae-associated @DISEASE$ lower respiratory tract infection for severity evaluation in children. false +T9KUaDPvoe4LzkUxEfkw1MZpaP4 Nephrosis is @DISEASE$ characterized by abnormal @CHEMICAL$ loss from impaired kidney. false +25oil6GsVUUeHBI1CMs5fGwna6A @DISEASE$ is disease characterized by abnormal @CHEMICAL$ loss from impaired kidney. false +owUQ5dIlsvInsuzYa68ZR7BsJsE Thus, selection for high aerobic-exercise performance resulted in a paradoxical decrease in traits positively associated with @CHEMICAL$ capacity per unit of @DISEASE$ volume, and the effect was sex-dependent. false +1WjAydZaCbtkqJZ7W7u1xgBN4ws The identification of preventive interventions that are safe and effective for @CHEMICAL$ ototoxicity is important, especially in children because @DISEASE$ can impair speech-language acquisition development. false +zVqGfQRC1av1Kngc9Z1Tjqgz110 The method is based on the detection of small-angle X-ray scattering, which occurs e.g. at @DISEASE$ in the lung or @CHEMICAL$ interfaces in spongy bone. false +Ua69SQHZuprN4w5GRV9H3B0SQo8 In this review, we describe the potential interactions between abiraterone and various anticoagulants and provide management strategies based on the most recent literature for atrial fibrillation, @DISEASE$ and mechanical heart valves to avoid potential @CHEMICAL$ interactions. false +5g2VVaHY59nqaS4LVOPAOukYpTE In this review, we describe the potential interactions between abiraterone and various anticoagulants and provide management strategies based on the most recent literature for @DISEASE$, venous thromboembolism and mechanical heart valves to avoid potential @CHEMICAL$ interactions. false +8ooN-LL8fHoctHfzetY6c4knfKU In this review, we describe the potential interactions between @CHEMICAL$ and various anticoagulants and provide management strategies based on the most recent literature for @DISEASE$, venous thromboembolism and mechanical heart valves to avoid potential drug-drug interactions. false +-8bi84-DjqS5WJFVJFdFRFBkyoM In this review, we describe the potential interactions between @CHEMICAL$ and various anticoagulants and provide management strategies based on the most recent literature for atrial fibrillation, @DISEASE$ and mechanical heart valves to avoid potential drug-drug interactions. false +rsuVUGHUm6L6eRlKMFOFJrSl6uA In this review, we describe the potential interactions between abiraterone and various @CHEMICAL$ and provide management strategies based on the most recent literature for atrial fibrillation, @DISEASE$ and mechanical heart valves to avoid potential drug-drug interactions. false +qofwxMLjCocFcVNhgIDl4RPU9ZQ In this review, we describe the potential interactions between abiraterone and various @CHEMICAL$ and provide management strategies based on the most recent literature for @DISEASE$, venous thromboembolism and mechanical heart valves to avoid potential drug-drug interactions. false +1-r-A70YWRfyf2jdfRVGjV5hsbA In the current study we aimed to interrogate potential mechanisms by which cardiac mesenchymal stromal cell (CMC)-derived EVs contribute to the @DISEASE$ @CHEMICAL$ paracrine signaling capacity in vitro. false +b7reCngrPe6YNjwAa2PfEBX7I78 In the current study we aimed to interrogate potential mechanisms by which cardiac mesenchymal stromal cell (@DISEASE$ EVs contribute to the CMC @CHEMICAL$ paracrine signaling capacity in vitro. false +K4iXnZ9qMxKyb-FJJ6E2J4T1nsU Parapharyngeal @CHEMICAL$ pad area at the subglosso-supraglottic level is associated with corresponding lateral wall collapse and apnea-hypopnea index in patients with @DISEASE$: a pilot study. false +ghSQSXqAn1-B8kqaISwJ3a4nVbs Parapharyngeal @CHEMICAL$ @DISEASE$ area at the subglosso-supraglottic level is associated with corresponding lateral wall collapse and apnea-hypopnea index in patients with obstructive sleep apnea: a pilot study. false +38Aqp6ULf6Gzz7V-aKqU4KGV0Eo Emotional distress is @DISEASE$ among illicit @CHEMICAL$ users, and it can negatively affect treatment outcomes and increase the risk of relapse. false +HOoTNDwUlDFu2PUTLwe6voJhWf4 The OCTOFA (@DISEASE$ in Octogenarians) Study assessed the @CHEMICAL$ prescribing habits of cardiologists in France. false +2NLB5u3ppfAE4frqZhTvu6YwtFQ @CHEMICAL$ Restores CD73 Expression on Th1.17 in @DISEASE$ and Psoriatic Arthritis Patients and May Contribute to Its Anti-Inflammatory Effect through Ado Production. false +81kQDdmY8m18Z4ApWKOtGSTiYNE @CHEMICAL$ Restores CD73 Expression on Th1.17 in Rheumatoid Arthritis and @DISEASE$ Patients and May Contribute to Its Anti-Inflammatory Effect through Ado Production. false +GWQIw71ZKmFgOhfXn7yao4WCukU Role of Bioactive @CHEMICAL$ in Inflammation and Eye @DISEASE$. false +9qmKuWwl_GYqk5lgRPHaWRZD7Tg Continuing loss of structural integrity in some tracts may contribute to the persistent post-concussion @DISEASE$ in mTBI patients, suggesting certain tracts providing an objective @CHEMICAL$ for tracking the pathological recovery process following mTBI. false +SpO2gUxCLgbriW0UwTkOznZfDCE We investigated napsin A levels through immunohistochemistry on whole sections of 210 primary @CHEMICAL$ tumors of various subtypes and another 41 metastatic thyroid carcinomas, and compared these with 125 primary and 25 metastatic lung @DISEASE$. false +07tQPqEPSM9nFnV1uC9JatZyMjM We investigated napsin A levels through immunohistochemistry on whole sections of 210 primary thyroid tumors of various subtypes and another 41 metastatic @CHEMICAL$ carcinomas, and compared these with 125 primary and 25 metastatic lung @DISEASE$. false +eNDHXkfMpAHZceJkiK2Q1647fHM Fluid intake, urine output and temperature were significantly higher in patients with polyuria, but there were no statistical differences in systolic and diastolic @DISEASE$ pressure, serum electrolytes, @CHEMICAL$ and creatinine. false +8S2s14-i2LgNvzpEZ3DSKmAxd5g Fluid intake, urine output and temperature were significantly higher in patients with polyuria, but there were no statistical differences in systolic and diastolic @DISEASE$ pressure, serum electrolytes, urea and @CHEMICAL$. false +SHRVTtc4n010axP-PtT81BJ9_jI We concluded from our study, that low concentration of aspirin oral preparations are highly active in reducing the inflammatory @CHEMICAL$ associated with periodontal @DISEASE$. false +kFH_bJLwm5t4Ahf_nWJeWREGNeE In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the mTOR inhibitor, sirolimus, and the receptor @CHEMICAL$, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and anemia. false +oKaMOJFmaDR9UBqOjz2KcDs235g In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the mTOR inhibitor, sirolimus, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, @CHEMICAL$ AVMs to avert retinal bleeding and anemia. false +LzzXA1dxldDqmSNtS-WakSyJE20 In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the mTOR inhibitor, @CHEMICAL$, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and @DISEASE$. false +O4cS1gBhgXBWvtZ9WhzVwHobZqw In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the mTOR inhibitor, sirolimus, and the receptor @CHEMICAL$ inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and anemia. false +OAkQSuBulcfYmgu87mdTzg7o5DU In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the mTOR inhibitor, sirolimus, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert @CHEMICAL$ bleeding and anemia. false +M4jAydBKLNzh4yGyQygyu42OXbE In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the mTOR inhibitor, sirolimus, and the receptor tyrosine-kinase inhibitor, @CHEMICAL$, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and anemia. false +7ztEQbiTCuyoi8AwDgCTxUR5Gtk In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the @CHEMICAL$, sirolimus, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and @DISEASE$. false +7IphW_bshC_b3y4t_HdSqRJejiw In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the mTOR inhibitor, @CHEMICAL$, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and anemia. false +wuiBcc3kdAc3vN3PlMKm_2VmdNs In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the mTOR inhibitor, sirolimus, and the receptor @CHEMICAL$ inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and @DISEASE$. false +M8RnUyskP0IoFylalQL04B5aFQY In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the mTOR inhibitor, sirolimus, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert @CHEMICAL$ bleeding and @DISEASE$. false +CqhxKSPZhR0qTszYNtC4gwpbypY In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the mTOR inhibitor, sirolimus, and the receptor tyrosine-kinase inhibitor, @CHEMICAL$, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and @DISEASE$. false +j4o4J-FdemmgatqLVc5nacHKRlA In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of @DISEASE$, we report here that the @CHEMICAL$, sirolimus, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and anemia. false +6Mh4GgKvj1SPb-SKkZPpXCp6R4E In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the mTOR inhibitor, sirolimus, and the receptor @CHEMICAL$, nintedanib, could synergistically fully block, but also reversed, retinal AVMs to avert retinal bleeding and @DISEASE$. false +iVw5z3pn1KRA11G4xiu1GP_Ywz0 In the BMP9/10-immunoblocked (BMP9/10ib) neonatal mouse model of HHT, we report here that the mTOR inhibitor, sirolimus, and the receptor tyrosine-kinase inhibitor, nintedanib, could synergistically fully block, but also reversed, @CHEMICAL$ AVMs to avert retinal bleeding and @DISEASE$. false +Hz6vQ-arzmwacf80WUJPbVQaocc Progressive growth or inadequate management of AVMs may @CHEMICAL$ to bleeding, @DISEASE$, cartilage exposure, and ultimately loss of structure. false +nXJlct-2z_Zz8BOHZ4M_zZsD6CQ In addition, the application of gender medicine also helps to identify accurate @CHEMICAL$ according to gender, facilitating a differential @DISEASE$ management. false +W6Iv8e1HuB7EKU8I5FPXkZM3z-E Multivariate logistic regression analyses adjusted for age, BMI, eGFR and @CHEMICAL$ identified PTC as being associated with the presence of severe @DISEASE$ (odds ratio, 4.20; 95% confidence interval, 1.05-16.8; false +ewMYQbiNHFhO5Dp3hq0G2tuVxV8 Expression of SALL1 @CHEMICAL$ in 120 samples of cerebral @DISEASE$ and 20 samples of normal brain were studied. false +CfGTC1XOG0kt4mWjArj1eMMjEKc Furthermore, our results indicated that L-carnitine supplementation significantly reduced @DISEASE$ levels of @CHEMICAL$, AST, BUN, and Cr in patients with HE. false +3sW1gT_CJ6ALsnmFya78HVK1wJo Furthermore, our results indicated that @CHEMICAL$ supplementation significantly reduced @DISEASE$ levels of bilirubin, AST, BUN, and Cr in patients with HE. false +kwRyev8Yk2_xax0WgHfnFAJtNPE Inner @CHEMICAL$ Layer Reflectivity as Predictor of @DISEASE$ Visual Acuity Outcomes. false +tk5jOus2XMSqK7GK9ZG5TmwG0bA Proteins were quantified through @CHEMICAL$ immunosorbent assay (ELISA) in plasma samples from 14 @DISEASE$ patients and 15 control individuals. false +XWLT8Zf8_ONtatGq8QJkHx1BLrc We established a detailed toxicological analysis procedure to quantify fentanyl, and its metabolite @CHEMICAL$, and other drugs (acetaminophen, allylisopropylacetylurea, celecoxib, estazolam, promethazine, and sertraline) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +-XpCOzVWPq8ZqlYPuKeaZ5c_vFY We established a detailed toxicological analysis procedure to quantify fentanyl, and its metabolite norfentanyl, and other drugs (acetaminophen, allylisopropylacetylurea, celecoxib, estazolam, @CHEMICAL$, and sertraline) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +WWC6ZTILb5aFChtJ3zK5ZgawKrQ We established a detailed toxicological analysis procedure to quantify fentanyl, and its metabolite norfentanyl, and other drugs (acetaminophen, allylisopropylacetylurea, celecoxib, estazolam, promethazine, and @CHEMICAL$) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +xISnP8aDHki2jQGhN8lcTGQKhK0 We established a detailed toxicological analysis procedure to quantify @CHEMICAL$, and its metabolite norfentanyl, and other drugs (acetaminophen, allylisopropylacetylurea, celecoxib, estazolam, promethazine, and sertraline) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +_w-5BU4QE-mvV5hkOEPDq5vDfII We established a detailed toxicological analysis procedure to quantify fentanyl, and its @CHEMICAL$ norfentanyl, and other drugs (acetaminophen, allylisopropylacetylurea, celecoxib, estazolam, promethazine, and sertraline) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +9RX_R9uR7VYfhgioWZtqZOT5exM We established a detailed toxicological analysis procedure to quantify fentanyl, and its metabolite norfentanyl, and other drugs (acetaminophen, allylisopropylacetylurea, celecoxib, @CHEMICAL$, promethazine, and sertraline) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +AE4qWtTOAfygnm7gbfAMZSUXns8 We established a detailed toxicological analysis procedure to quantify fentanyl, and its metabolite norfentanyl, and other drugs (acetaminophen, allylisopropylacetylurea, @CHEMICAL$, estazolam, promethazine, and sertraline) in human whole @DISEASE$ by ultra-high-performance liquid chromatography-tandem mass spectrometry. false +I46BtEIYt7ks5gXjFRK7k51WPJc Lenvatinib, a @CHEMICAL$ with versatile application: from preclinical evidence to future development in @DISEASE$ treatment. false +5A3AgLsF7pjT2gRRFxPGjRPV7Qk @CHEMICAL$, a molecule with versatile application: from preclinical evidence to future development in @DISEASE$ treatment. false +PUT9d29_A9yVoKp0QoyI87XYBlc The @CHEMICAL$ structures of all the new compounds were established by spectroscopic data analyses (HR-ESI-MS, 1D and 2D NMR spectroscopy and electronic circular dichroism @DISEASE$). false +qSafLCr7uaGaeNAkfM2_d937-4A According to @DISEASE$ analysis, the major @CHEMICAL$ in the fractions displaying the highest inhibition had masses of 14.4 kDa. false +7P3YfQm2yW2E07k1jxdlw0vWCzI Structurally, 78/2 and 69/1 Fabs bound the globular head or @CHEMICAL$ of the head domain of @DISEASE$ hemagglutinin (HA), respectively, and induced destabilization of the HA stem domain. false +77z6DHu-Haq7xmvMqkDKZQdtYVM Intra-peritoneal @DISEASE$ after an abdominal hysterectomy involving Cutibacterium avidum (former Propionibacterium avidum) highly resistant to @CHEMICAL$. false +t3q3WLnbE9G6uqMGZdDkDZJknKs Significant reduction of intraoperative @DISEASE$ was recorded in the HPI @CHEMICAL$ compared to the control groups (HPI 48%, CTRL 87.5%, hCTRL 80%; HPI vs. CTRL, respectively hCTRL p < 0.001). false +5s_c9VGiDCP_cjA4hDk8CoPOCGA The IGF1R/IRS1 signaling is activated in @DISEASE$ (ALL) and can be targeted by the pharmacological @CHEMICAL$ NT157 (IGF1R-IRS1/2 inhibitor) and OSI-906 (IGF1R/IR inhibitor). false +mB6JXMojIJsYavz0vfYTQevosHc The IGF1R/IRS1 signaling is activated in @DISEASE$ (ALL) and can be targeted by the pharmacological inhibitors NT157 (@CHEMICAL$1/2 inhibitor) and OSI-906 (IGF1R/IR inhibitor). false +5Us4svmkSZIoJrWC_7kTkliaNeU The IGF1R/IRS1 signaling is activated in @DISEASE$ (ALL) and can be targeted by the pharmacological inhibitors NT157 (IGF1R-IRS1/2 @CHEMICAL$) and OSI-906 (IGF1R/IR inhibitor). false +EXVOXm2peHK-tlUmtb96ZwCERxQ The IGF1R/IRS1 signaling is activated in @DISEASE$ (ALL) and can be targeted by the pharmacological inhibitors NT157 (IGF1R-IRS1/2 inhibitor) and OSI-906 (@CHEMICAL$ inhibitor). false +0T7qSMc15LleZ97AexYRHUsp4lY The IGF1R/IRS1 signaling is activated in @DISEASE$ (ALL) and can be targeted by the pharmacological inhibitors NT157 (IGF1R-IRS1/2 inhibitor) and OSI-906 (IGF1R/IR @CHEMICAL$). false +Yjy0K36pm9yrDdSmhf9AH8aXsRU The @CHEMICAL$1 signaling is activated in @DISEASE$ (ALL) and can be targeted by the pharmacological inhibitors NT157 (IGF1R-IRS1/2 inhibitor) and OSI-906 (IGF1R/IR inhibitor). false +L53Hiodm0_vqyZNjG_iKoGC661Q The @CHEMICAL$ is captured in two slightly different renditions of the rigor-like conformation with a citrate of crystallization at the nucleotide binding site and exhibits structural features @DISEASE$ to myosins of diverse classes from all kingdoms of life. false +RGviQ9V-pbwVKnrzs-JOGl12amQ The protein is captured in two slightly different renditions of the rigor-like conformation with a citrate of crystallization at the @CHEMICAL$ binding site and exhibits structural features @DISEASE$ to myosins of diverse classes from all kingdoms of life. false +mg6oYLmjf45TgwrPRXX6O-1w3qo The protein is captured in two slightly different renditions of the rigor-like conformation with a @CHEMICAL$ of crystallization at the nucleotide binding site and exhibits structural features @DISEASE$ to myosins of diverse classes from all kingdoms of life. false +5ez9nCBM6BoSD189jQstlorhZNM @DISEASE$ experiments gave rough estimate of stabilization and, consequently, possible long-term @CHEMICAL$ resistance. false +oUsQ7OVNBtDjouwMp8w-1dNo0lQ TGA experiments @DISEASE$ rough estimate of stabilization and, consequently, possible long-term @CHEMICAL$ resistance. false +uvCFozW9j6DxfJmlA733B8BxM-Q @DISEASE$ elasticity of nucleosomes is encoded by @CHEMICAL$ variants and calibrated by their binding partners. false +SDSPttkjkKytR5xU0mdB1utDOwI To effectively alleviate acute severe @DISEASE$ (ASUC), we developed a colon-specific delivery system-PLGA-KPV/MMT/CS multifunctional medicinal @CHEMICAL$ loaded with cyclosporine A (CyA). false +SCzcJrZnTfgqgl_OI-TXzTl97Jo To effectively alleviate acute severe @DISEASE$ (ASUC), we developed a colon-specific delivery system-PLGA-KPV/MMT/CS multifunctional medicinal nanoparticles loaded with @CHEMICAL$ (CyA). false +f43WRs1mZyye7sJwoSjBWSokh3U To effectively alleviate acute severe ulcerative colitis (ASUC), we developed a colon-specific delivery @DISEASE$ multifunctional medicinal @CHEMICAL$ loaded with cyclosporine A (CyA). false +yh-iGZmHclDtZ6FHgpdQZq8zV8Q To effectively alleviate acute severe ulcerative colitis (ASUC), we developed a colon-specific delivery @DISEASE$ multifunctional medicinal nanoparticles loaded with @CHEMICAL$ (CyA). false +BxL2fuS7UnCt-d0ay2nGsuxVIcE Efficacy of baths with @CHEMICAL$ water in patients with @DISEASE$: a randomized clinical trial. false +BZDhHgTsFDWx_yNPFNiu-BX9cbU Efficacy of baths with mineral-medicinal @CHEMICAL$ in patients with @DISEASE$: a randomized clinical trial. false +9nDGKRuuuO6DITb7fHjK2P5RiJI Reversal of @DISEASE$ Symptoms and Cholinergic Alterations by @CHEMICAL$. false +4Jfovw6Hnv11mnofZXw6hrCQ0xw Memantine, an NMDAR partial @CHEMICAL$, is used to treat moderate to severe @DISEASE$ (AD). false +ee_1SMPeSaMDjhq3tgKwnjdrgP4 @CHEMICAL$, an NMDAR partial antagonist, is used to treat moderate to severe @DISEASE$ (AD). false +5JnQ65XC2DJ1gKP2_io7ne-dS6c c.1603C>T (@CHEMICAL$), resulting in a @DISEASE$ of pancreatic agenesis and abnormal forebrain development in three individuals and a similar phenotype in mice. false +OgcaK0K3rNfW_q6bqphN59TMexM c.1603C>T (@CHEMICAL$), resulting in a syndrome of @DISEASE$ and abnormal forebrain development in three individuals and a similar phenotype in mice. false +dbwd4YQsTE6KMpRz25mggxq_yL0 We collected @DISEASE$ samples and brains at 1, 3, and 7 days after injury for @CHEMICAL$ detection by western blotting, enzyme-linked immunosorbent assay, or immunohistochemical analysis. false +HNr_94bFTE5N1aGqqJzY_tVwmpU We collected blood samples and brains at 1, 3, and 7 days after @DISEASE$ for @CHEMICAL$ detection by western blotting, enzyme-linked immunosorbent assay, or immunohistochemical analysis. false +_Yj3Eyu4CoWpSFu_7ZoGV13ZSPQ We collected blood samples and brains at 1, 3, and 7 days after @DISEASE$ for protein detection by western blotting, @CHEMICAL$ immunosorbent assay, or immunohistochemical analysis. false +0OfvNUWqubT7r66fj_Mr3b30taY We collected @DISEASE$ samples and brains at 1, 3, and 7 days after injury for protein detection by western blotting, @CHEMICAL$ immunosorbent assay, or immunohistochemical analysis. false +TBeWXGnGar44pC7ltEbJwetMB_4 ions, thus suggesting that the chemistry of the hydrated @CHEMICAL$ is relevant for understanding and modeling atmospheric processes at the @DISEASE$ interface. false +DhBLqqb_m5Y9_oIKP8wFa9JrUUE @CHEMICAL$, thus suggesting that the chemistry of the hydrated ions is relevant for understanding and modeling atmospheric processes at the @DISEASE$ interface. false +5mPcJ1fx6ffupUaZOWHPfgE8EVQ ions, thus suggesting that the chemistry of the @CHEMICAL$ ions is relevant for understanding and modeling atmospheric processes at the @DISEASE$ interface. false +v8swzYv5lwtkp0BnvqasnTHZAMA [@CHEMICAL$ treatment in @DISEASE$. false +J-QYRaqXCN0GiheB7KIr1ZBarqA Since @CHEMICAL$ has shown promise as a novel and inexpensive cytoprotective agent in the treatment of oxidative stress-related @DISEASE$, patients with AMD may benefit from NAD+ treatment. false +Yf9pumm-Q1DNK_XANS1TEf68tco Since NAD+ has shown promise as a novel and inexpensive cytoprotective agent in the treatment of oxidative stress-related disease, patients with @DISEASE$ may benefit from @CHEMICAL$ treatment. false +-ihCJRP-2b9pTwLNG1uD7q0azVc Since NAD+ has shown promise as a novel and inexpensive cytoprotective agent in the treatment of oxidative stress-related @DISEASE$, patients with AMD may benefit from @CHEMICAL$ treatment. false +5IMF7wZMZtQoAWnDJWAwvuGoQZw Since NAD+ has shown promise as a novel and inexpensive cytoprotective agent in the treatment of @CHEMICAL$ stress-related disease, patients with @DISEASE$ may benefit from NAD+ treatment. false +qyV8th6c2j9Iye0DoACCdkzcnas Since @CHEMICAL$ has shown promise as a novel and inexpensive cytoprotective agent in the treatment of oxidative stress-related disease, patients with @DISEASE$ may benefit from NAD+ treatment. false +L4Frd9htmiPdj4j92DR-VEWfnm8 Since NAD+ has shown promise as a novel and inexpensive cytoprotective agent in the treatment of @CHEMICAL$ stress-related @DISEASE$, patients with AMD may benefit from NAD+ treatment. false +2kEJqxARJ05nu_B17Wq17sQ5E44 Despite being treated with wide resection, the patient had an optimal functional outcome, no functional loss, no motor or @DISEASE$ deficits and has returned to @CHEMICAL$ full daily activity. false +Csb8jjZn4OKe4O6vJ1OVGYVSuuY Univariate analysis in the training group showed that @DISEASE$ B (HBV) @CHEMICAL$ (P=0.034), false +KXHN3wbTKneIXwj23AsN3Van0Jo Univariate analysis in the training @CHEMICAL$ showed that @DISEASE$ B (HBV) DNA (P=0.034), false +N7TReQIHpW94diP7HKjT5AnZxIg The @DISEASE$ plasma was used to determine the creatinine, urea, alkaline phosphatase, creatine kinase, lactate dehydrogenase, aspartate and @CHEMICAL$ aminotransferase, iron and magnesium levels of the athletes. false +JC3B8WIZIEjoxPOAeRrLfPGUOq0 The @DISEASE$ plasma was used to determine the creatinine, urea, alkaline phosphatase, creatine kinase, lactate dehydrogenase, aspartate and alanine aminotransferase, @CHEMICAL$ and magnesium levels of the athletes. false +G-AAVzGf1wF_pDQ2fd8ur_ILoi0 The @DISEASE$ plasma was used to determine the creatinine, urea, alkaline phosphatase, creatine kinase, @CHEMICAL$ dehydrogenase, aspartate and alanine aminotransferase, iron and magnesium levels of the athletes. false +OAif1ix2OJP7soxJ_5iwGjYXxOw The @DISEASE$ plasma was used to determine the creatinine, urea, alkaline phosphatase, @CHEMICAL$ kinase, lactate dehydrogenase, aspartate and alanine aminotransferase, iron and magnesium levels of the athletes. false +5keuC9ch5E0GBEuqfwZG8TUOXsY The @DISEASE$ plasma was used to determine the creatinine, @CHEMICAL$, alkaline phosphatase, creatine kinase, lactate dehydrogenase, aspartate and alanine aminotransferase, iron and magnesium levels of the athletes. false +Q71dWQspZJpDoqGv7p2H0Q5Dw7Q The @DISEASE$ plasma was used to determine the creatinine, urea, alkaline phosphatase, creatine kinase, lactate dehydrogenase, @CHEMICAL$ and alanine aminotransferase, iron and magnesium levels of the athletes. false +RgisDVX5aq3xCZXF79LGuDIVRJY The @DISEASE$ plasma was used to determine the @CHEMICAL$, urea, alkaline phosphatase, creatine kinase, lactate dehydrogenase, aspartate and alanine aminotransferase, iron and magnesium levels of the athletes. false +T79BJ-KdQ7gjNG9OfN08Qcg7b3o The @DISEASE$ plasma was used to determine the creatinine, urea, alkaline phosphatase, creatine kinase, lactate dehydrogenase, aspartate and alanine aminotransferase, iron and @CHEMICAL$ levels of the athletes. false +LlZsTcmRYk_GMj0o13N5Ig8nAVk @DISEASE$ mimic, inhibitor and the nuclear factor of kappa light @CHEMICAL$ gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect EEC nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +6Fq7I9Pu9-cfjLDa_vUXIL4ZvGM @DISEASE$ mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation @CHEMICAL$ Bay11-7085 were used to detect EEC nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +klwmGhMRA5Ls4BP6aEtT1yjZTqA @DISEASE$ mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) @CHEMICAL$ inhibitor Bay11-7085 were used to detect EEC nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +Eow-Fc6ykd9TtxfgDSg0e75-8UM @DISEASE$ mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells @CHEMICAL$, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect EEC nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +3M-p7Aj7VOZ82GbyWaV-ULHCamw Ssc-novel-miR-106-5p mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells @CHEMICAL$, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +mT2_3uslnCThQKT7m8hZ19rY3Lw Ssc-novel-miR-106-5p mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB @CHEMICAL$ levels (p-NF-κB) and TNF-α and IL-1 secretion. false +CqjeXZRW1OchILfd-Dh_jJTxLVo @DISEASE$ mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect EEC nuclear factor-κB @CHEMICAL$ levels (p-NF-κB) and TNF-α and IL-1 secretion. false +uyx-pMhzmQuNnR4dX_hyT2BKHU4 Ssc-novel-miR-106-5p mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation @CHEMICAL$ Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +xYPtfgEGFfOnjV5L9mNN1iJKVsg Ssc-novel-miR-106-5p mimic, @CHEMICAL$ and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +-MgXpXN4BxR9geFQCb99q7sTCwA @DISEASE$ mimic, @CHEMICAL$ and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect EEC nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +MTzi5qd4K7Fp9Tt_LVBlLcr7Lvc @CHEMICAL$ mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +7CuIKtGoFgv5NjNbxXWx_Vf1ik0 Ssc-novel-miR-106-5p mimic, inhibitor and the nuclear factor of kappa light @CHEMICAL$ gene enhancer in B-cells inhibitor, alpha (IκBα) phosphorylation inhibitor Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +dQ4o31VhZ4D6LB1lc1LQmyLP7O0 Ssc-novel-miR-106-5p mimic, inhibitor and the nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (IκBα) @CHEMICAL$ inhibitor Bay11-7085 were used to detect @DISEASE$ nuclear factor-κB phosphorylation levels (p-NF-κB) and TNF-α and IL-1 secretion. false +GYQJBSE68X8lftGJxH-VtsnjhUY @DISEASE$ beam etching redeposition for 3D multimaterial @CHEMICAL$ manufacturing. false +UOxcxYE8kMKYF_2bHXv06scM1OU Thus, @DISEASE$ likely originates from the simultaneous targeting of loci by pathways that promote euchromatin and heterochromatin, which primes genes for the formation of stably inherited epimutations in the form of CG DNA @CHEMICAL$. false +y8M8yOTIqdMl991OlsH_Q29lqcY Thus, gbM likely originates from the simultaneous targeting of loci by pathways that promote euchromatin and heterochromatin, which primes genes for the formation of stably @DISEASE$ epimutations in the form of CG @CHEMICAL$ methylation. false +9d6KlnMUosj19bCuQRaaGFR0jNg Thus, gbM likely originates from the simultaneous targeting of loci by pathways that promote euchromatin and heterochromatin, which primes genes for the formation of stably @DISEASE$ epimutations in the form of CG DNA @CHEMICAL$. false +sTd6HzY_CmidaeiTVQvRmbyE4qQ Thus, @DISEASE$ likely originates from the simultaneous targeting of loci by pathways that promote euchromatin and heterochromatin, which primes genes for the formation of stably inherited epimutations in the form of CG @CHEMICAL$ methylation. false +DbkHAaLq_M9MoAbk25tHUOVIncM The identification of @CHEMICAL$ targets and pharmacodynamic markers for @DISEASE$ (PD) will empower more effective clinical management and experimental therapies. false +8SLAKrgKW29an2zZBVd5e8j7j8I Furosemide was by far the most @DISEASE$ @CHEMICAL$ given and the initial intravenous dose was only 20 mg in more than half of ICU admissions. false +-6IpU6A8zyZHC5lREnyTTuEZTZo @CHEMICAL$ was by far the most @DISEASE$ diuretic given and the initial intravenous dose was only 20 mg in more than half of ICU admissions. false +eneu3cLUJWUVpJSAjByEzAguwPg UCLA abutment might @CHEMICAL$ to less biomechanical problems related to screw loosening or @DISEASE$. false +vsWW30fNYP5--vVEjKU8VcGZqOE Among the @DISEASE$ hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine @CHEMICAL$ 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +Njj57en-zHah74U2uHyjmguyRLU Among the @DISEASE$ hub genes, epidermal growth factor receptor, spleen @CHEMICAL$ kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +vwpEk6B1Zhil--eTHdLJx8yq_oo Among the ten hub genes, epidermal growth factor receptor, spleen @CHEMICAL$ kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in @DISEASE$ tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +PB1P7ypz35UNbBwlLxnZQZunfZE Among the @DISEASE$ hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion @CHEMICAL$ 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +Hcjpz3nHTSGf_WVcpqkpUynb7V4 Among the ten hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine @CHEMICAL$ 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The @DISEASE$ Genome Atlas data. false +N2Cz7L4eYj23hTMJj7k2u_5EP_o Among the ten hub genes, epidermal growth factor receptor, spleen @CHEMICAL$ kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The @DISEASE$ Genome Atlas data. false +dvJ-nsgOJOLDGB6-7plB7a3sT20 Among the @DISEASE$ hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 @CHEMICAL$ (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +23PTd9uxih13UTzAPKCO6z7GsTo Among the ten hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 @CHEMICAL$ (CD44) were significantly differentially expressed in @DISEASE$ tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +AWpFCVoKE6ST56g1_Q9icrVvel4 Among the ten hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine @CHEMICAL$ 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in @DISEASE$ tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +0nla1Y47g20aM6WMD-Qi_p_GSng Among the ten hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion molecule 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 @CHEMICAL$ (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The @DISEASE$ Genome Atlas data. false +cgAVt_AFqapvia-1O0-tuizgUHI Among the ten hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion @CHEMICAL$ 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in prostate cancer tissues compared with healthy tissues based on The @DISEASE$ Genome Atlas data. false +8kKy1fPj5pHA2k_NnqSJPujhcWE Among the ten hub genes, epidermal growth factor receptor, spleen tyrosine kinase (SYK), intracellular adhesion @CHEMICAL$ 1 (ICAM1), interleukin (IL)6, CXC motif chemokine ligand 8 (CXCL8), cyclin dependent kinase 1 and CD44 molecule (CD44) were significantly differentially expressed in @DISEASE$ tissues compared with healthy tissues based on The Cancer Genome Atlas data. false +pnQpFp4XkdyCFGLM5fiO3TnVHGo In this review we have aimed to understand the currently known @CHEMICAL$ of different Th subsets in the context of an @DISEASE$ like rheumatoid arthritis and find potential therapeutic approaches to tackle the disease through modulation of responsible T cells. false +TlghT6j_cy9PCsaAlDDLqjVqLx0 In this review we have aimed to understand the currently known @CHEMICAL$ of different Th subsets in the context of an autoimmune disease like @DISEASE$ and find potential therapeutic approaches to tackle the disease through modulation of responsible T cells. false +VFkAFFCc7QlCnR612zYWEKhblbY In this review we have aimed to understand the currently known @CHEMICAL$ of different Th subsets in the context of an autoimmune disease like rheumatoid arthritis and find potential therapeutic approaches to tackle the @DISEASE$ through modulation of responsible T cells. false +HXRECXS1mz5GgnNcMLonpr2xikk Detection of circulating miR-221 and miR-222 may be used as circulating @CHEMICAL$ for diagnosis and prediction of outcome for patients with @DISEASE$ false +ij4xx5OzPZKXX5vAAPxmDq63TXg @DISEASE$ of @CHEMICAL$. false +qVY2nqfcJbStQ_iL9t16SUb_PWM Our purpose was to study the relationship of adherence to the Mediterranean diet (MedDiet) with urinary factors that favor the formation of renal calcium and @CHEMICAL$ stones in overweight and obese participants who had @DISEASE$. false +tM2P5EOWiTomN1N8l6xNO4UU__A Our purpose was to study the relationship of adherence to the Mediterranean diet (MedDiet) with urinary factors that favor the formation of renal @CHEMICAL$ and uric acid stones in overweight and obese participants who had @DISEASE$. false +mM-zj3wBuobrDyiP1KZV7s-Kqnk In addition, IL-17 mRNA expression level in @DISEASE$ @CHEMICAL$ was higher than control group. false +OjaYBpIoJjGj5M1KDSMzCLw76UY In addition, IL-17 @CHEMICAL$ expression level in @DISEASE$ group was higher than control group. false +W2XTLiatzbr_M2B5DKJcxjxerd8 In addition, IL-17 mRNA expression level in @DISEASE$ group was higher than control @CHEMICAL$. false +JzCvj3wOuSD8hGAKiRJqY1mzNfk Although fungal culture was not available in the present @DISEASE$, @CHEMICAL$ analysis of the formalin-fixed paraffin-embedded tissue of the fungal ball succeeded in revealing only DNA sequences of Aspergillus nidulans and some other environmental Aspergillus spp. false +3IB45EZATE-jCZDnQuYAU6P_H98 Although fungal culture was not available in the present @DISEASE$, molecular analysis of the formalin-fixed paraffin-embedded tissue of the fungal ball succeeded in revealing only @CHEMICAL$ sequences of Aspergillus nidulans and some other environmental Aspergillus spp. false +_yFqWgUMgbr98lSC56Mv8IROxJ0 Alcoholic and Nonalcoholic @CHEMICAL$ Liver Disease and Incident Hospitalization for Liver and Cardiovascular @DISEASE$. false +oq7WK1_Wt6Qgfw3w83ihywxmOvs These data affirms the notion that prostate-specific @CHEMICAL$ responses as early as 4 weeks after abiraterone initiation can be used to inform both patients and physicians about metastatic castrate-resistant @DISEASE$ outcomes after initiating treatment with this important but costly therapeutic choice. false +i8orEnUTde83tOwRs3cQzPwtzE4 These data affirms the notion that prostate-specific antigen responses as early as 4 weeks after @CHEMICAL$ initiation can be used to inform both patients and physicians about metastatic castrate-resistant @DISEASE$ outcomes after initiating treatment with this important but costly therapeutic choice. false +53rxC-kCrUTmh30AykvmiCUmtWc For example, are there any risk factors (e.g., positivity for rheumatoid factor or @CHEMICAL$ peptide antibodies) that would predict the development of @DISEASE$ in these patients? false +H1hDzDUfyibZLVcKJrdpBF243eY For example, are there any risk factors (e.g., positivity for rheumatoid factor or anti-citrullinated @CHEMICAL$ antibodies) that would predict the development of @DISEASE$ in these patients? false +AaAmuYJOOWKrsVpOSnHeYbitwUw Changes in Accuracy of Continuous Glucose Monitoring Using Dexcom G4 @CHEMICAL$ Over the Course of Moderate Intensity Aerobic Exercise in @DISEASE$. false +2EyowJn1POuZ4SWilByhMxw75E4 Changes in Accuracy of Continuous @CHEMICAL$ Monitoring Using Dexcom G4 Platinum Over the Course of Moderate Intensity Aerobic Exercise in @DISEASE$. false +3oQ39mc8pmY5youxh96VKo8Zqnc In recent years, it has become apparent that @DISEASE$ nanomedicine's reliance on synthetic @CHEMICAL$ as drug delivery systems has resulted in limited clinical outcomes. false +77gxKMe7-UX05gwWIqi0tZCvSyw In recent years, it has become apparent that @DISEASE$ nanomedicine's reliance on synthetic nanoparticles as @CHEMICAL$ delivery systems has resulted in limited clinical outcomes. false +DYplafD3pgH_bMPadxOiVAkKntQ A 2-3 mm wet suit provides adequate thermal protection in trained and @DISEASE$ young males engaged in active diving in shallow @CHEMICAL$ with a temperature of 16°C and above. false +GMmtA2cz9unSIkFD9xGjtVh032I Chromatin regulation at the intersection of @CHEMICAL$ receptor and PI3K pathways in @DISEASE$. false +YuCoY59qmkIDM19GKDL7teQzzi0 may be useful as a countermeasure for S-1 @CHEMICAL$ chemotherapy-induced @DISEASE$. false +uYSKW5s3gwZkO0F3d6m2ne1ddMA Drug combinations have demonstrated high efficacy and low adverse side effects compared to single drug administration in @DISEASE$ therapies and thus have drawn intensive attention from researchers and @CHEMICAL$ enterprises. false +ly1y-spMcdDLLBaGOReKFwLsYjQ Drug combinations have demonstrated high efficacy and low adverse side effects compared to single @CHEMICAL$ administration in @DISEASE$ therapies and thus have drawn intensive attention from researchers and pharmaceutical enterprises. false +RkSgdCaw2nML0kVj1eJOAaWz11o 233 patients were randomized to @DISEASE$ and 232 to @CHEMICAL$, of whom 48 and 57% were uptitrated, respectively. false +DAPUQh5vIfob54OsMvbC-3t7tRs Intravenous @CHEMICAL$ + oral vortioxetine was safe and well-tolerated, with nausea as the most @DISEASE$ adverse event. false +UMn45Lkz6CC-n_NHtXNpUqpO7pU Intravenous vortioxetine + oral @CHEMICAL$ was safe and well-tolerated, with nausea as the most @DISEASE$ adverse event. false +2H71exKKRNJwqZXrp6_-jn5N1NE Among these, optic nerve pallor, optic nerve alterations suggestive of @DISEASE$, notch, peripapillary hemorrhage, and localized @CHEMICAL$ nerve fiber layer defect were detected. false +8bT0607LrwEc6ATrwp_vhwZVE0w Among these, optic nerve pallor, optic nerve alterations suggestive of glaucoma, notch, peripapillary hemorrhage, and @DISEASE$ @CHEMICAL$ nerve fiber layer defect were detected. false +X4hTpVhB__wb1g63Xkb_8s_qAIw Few studies have examined pre-pregnancy depression/anxiety and @CHEMICAL$ medication use in relation to hypertension disorders of pregnancy, i.e. chronic hypertension (CH), @DISEASE$ (PE), and gestational hypertension (GH). false +kFNQ-GfhGnkWE4O2hESvdrKHQwE Few studies have examined pre-pregnancy depression/anxiety and @CHEMICAL$ medication use in relation to hypertension disorders of pregnancy, i.e. chronic hypertension (CH), pre-eclampsia (PE), and @DISEASE$ (GH). false +Ei6QZqI-ouyo8KT6ug2HBrRqbEQ Few studies have examined pre-pregnancy @DISEASE$ and @CHEMICAL$ medication use in relation to hypertension disorders of pregnancy, i.e. chronic hypertension (CH), pre-eclampsia (PE), and gestational hypertension (GH). false +4-_sdroGU7UYojFwP8-iFUmenu0 Few studies have examined pre-pregnancy depression/anxiety and @CHEMICAL$ medication use in relation to hypertension @DISEASE$ of pregnancy, i.e. chronic hypertension (CH), pre-eclampsia (PE), and gestational hypertension (GH). false +gbBYkyzPomcNSIsEKG1cqzr3lbI Dual Oxidase1 (DUOX1) and Dual Oxidase 2 (DUOX2) @CHEMICAL$ levels were upregulated 57.9- and 67.5-fold, respectively, in @DISEASE$ patients. false +PLOTebIFy8NVxvvnT3in0-A__Ts Then, treatment effects on sleep parameters, motor function, @DISEASE$ severity, daily life activities, cognitive function, and psychological states were assessed at different time points.At 6 months, the CPAP group showed significantly lower mean apnea-hypopnea index (AHI), percentage of time with SpO2 at <90% (TS90%), micro-arousal index, and percentages of time in non-rapid eye movement (non-REM) stages 1-2 and REM stage in total sleeping time compared with the control @CHEMICAL$, and significantly higher mean minimum of peripheral oxygen saturation (L-SaO2%) and percentage of time in stage 3 (P < .001) sleep. false +4x1ocmwKWGNqNIwlpluXTz4BMIY Then, treatment effects on sleep parameters, motor function, @DISEASE$ severity, daily life activities, cognitive function, and psychological states were assessed at different time points.At 6 months, the CPAP @CHEMICAL$ showed significantly lower mean apnea-hypopnea index (AHI), percentage of time with SpO2 at <90% (TS90%), micro-arousal index, and percentages of time in non-rapid eye movement (non-REM) stages 1-2 and REM stage in total sleeping time compared with the control group, and significantly higher mean minimum of peripheral oxygen saturation (L-SaO2%) and percentage of time in stage 3 (P < .001) sleep. false +yWKbvQp80Jwpg0EsEIkAVvACJGg Then, treatment effects on sleep parameters, motor function, stroke severity, daily life activities, cognitive function, and psychological states were assessed at different time points.At 6 months, the CPAP group showed significantly lower mean apnea-hypopnea index (AHI), percentage of time with SpO2 at <90% (TS90%), micro-arousal index, and percentages of time in non-rapid eye movement (non-REM) stages 1-2 and REM stage in total sleeping time compared with the control @CHEMICAL$, and significantly higher mean minimum of peripheral oxygen saturation @DISEASE$%) and percentage of time in stage 3 (P < .001) sleep. false +HCM7f0Imh6L7oC60VkAF3PhUiSQ Then, treatment effects on sleep parameters, motor function, @DISEASE$ severity, daily life activities, cognitive function, and psychological states were assessed at different time points.At 6 months, the CPAP group showed significantly lower mean apnea-hypopnea index (AHI), percentage of time with SpO2 at <90% (TS90%), micro-arousal index, and percentages of time in non-rapid eye movement (non-REM) stages 1-2 and REM stage in total sleeping time compared with the control group, and significantly higher mean minimum of peripheral @CHEMICAL$ saturation (L-SaO2%) and percentage of time in stage 3 (P < .001) sleep. false +wkUIVjIq-o6MPHDukCOo92bLX6I Then, treatment effects on sleep parameters, motor function, stroke severity, daily life activities, cognitive function, and psychological states were assessed at different time points.At 6 months, the CPAP @CHEMICAL$ showed significantly lower mean apnea-hypopnea index (AHI), percentage of time with SpO2 at <90% (TS90%), micro-arousal index, and percentages of time in non-rapid eye movement (non-REM) stages 1-2 and REM stage in total sleeping time compared with the control group, and significantly higher mean minimum of peripheral oxygen saturation @DISEASE$%) and percentage of time in stage 3 (P < .001) sleep. false +HaQk_iDFtKU851v3h-6dK-ZDRcg Then, treatment effects on sleep parameters, motor function, stroke severity, daily life activities, cognitive function, and psychological states were assessed at different time points.At 6 months, the CPAP group showed significantly lower mean apnea-hypopnea index (AHI), percentage of time with SpO2 at <90% (TS90%), micro-arousal index, and percentages of time in non-rapid eye movement (non-REM) stages 1-2 and REM stage in total sleeping time compared with the control group, and significantly higher mean minimum of peripheral @CHEMICAL$ saturation @DISEASE$%) and percentage of time in stage 3 (P < .001) sleep. false +NlogkGwZuhatIkroqlbOuQlsEBc In the meanwhile, this deficiency could be exploited for @DISEASE$ treatment by inducing excessive genome instability and catastrophic @CHEMICAL$ damage. false +ag_hoHSB_jTMCL5ZE-qCuclQCLg Pharmacologic inhibition of @CHEMICAL$ deacetylases (HDACs) restores acetylation of @DISEASE$ and sensitizes Tsc1-mutant bladder cancer cells to ganetespib, resulting in apoptosis. false +hRJcgmnS9qWKn_-3WXDPwGTdIWE Pharmacologic inhibition of histone deacetylases (HDACs) restores @CHEMICAL$ of Hsp90 and sensitizes Tsc1-mutant @DISEASE$ cells to ganetespib, resulting in apoptosis. false +QAo8FyCBJhg1DkyzAvbI77snjDA Pharmacologic inhibition of @CHEMICAL$ deacetylases (HDACs) restores acetylation of Hsp90 and sensitizes Tsc1-mutant @DISEASE$ cells to ganetespib, resulting in apoptosis. false +V_u_Ex4Baj6LFMNrFUP2-gSva1U Pharmacologic inhibition of @CHEMICAL$ deacetylases (HDACs) restores acetylation of Hsp90 and sensitizes @DISEASE$ bladder cancer cells to ganetespib, resulting in apoptosis. false +LPuzLR0frfBdGdMv8juzGRVCiCs Pharmacologic inhibition of histone deacetylases (HDACs) restores @CHEMICAL$ of @DISEASE$ and sensitizes Tsc1-mutant bladder cancer cells to ganetespib, resulting in apoptosis. false +-YTQY0821k-p7MZtio6lSWZ286s Pharmacologic inhibition of histone deacetylases (HDACs) restores @CHEMICAL$ of Hsp90 and sensitizes @DISEASE$ bladder cancer cells to ganetespib, resulting in apoptosis. false +nIKa5qIqpjhDXG-_QpBprYPeuwU Expression of the programmed death-1 @CHEMICAL$ 1 (PD-L1) in tumor might be a potential novel marker for @DISEASE$. false +8Qoy9z_5j6qGifpWWQn1fROhVps Expression of the programmed death-1 @CHEMICAL$ 1 (PD-L1) in @DISEASE$ might be a potential novel marker for PCa. false +Hxy8lenFxJfZXpuExDQ2hPYBhGw Thus, we showed that HBVN played a key role in down-regulating plasma @CHEMICAL$ and adiponectin levels in @DISEASE$ rats. false +sPs0wqyP4Ojf0P4BGblR8l0eMyA Thus, we showed that HBVN played a key role in down-regulating plasma leptin and @CHEMICAL$ levels in @DISEASE$ rats. false +lM45h3kkKXP4pM_pBhEY0YY15iY In addition, grouper showed enhanced @CHEMICAL$ dismutase (@DISEASE$) activity after rTH2-3 feeding compared to regular-diet-fed fish. false +nCHjSJ5YzCSKl3H6H6iw1du7iWQ In addition, grouper showed enhanced @CHEMICAL$ dismutase (SOD) activity after rTH2-3 feeding compared to @DISEASE$ fish. false +6Qtt_bqZRElHEtEbiHGPP-z3qn4 The aim of the present study is to analyze the 1-year results, in terms of effectiveness and safety, of the Luminor® 14/14M and 35 @CHEMICAL$ balloons (iVascular, Sant Vicenç dels Horts, Barcelona, Spain) in a special cohort of critical @DISEASE$ (CLI) of the Luminor registry. false +Zg1cQx9apLI9SyWFTbrIzVT7kkA The @CHEMICAL$ urobilin and sphingomyelin (30:1) are associated with incident @DISEASE$ in the general population. false +faJhCDks2nn-hTpwkaqAT4NmXqY The metabolites urobilin and @CHEMICAL$ (30:1) are associated with incident @DISEASE$ in the general population. false +jBJpBbI9K60bMKH3gWCrQCOnBUM The metabolites @CHEMICAL$ and sphingomyelin (30:1) are associated with incident @DISEASE$ in the general population. false +aNQKcdeCiXkJRiMOm2qZ_sEHqj8 particulates with 470 nm in diameter and encapsulated by a kind of hydrophilic @CHEMICAL$ was fabricated and applied to the @DISEASE$ cell line K562, K562/AO2 and primary cells from the bone marrow of CML patients. false +fFYWExHZXkRzCUqeL7cYEyuRht8 particulates with 470 nm in diameter and encapsulated by a kind of hydrophilic @CHEMICAL$ was fabricated and applied to the CML cell line K562, @DISEASE$ and primary cells from the bone marrow of CML patients. false +7-ObOdi1Ye0nf6OCSivstcvIGAQ particulates with 470 nm in diameter and encapsulated by a kind of hydrophilic @CHEMICAL$ was fabricated and applied to the CML cell line K562, K562/AO2 and primary cells from the bone marrow of @DISEASE$ patients. false +y5w7iefv0Y3ofqDsifwdmCTxcKU To compare the @CHEMICAL$ concentrations obtained from venous to those obtained from arterial @DISEASE$ in predicting hospital mortality of patients with sepsis and septic shock. false +V8PUs0hIXrk3dLMqtz9ZDJcY-us @CHEMICAL$ infusion is used to treat @DISEASE$ but patients, especially Japanese patients, often experience acute-phase reactions (APRs). false +8zl5LTNnjfqyv_Eut79uEx0gIqw Cholangiocytes are the target of a @CHEMICAL$ of chronic liver @DISEASE$ termed the cholangiopathies, in which cholangiocytes react to exogenous and endogenous insults leading to disease initiation and progression. false +1SGdrNrCyChFCMIDZVgyp_CWX_Q Cholangiocytes are the target of a @CHEMICAL$ of chronic liver diseases termed the cholangiopathies, in which cholangiocytes react to exogenous and endogenous insults leading to @DISEASE$ initiation and progression. false +54Mk7B6-BO4IcgL63Yhowu_P5J8 Coordination Behavior of 1,4-Disubstituted Cyclen Endowed with Phosphonate, Phosphonate Monoethylester, and @CHEMICAL$ Pendant @DISEASE$. false +3cT3h44HRfLRVCUE3LkK4uYKn5I Coordination Behavior of 1,4-Disubstituted Cyclen Endowed with @CHEMICAL$, Phosphonate Monoethylester, and H-Phosphinate Pendant @DISEASE$. false +MRwFP22TM_DO9a2mCz9ZmhysN2Q Coordination Behavior of 1,4-Disubstituted Cyclen Endowed with Phosphonate, @CHEMICAL$ Monoethylester, and H-Phosphinate Pendant @DISEASE$. false +ZDfkZ98NNDei-lGbiftKgPTTIWI We report on the basis of DFT computations a plausible and detailed reaction mechanism for the first Pd-catalyzed decarbonylative phosphorylation of @CHEMICAL$ forming C-P bonds, which reveals, among other things, crucial events in the second coordination sphere, including @DISEASE$ pair and hydrogen bonding interactions as well as proton transfer. false +SKV_U3lUKc8wOLDyvGSMHa9egQM We report on the basis of DFT computations a plausible and detailed reaction mechanism for the first Pd-catalyzed decarbonylative phosphorylation of amides forming C-P bonds, which reveals, among other things, crucial events in the second coordination sphere, including @DISEASE$ pair and hydrogen bonding interactions as well as @CHEMICAL$ transfer. false +a2ZdMdxtvbUrJ_Zd-1YyslrW95g We report on the basis of DFT computations a plausible and detailed reaction mechanism for the first Pd-catalyzed decarbonylative phosphorylation of amides forming C-P bonds, which reveals, among other things, crucial events in the second coordination sphere, including @DISEASE$ pair and @CHEMICAL$ bonding interactions as well as proton transfer. false +LDlZ-ZBj9NwXQ3lM7Pgko_fEQZY We report on the basis of DFT computations a plausible and detailed reaction mechanism for the first Pd-catalyzed decarbonylative @CHEMICAL$ of amides forming C-P bonds, which reveals, among other things, crucial events in the second coordination sphere, including @DISEASE$ pair and hydrogen bonding interactions as well as proton transfer. false +LExKTRD2QLy33apKdnyjW9t82aA Inverse probability of treatment weighting analysis using propensity score showed that the untreated MA @CHEMICAL$ had higher risks of @DISEASE$ (HR 4.464, 95% CI 2.008-9.901; false +KaGoujFhkxhh0HsOn01vXxdLRUw Compared with @CHEMICAL$ B, group A had a significantly higher rate of borderline @DISEASE$ (66.7% vs. 32.7%, false +DvW5Stu0UvYQxVaePkfRsOCSG2c Compared with group B, @CHEMICAL$ A had a significantly higher rate of borderline @DISEASE$ (66.7% vs. 32.7%, false +RfCyyXvxHuw6f6QBodpJQ6895Sw The levels of CXCL12 and its receptor, CXCR4, as a @CHEMICAL$ of disease activity and cutaneous manifestation in @DISEASE$. false +OL45stX1WQ69aulvrCw9ed8yPOw The levels of CXCL12 and its receptor, CXCR4, as a @CHEMICAL$ of @DISEASE$ activity and cutaneous manifestation in adult-onset Still's disease. false +T-TBpPeMGwTF_GA8ZQ2zu3-BNho Evidence of effects on @DISEASE$ (MS) is conflicting: risk may vary depending on the @CHEMICAL$ used. false +oUbY_lrV3gyhKzM0iPzcJAEFj98 Compared with normal control @CHEMICAL$, the expression of RP11-513G11.1 significantly increased in @DISEASE$ patients (P<0.001). false +ZZ2T710IU-O6dtx4S9iGITxSg1M Compared with normal control @CHEMICAL$, the expression of @DISEASE$ significantly increased in DLBCL patients (P<0.001). false +d8K255t_BRA2wX2fQG3tb8rqVSc Data were retrospectively collected regarding preoperative and immediate postoperative serum levels of adrenocorticotropic @CHEMICAL$ (ACTH) and cortisol (primary outcome measures), as well as other @DISEASE$ hormones and their target organ hormones (secondary outcome measures). false +nEf9lP39B_Bwo38utZfhx47ytGs Data were retrospectively collected regarding preoperative and immediate postoperative serum levels of adrenocorticotropic hormone (ACTH) and cortisol (primary outcome measures), as well as other @DISEASE$ @CHEMICAL$ and their target organ hormones (secondary outcome measures). false +wJHAsVGehaqIYNG9KWLQ7b5ZT8g Data were retrospectively collected regarding preoperative and immediate postoperative serum levels of adrenocorticotropic hormone (ACTH) and @CHEMICAL$ (primary outcome measures), as well as other @DISEASE$ hormones and their target organ hormones (secondary outcome measures). false +OYxgiKgjOzOea1tZ_z7u2N86oGY Data were retrospectively collected regarding preoperative and immediate postoperative serum levels of adrenocorticotropic hormone (ACTH) and cortisol (primary outcome measures), as well as other @DISEASE$ hormones and their target organ @CHEMICAL$ (secondary outcome measures). false +SUgkul9QKUC3RpVjU_NcMghrwD0 This case report describes an exacerbation of ocular @DISEASE$ after intravitreal injection using local @CHEMICAL$. false +FewoFoeqk9n9lz6PuMQWuLOHdK4 Thirdly, @CHEMICAL$ T cells activated by nivolumab sustained their memory to attack @DISEASE$ cells for several months. false +sUuOkDPbcpIqIHJT0gUfEchhOh8 The enteric coat of the core was shellac (SH) with plasticizer @CHEMICAL$ tristearate (@DISEASE$) and CA that was applied by direct compression (dry coating). false +kT6M5ihQBAtxE4fS3o36wk0twbA Recent studies have indicated that @CHEMICAL$ acetyltransferase (@DISEASE$) activity may be induced in response to UV damage, in order to facilitate the repair of UV-induced lesions in chromatin. false +gE3oGQFm9bi9Z5e2qCZYAtBgffs The connection between @DISEASE$ and oxidant/antioxidant status, which can be assessed through @CHEMICAL$ homeostasis (TDH), has not yet been examined. false +chR_-Ss57yadxPCZzMOOrvSGIhc The connection between @DISEASE$ and @CHEMICAL$ status, which can be assessed through thiol-disulfide homeostasis (TDH), has not yet been examined. false +JqJerFA6R635eroOJl6YBPoilBc Conventional coagulation assays have poor @DISEASE$ and specificity for assessing the @CHEMICAL$ effect of direct oral anticoagulants (DOACs). false +zqGqE1IGVyps8kyPL164uR_SyNw Conventional coagulation assays have poor @DISEASE$ and specificity for assessing the anticoagulant effect of direct oral @CHEMICAL$ (DOACs). false +LneJvEDE_MAi4q7lZr1i2c5pDQU Health-related quality of life of exposed versus non-exposed @CHEMICAL$ deprivation therapy patients with @DISEASE$: a cross-sectional study. false +g9oh4qZPN8hykRJmBmKaBhlqbPU However, the relationship between high @CHEMICAL$ microenvironment, SREBP1 and @DISEASE$ remains to be explored. false +EA-mX_Q5u-hz0yefkwxk_4qkJK8 extract suggested its importance as a target for formulation of novel drugs against many microbial infections with minimal side effects and could play a good potential role in accelerating @DISEASE$ healing activity via promoting myofibroblast activity, increase of @CHEMICAL$ and collagen deposition, and regulation of MMP-8 and MPO enzyme activities. false +ykpGCmIGmNeZKR_OIUmXIQVtg3w extract suggested its importance as a target for formulation of novel drugs against many microbial infections with minimal side effects and could play a good potential role in accelerating @DISEASE$ healing activity via promoting myofibroblast activity, increase of hydroxyproline and @CHEMICAL$ deposition, and regulation of MMP-8 and MPO enzyme activities. false +IXo5qRI3w6WQEsAEDekY5F-KhbA extract suggested its importance as a target for formulation of novel drugs against many microbial infections with minimal side effects and could play a good potential role in accelerating @DISEASE$ healing activity via promoting myofibroblast activity, increase of hydroxyproline and collagen deposition, and regulation of MMP-8 and MPO @CHEMICAL$ activities. false +r_wyge5-HqRREhBG6r9yKndYIUs Blood samples were collected from 17 patients infected with @DISEASE$ virus on day-3 fever and from 16 healthy controls who @CHEMICAL$ the inclusion and exclusion criteria for dengue virus infection according to the World Health Organization (WHO) classification for dengue virus infection. false +1V3aRfcJimfpzcPhGkMni8gjFXQ Blood samples were collected from 17 patients infected with dengue virus on day-3 fever and from 16 healthy controls who @CHEMICAL$ the inclusion and exclusion criteria for @DISEASE$ according to the World Health Organization (WHO) classification for dengue virus infection. false +R3zOY_ZYvy6ReW995cJaoFChbnE @DISEASE$ samples were collected from 17 patients infected with dengue virus on day-3 fever and from 16 healthy controls who @CHEMICAL$ the inclusion and exclusion criteria for dengue virus infection according to the World Health Organization (WHO) classification for dengue virus infection. false +ZF9LuJDJpTDwi1gppshIvlxqNM0 Blood samples were collected from 17 patients infected with dengue virus on day-3 fever and from 16 healthy controls who @CHEMICAL$ the inclusion and exclusion criteria for dengue virus infection according to the World Health Organization (WHO) classification for @DISEASE$. false +gtqTYGWUonYRW_P2GlPUtV5f2Cw In contrast, phosphomimetic substitution of the @CHEMICAL$ synthase kinase (GSK3β) site in the @DISEASE$ linker of C0-C2 did not significantly affect the TPA results. false +D0GXirEC5AN6OCWIc3VpJhVwFjE Treatment-related side effects of @DISEASE$ therapies comprise the majority of myocarditis cases in cardio-oncology, and these are often secondary to @CHEMICAL$ and even the newer class of immune checkpoint inhibitors. false +m3os3JuHHx40LJSRybHDeABf5Kc Treatment-related side effects of cancer therapies comprise the majority of @DISEASE$ cases in cardio-oncology, and these are often secondary to @CHEMICAL$ and even the newer class of immune checkpoint inhibitors. false +Gqa3fGN9kD-TuYFpjtQDrfY_bxc Treatment-related side effects of @DISEASE$ therapies comprise the majority of myocarditis cases in cardio-oncology, and these are often secondary to anthracyclines and even the newer class of immune checkpoint @CHEMICAL$. false +US61iEuhpRlu8umApiicSAIegkc Treatment-related side effects of cancer therapies comprise the majority of @DISEASE$ cases in cardio-oncology, and these are often secondary to anthracyclines and even the newer class of immune checkpoint @CHEMICAL$. false +w_1Jz6e-kqWXVxA8qyOfy_yGOOU ISI-mitigating modulation scheme using @DISEASE$ reaction for @CHEMICAL$ communications. false +C4KGWiOEM1l_0WFM2dr10xkWgDE cells to β-lactams and @CHEMICAL$ by the outer membrane porin @DISEASE$. false +3rh5Sk6I_elVyPud6xCmeSzrNqo cells to @CHEMICAL$ and novobiocin by the outer membrane porin @DISEASE$. false +Rn6yQL3VNymWLiEfT2NSBA0qrzQ Cryptogenic cirrhosis: Old and new perspectives in the @DISEASE$ of @CHEMICAL$ and genomic medicine. false +tfT_gD42G6qbwWxz7lEkUDTPIFM @DISEASE$: Old and new perspectives in the era of @CHEMICAL$ and genomic medicine. false +Ut9kkZo3eSzjS0WJ9A7tpcHQrH4 It has many other @CHEMICAL$ functions such as cell growth, immunomodulation, and @DISEASE$ healing. false +p2erTZVAxFhSjNBfIzLEK6ULylE It has many other biological functions such as cell growth, @CHEMICAL$, and @DISEASE$ healing. false +2nV068t4wwrY5w7sWxaepspEXmo The rats were assessed for mouse VAChT copy number, VAChT @CHEMICAL$ expression levels and for sustained attention, response control and @DISEASE$. false +jeHT8QEeIQax7MXZXB4coXk_neo Ocular findings include @CHEMICAL$ keratic precipitates in 35% of cases (9 eyes), posterior synechiae in 31% of cases (8 eyes), vitritis in 81% of cases (21eyes), multifocal choroiditis in 23% of cases (6 eyes), periphlebitis in 27% of cases (7 eyes), and @DISEASE$ in 42% of cases (11eyes). false +5DFkh-Gkmt-9mij-w3eyhrIBsyM Ocular findings include @CHEMICAL$ keratic precipitates in 35% of cases (9 eyes), posterior synechiae in 31% of cases (8 eyes), @DISEASE$ in 81% of cases (21eyes), multifocal choroiditis in 23% of cases (6 eyes), periphlebitis in 27% of cases (7 eyes), and macular edema in 42% of cases (11eyes). false +ANJrA8eV9aOQfT4l1j3_UnQvySo Ocular findings include @CHEMICAL$ keratic precipitates in 35% of cases (9 eyes), posterior synechiae in 31% of cases (8 eyes), vitritis in 81% of cases (21eyes), @DISEASE$ in 23% of cases (6 eyes), periphlebitis in 27% of cases (7 eyes), and macular edema in 42% of cases (11eyes). false +NEfvSDXB_pKX6JvfnX0NtXCXyfw Safety assessment of MEFAS: an innovative hybrid @CHEMICAL$ of mefloquine and artesunate for @DISEASE$ treatment. false +UEKLq6yhYOXUPT58qiJbc-5ktlg Safety assessment of MEFAS: an innovative hybrid salt of mefloquine and @CHEMICAL$ for @DISEASE$ treatment. false +CJQkbr4GWbBiy4r88zpmNyz1vrg Safety assessment of MEFAS: an innovative hybrid salt of @CHEMICAL$ and artesunate for @DISEASE$ treatment. false +UWeza-fM_eg3Br0shXgKk5WjTJQ Therefore, this study compared real-world healthcare utilization and costs in patients with @DISEASE$ treated with brexpiprazole or extended-release (XR) @CHEMICAL$ as adjunctive treatment to ADT. false +TJTpUWiTgaePPrAHfmZimwCBZ2M Zamzam water (ZW) is a natural alkaline @CHEMICAL$ that contains several minerals that may represent a powerful tool for @DISEASE$ therapy. false +d9Iu0jwe_17-ZbXLR5I62whVJDs Zamzam @CHEMICAL$ (ZW) is a natural alkaline water that contains several minerals that may represent a powerful tool for @DISEASE$ therapy. false +dRsduvMjd2YpV_SvLobCInXU22o Intranasal @CHEMICAL$ are one of the most @DISEASE$ types of medication prescribed in patients with rhinitis or rhinosinusitis symptoms, including those with non-allergic rhinitis. false +ZO1SPd27Z0G8O5aDDU_-GE7nW7I Intranasal @CHEMICAL$ are one of the most common types of medication prescribed in patients with @DISEASE$ or rhinosinusitis symptoms, including those with non-allergic rhinitis. false +mpNNsGy8ojjBRLDnv6fpVLRT2Rk Intranasal @CHEMICAL$ are one of the most common types of medication prescribed in patients with rhinitis or rhinosinusitis symptoms, including those with @DISEASE$. false +Yck_kAJqLWwnCmywPhhC-XGbIqU •NRH-L is a rare disease that may @CHEMICAL$ to non-cirrhotic @DISEASE$.•NRH-L false +9t1yO15io_fBdje8FOhCzaOeU_Y •NRH-L is a rare @DISEASE$ that may @CHEMICAL$ to non-cirrhotic portal hypertension.•NRH-L false +2tbzSOLtxGncKB5y9WbyI_g_3jg •NRH-L is a @DISEASE$ disease that may @CHEMICAL$ to non-cirrhotic portal hypertension.•NRH-L false +fZR-9FawC3rXtG3I7ItF9kbEdhk The ACRNaCT trial aims to investigate whether observation is not inferior than @CHEMICAL$ for pathologic complete response or yp stage I, and indicate whether combined chemotherapy contains superior outcomes than 5-fluorouracil alone for yp stage II or III in patients receiving neoadjuvant CRT and surgery for locally advanced @DISEASE$ (LARC). false +hL18q9jnYsPfr1e1aR0l2onUvv4 The ACRNaCT trial aims to investigate whether observation is not inferior than 5-fluorouracil for pathologic complete response or yp stage I, and indicate whether combined chemotherapy contains superior outcomes than @CHEMICAL$ alone for yp stage II or III in patients receiving neoadjuvant CRT and surgery for locally advanced @DISEASE$ (LARC). false +YairIWzfc7_IMokdtP_TbF5M9Ok Nurses can intervene in @CHEMICAL$ use @DISEASE$ via screening, referrals, support of medical and behavioral treatments, and spiritual care that emphasizes hope, forgiveness, and relief from shame and guilt. false +kNLWhs8q9Kl3ooEiCu7VO4cyjwg Furthermore, phosphorous starvation @DISEASE$ in the presence of glucose significantly improved @CHEMICAL$ profile in the biomass and biodiesel quality related parameters. false +2yxJ0ubrsjspqGa3Du2K1ABpLN0 Furthermore, phosphorous starvation @DISEASE$ in the presence of @CHEMICAL$ significantly improved fatty acid profile in the biomass and biodiesel quality related parameters. false +MOkU-YhfvXuPxBy8tGFLdilEnC8 Furthermore, phosphorous starvation @DISEASE$ in the presence of glucose significantly improved @CHEMICAL$ acid profile in the biomass and biodiesel quality related parameters. false +lBgi0kW9kaV5H44HJPgvRZda4XY It is concluded that the administration of @CHEMICAL$ one hour before the CT @DISEASE$, significantly decreases DSB levels. false +upQ3WHdipfCNChWJWmwBK4uFCtw @CHEMICAL$ damage is one of the main injuries caused by @DISEASE$ false +1k1oImVecJ5XGoCsg1x25q2axY8 In animals, H3K4me2 and @CHEMICAL$ are enriched at the transcription start site (@DISEASE$ and function as epigenetic marks that regulate gene transcription, but their functions in plants have not been fully characterized. false +f7lyzJaqumLgEsu-NaJOwfISGAg Low-Dose @CHEMICAL$ does not Increase ROS Production in @DISEASE$ Patients with Severe Infection. false +8bKUGSdq88CT6tFDgejDMVpg2Yk Low-Dose @CHEMICAL$ does not Increase ROS Production in Chronic Granulomatous Disease Patients with Severe @DISEASE$. false +W8WVqylif8LSAi7k2K2wunW7rxk @CHEMICAL$, a potential GLP-1R targeted PET tracer for the detection of @DISEASE$. false +_3Nw189MoL3I3ZfRDkD4FQcQvEA -exendin-4, a potential GLP-1R targeted PET @CHEMICAL$ for the detection of @DISEASE$. false +-1ZulrmMESupCqBPkqABig7CkKw The expression of @DISEASE$ @CHEMICAL$ in leukocytes may be a clinically useful indicator for evaluating pathologic conditions in intestinal IRI. false +rnzdXf88OtqwO2m8mRgC6KnqOuE The expression of @DISEASE$ mRNA in leukocytes may be a clinically useful @CHEMICAL$ for evaluating pathologic conditions in intestinal IRI. false +jBFaRNoGiGH1U6PSgrCNuZHSXKk Especially, @CHEMICAL$ oxime derivative 10b displayed excellent inhibitory efficacy against @DISEASE$ and S. aureus 25923 with MIC values of 0.009 and 0.017 mM, respectively. false +NwJ8khJPCB85C1Zz85Kmvep8pUE Especially, O-methyl @CHEMICAL$ derivative 10b displayed excellent inhibitory efficacy against @DISEASE$ and S. aureus 25923 with MIC values of 0.009 and 0.017 mM, respectively. false +CvH6QgnWOAriDxRg_Ac_CXzXJck VWF/ADAMTS13 ratio as a potential @CHEMICAL$ for early detection of @DISEASE$. false +yS6_NDskUDm-KUE6X1TDcACTqsc Background Type of sedation (conscious @CHEMICAL$ (CS) or general anesthesia (GA)) during Intra-arterial mechanical thrombectomy (IAMT) for treatment of acute ischemic @DISEASE$ may affect patient outcomes. false +O2DEF9FrMkKSxCox252x5EuiwzU Background Type of sedation (conscious sedation (CS) or general @CHEMICAL$ (GA)) during Intra-arterial mechanical thrombectomy (IAMT) for treatment of acute ischemic @DISEASE$ may affect patient outcomes. false +XYq8TMJXVsxcIBXd74WH1gTkm8o Background Type of @CHEMICAL$ (conscious sedation (CS) or general anesthesia (GA)) during Intra-arterial mechanical thrombectomy (IAMT) for treatment of acute ischemic @DISEASE$ may affect patient outcomes. false +mQMER-Si6EMu5RsNKt-9BrwpRGA In vivo, VPR-254 was evaluated for efficacy in DSS, Trintirobenzenesulfonic acid (@CHEMICAL$) and Anti-CD40 antibody-induced murine models of @DISEASE$. false +zWTJdro3Lb-k3UFAGHOrqCLn0hE In vivo, VPR-254 was evaluated for efficacy in DSS, Trintirobenzenesulfonic @CHEMICAL$ (TNBS) and Anti-CD40 antibody-induced murine models of @DISEASE$. false +S6Wmx0_MMMe6GgoL_7r21ca5C0g In vivo, VPR-254 was evaluated for efficacy in @DISEASE$, Trintirobenzenesulfonic acid (@CHEMICAL$) and Anti-CD40 antibody-induced murine models of colitis. false +ztJyis1SUhw5eYsGnbhR-hLPMCs In vivo, VPR-254 was evaluated for efficacy in @DISEASE$, Trintirobenzenesulfonic @CHEMICAL$ (TNBS) and Anti-CD40 antibody-induced murine models of colitis. false +PbN__kUCBRLHBv4qocUHFWiQa90 The induction of @CHEMICAL$ by TQ also reduced the proliferation, migration and invasion of @DISEASE$ cells. false +g2ZqExG13NBIdgrUJJu9MFP5Z9Q Patients @DISEASE$ by enteral route via PEG presented lower caries scores (DMFT: PEG: 1.09, non-PEG: 2.81) and higher percentages of supragingival dental calculus than the oral feeding @CHEMICAL$ (PEG: 86%, non-PEG: 57.6%). false +JXHRDUNl_PXHSB4QI2-zaL03EoU Patients fed by enteral route via PEG presented lower caries scores (DMFT: PEG: 1.09, non-PEG: 2.81) and higher percentages of supragingival dental @DISEASE$ than the oral feeding @CHEMICAL$ (PEG: 86%, non-PEG: 57.6%). false +b0V2OjcvpRxmUyu9Bb6qNrlHFo8 The combination of pexidartinib and binimetinib was safe and tolerable and demonstrated encouraging signs of efficacy in two patients with advanced @DISEASE$ (GIST) refractory to @CHEMICAL$ kinase inhibitors (TKIs).Molecular profiling of GISTs at diagnosis and upon progression may provide insight into the mechanisms of response or resistance to targeted therapies.Additional trials are needed to further explore combined KIT and MEK inhibition in treatment-naïve and TKI-refractory patients with advanced GIST. false +npSyXwPyg6ACalloMgYeYjefeoc The combination of pexidartinib and binimetinib was safe and tolerable and demonstrated encouraging signs of efficacy in two patients with advanced gastrointestinal stromal tumor (@DISEASE$) refractory to @CHEMICAL$ kinase inhibitors (TKIs).Molecular profiling of GISTs at diagnosis and upon progression may provide insight into the mechanisms of response or resistance to targeted therapies.Additional trials are needed to further explore combined KIT and MEK inhibition in treatment-naïve and TKI-refractory patients with advanced GIST. false +YqfSH9t50r7SD6vLoIfgVjHNGpw The combination of pexidartinib and binimetinib was safe and tolerable and demonstrated encouraging signs of efficacy in two patients with advanced gastrointestinal stromal tumor (GIST) refractory to @CHEMICAL$ kinase inhibitors (TKIs).Molecular profiling of GISTs at diagnosis and upon progression may provide insight into the mechanisms of response or resistance to targeted therapies.Additional trials are needed to further explore combined KIT and MEK inhibition in treatment-naïve and TKI-refractory patients with advanced @DISEASE$ false +BNvB0HLSeWm9LnAjyi5_IGxov70 The combination of pexidartinib and binimetinib was safe and tolerable and demonstrated encouraging signs of efficacy in two patients with advanced @DISEASE$ (GIST) refractory to @CHEMICAL$ (TKIs).Molecular profiling of GISTs at diagnosis and upon progression may provide insight into the mechanisms of response or resistance to targeted therapies.Additional trials are needed to further explore combined KIT and MEK inhibition in treatment-naïve and TKI-refractory patients with advanced GIST. false +OMW0qPuAkAiYt8Ee1UNJctUQUV8 The combination of pexidartinib and binimetinib was safe and tolerable and demonstrated encouraging signs of efficacy in two patients with advanced gastrointestinal stromal tumor (@DISEASE$) refractory to @CHEMICAL$ (TKIs).Molecular profiling of GISTs at diagnosis and upon progression may provide insight into the mechanisms of response or resistance to targeted therapies.Additional trials are needed to further explore combined KIT and MEK inhibition in treatment-naïve and TKI-refractory patients with advanced GIST. false +ZskwdUq2F-C5aFpnrQNgJ_2mKDM The combination of pexidartinib and binimetinib was safe and tolerable and demonstrated encouraging signs of efficacy in two patients with advanced gastrointestinal stromal tumor (GIST) refractory to @CHEMICAL$ (TKIs).Molecular profiling of GISTs at diagnosis and upon progression may provide insight into the mechanisms of response or resistance to targeted therapies.Additional trials are needed to further explore combined KIT and MEK inhibition in treatment-naïve and TKI-refractory patients with advanced @DISEASE$ false +n5m0kdB0x95esKTWcFy7OGRdAyw Apart from genetic and @DISEASE$ factors, fibrosis occurs as a side effect of @CHEMICAL$ antineoplastic activity. false +zIm30urstS5C317rwudd5O7_oAk The government management in the EU and non-EU countries should be strengthened to reduce the @DISEASE$ pollutant and @CHEMICAL$ emissions and raise energy transformation to the clean energy in renewable energy and improve health efficiencies in medical and health care field. false +OSWC_Tpg79c797WBnZGgyFGhkuQ Western blotting was performed for ALR, TGF-β receptor II (TGFβ-RII), @CHEMICAL$ 1A1 (COLL1A1), alpha-smooth muscle cell actin @DISEASE$), rac1, E-cadherin and β-actin. false +jI_8rQWadspD-ywBE6hah4_TeQY Nonalcoholic @DISEASE$ (NAFLD) develops when the liver is unable to @CHEMICAL$ or export excess free fatty acids generated by adipose tissue lipolysis, de novo lipogenesis, or dietary intake. false +zuk1_maOfV2IHYZ7Y8S30UpD5lY Nonalcoholic @DISEASE$ (NAFLD) develops when the liver is unable to oxidize or export excess free @CHEMICAL$ generated by adipose tissue lipolysis, de novo lipogenesis, or dietary intake. false +7WCGzaDq0NS5HWUGvjNnvENuSFc Nonalcoholic @DISEASE$ (NAFLD) develops when the liver is unable to oxidize or export excess free @CHEMICAL$ acids generated by adipose tissue lipolysis, de novo lipogenesis, or dietary intake. false +Y_shSMOYd0nqItsjzcbViMgvNi0 The excretion of all @CHEMICAL$ was greater in @DISEASE$ than in women (all p<0.0001). false +zUEzmQN1MwgPuESpPYpc1LURSVE Logistic regression analysis showed that lower SDNN, SDANN and VLF values were risk factors for high @CHEMICAL$ levels in DM patients after adjusting for gender, age and beta-blocker use in the model 1, and for gender, age, beta-blocker use, @DISEASE$ and hypertension in the model 2. false +srbHcoF7blkebyaYDTG39qFuFcE These pressure-induced @DISEASE$ modifications have been rationalized by the volume effects in transforming structures, their different chemical composition, voids, ligands, and cation oxidation states switching between Fe(II), Fe(III), their high- and low-spin states, as well as solubility, @CHEMICAL$ size, and the chemical and physical properties of the pressure transmitting media. false +0k3lLRMrZznS2qDqxMW4xkT9SZI These pressure-induced @DISEASE$ modifications have been rationalized by the volume effects in transforming structures, their different @CHEMICAL$ composition, voids, ligands, and cation oxidation states switching between Fe(II), Fe(III), their high- and low-spin states, as well as solubility, molecular size, and the chemical and physical properties of the pressure transmitting media. false +BN7NPQxbZBJ2s7YTXRpi9fP_ABs These pressure-induced @DISEASE$ modifications have been rationalized by the volume effects in transforming structures, their different chemical composition, voids, ligands, and cation @CHEMICAL$ states switching between Fe(II), Fe(III), their high- and low-spin states, as well as solubility, molecular size, and the chemical and physical properties of the pressure transmitting media. false +A_WSdsmSTmAEFXkhPC-M2k-sQN0 These pressure-induced @DISEASE$ modifications have been rationalized by the volume effects in transforming structures, their different chemical composition, voids, ligands, and @CHEMICAL$ oxidation states switching between Fe(II), Fe(III), their high- and low-spin states, as well as solubility, molecular size, and the chemical and physical properties of the pressure transmitting media. false +BFG93zPWy-jQjBHi4mEaIYnVgH8 These pressure-induced @DISEASE$ modifications have been rationalized by the volume effects in transforming structures, their different chemical composition, voids, ligands, and cation oxidation states switching between Fe(II), Fe(III), their high- and low-spin states, as well as solubility, molecular size, and the @CHEMICAL$ and physical properties of the pressure transmitting media. false +haX6LEZS0lTbQ6Ffp4HE8fGXf64 The effects of the prepared masks on @CHEMICAL$ synthesis, smoothness, and @DISEASE$ were further evaluated in vivo using two modes (mask administration interspersed with UVB exposure and mask administration after UVB exposure) of a rat model. false +hArHBVt7p5-ddKQE26mfLd1cwmQ This study investigated the effects of Raffia palm wine (RPW) on redox imbalance, glycolytic and cholinergic enzymes, and ATPase activities in @DISEASE$ @CHEMICAL$ testicular injury. false +5wSHxPFHSc5K4AZNjFf6_oUOWCQ This study investigated the effects of Raffia palm wine (RPW) on redox imbalance, glycolytic and cholinergic enzymes, and ATPase activities in hyperglycemia-induced @CHEMICAL$ testicular @DISEASE$. false +L9PooJvOOrS7mhB_8Dqpr3bwWps Ginkgo biloba extract was previously demonstrated to have anti-inflammatory activity and had been used in prevention and therapy of some cardiovascular @DISEASE$ (ie myocardial infarction), indicating Ginkgo biloba extract may be a potential @CHEMICAL$ for the treatment of VMC. false +rLTWGYIaGAvTMAynjPgQMDY4c7E Ginkgo biloba extract was previously demonstrated to have anti-inflammatory activity and had been used in prevention and therapy of some cardiovascular diseases (ie myocardial infarction), indicating Ginkgo biloba extract may be a potential @CHEMICAL$ for the treatment of @DISEASE$ false +naM5YaELzHBEujGt_xXt47qqgds Ginkgo biloba extract was previously demonstrated to have anti-inflammatory activity and had been used in prevention and therapy of some cardiovascular diseases (ie @DISEASE$), indicating Ginkgo biloba extract may be a potential @CHEMICAL$ for the treatment of VMC. false +z7AUpAzio85OUe-2jP3s4m9l8pg Risk factors for third-generation @CHEMICAL$ resistance include nosocomial acquisition, recent antibiotic drug use, and @DISEASE$. false +41Vj6HKFaaxYOIf9ZvFOGxy_UdU Risk factors for third-generation cephalosporin resistance include nosocomial acquisition, recent antibiotic @CHEMICAL$ use, and @DISEASE$. false +1kvrcIf6OrV_ZE3mvCRml5l-Qa0 Anthropometric data such as body mass index, mid upper arm circumference (MUAC) and @DISEASE$ parameters such as serum albumin, total lymphocyte count and @CHEMICAL$ were also investigated. false +AOgdJC7koarUerK_tvQwvODIQYE In this work, we develop a theory of EVET for a @CHEMICAL$ of arbitrary shape and apply it to the specific case of EVET-mediated relaxation of @DISEASE$ excitons in a covalently functionalized CNT. false +ROFBATzizs3Z8inF8kKOWYK3GBo In this work, we develop a theory of EVET for a nanostructure of arbitrary shape and apply it to the specific case of EVET-mediated relaxation of @DISEASE$ @CHEMICAL$ in a covalently functionalized CNT. false +Bilf4faApQ61oGbnaDQlLhdamLQ We report stress @DISEASE$ of the hamate hook in a @CHEMICAL$ polo player without any specific trauma. false +FaQ2eyEgNkd7EIYJbUcbL1JVL6M We report stress fracture of the hamate hook in a @CHEMICAL$ polo player without any specific @DISEASE$. false +xrzFPyql3R9nBe0VXUyNirrze1w Expression of ATR7-GFP fusion shows that ATR7 is a @DISEASE$ @CHEMICAL$. false +274lhEOp9lbwaf_Px7defNWm_cw In solvent extraction, the self-assembly of amphiphilic molecules into an organized structure is the phenomenon responsible for the transfer of the @CHEMICAL$ @DISEASE$ from the aqueous phase to the organic solvent. false +zykeMpu2-XrFcYYnFr7sSb47IdY In @CHEMICAL$ extraction, the self-assembly of amphiphilic molecules into an organized structure is the phenomenon responsible for the transfer of the metal @DISEASE$ from the aqueous phase to the organic solvent. false +gPaemXHHvGm-MHGXtZge8Li6xBk In solvent extraction, the self-assembly of amphiphilic molecules into an organized structure is the phenomenon responsible for the transfer of the metal @DISEASE$ from the aqueous phase to the organic @CHEMICAL$. false +B7PgFQRPK__Tl1F4J_I7UkFYFLU In solvent extraction, the self-assembly of @CHEMICAL$ molecules into an organized structure is the phenomenon responsible for the transfer of the metal @DISEASE$ from the aqueous phase to the organic solvent. false +CB1IMk-s42q_4s54-LoftYwlXoc Measures included @DISEASE$ diagnosis, mental health diagnosis, psychotropic medication, body mass index, age, smoking, @CHEMICAL$ and illicit substance use. false +WdZrYQKT_mTgkkPzvxKIuBkoE78 Mechanical versus @CHEMICAL$ valve prosthesis for surgical aortic valve replacement in patients with @DISEASE$. false +PSXEuA18BShu-aq3IoC-OU4pxyY Decisions regarding whether and when to resume direct oral @CHEMICAL$ (DOAC) after acute @DISEASE$ (ICH) are challenging. false +49MpvXtWlg0JmiMBef6xWNx7yC0 Wild-type mice were @DISEASE$ an ethanol-containing or isocaloric liquid diet for 8 weeks and then assessed for liver injury (histopathology and measurement of serum enzymes), gut permeability (in vivo @CHEMICAL$ and ex vivo dye leakage assays), intestinal epithelium ultrastructure (transmission electron microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +bpeLp3GwdUCp0JNphBMPfvwgElc Wild-type mice were fed an ethanol-containing or isocaloric liquid diet for 8 weeks and then assessed for liver @DISEASE$ (histopathology and measurement of serum enzymes), gut permeability (in vivo lactulose/mannitol and ex vivo dye leakage assays), intestinal epithelium ultrastructure (transmission @CHEMICAL$ microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +Cj7gQaFsSTk8t0wHXPiwU12hB9E Wild-type mice were @DISEASE$ an ethanol-containing or isocaloric liquid diet for 8 weeks and then assessed for liver injury (histopathology and measurement of serum enzymes), gut permeability (in vivo lactulose/mannitol and ex vivo dye leakage assays), intestinal epithelium ultrastructure (transmission @CHEMICAL$ microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +DhNdHPZWfZqy0pgCYBDMkgyd5Ls Wild-type mice were fed an ethanol-containing or isocaloric liquid diet for 8 weeks and then assessed for liver @DISEASE$ (histopathology and measurement of serum enzymes), gut permeability (in vivo @CHEMICAL$ and ex vivo dye leakage assays), intestinal epithelium ultrastructure (transmission electron microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +2SSrTToEMJT2EebAammVGoGg9KU Wild-type mice were @DISEASE$ an @CHEMICAL$ or isocaloric liquid diet for 8 weeks and then assessed for liver injury (histopathology and measurement of serum enzymes), gut permeability (in vivo lactulose/mannitol and ex vivo dye leakage assays), intestinal epithelium ultrastructure (transmission electron microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +IFvBiWcpHLRu6BF2a_RI5pKld3A Wild-type mice were fed an ethanol-containing or isocaloric liquid diet for 8 weeks and then assessed for liver @DISEASE$ (histopathology and measurement of serum enzymes), gut permeability (in vivo lactulose/mannitol and ex vivo @CHEMICAL$ leakage assays), intestinal epithelium ultrastructure (transmission electron microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +5uVnetVf-uM3YGtOhEuJGtphdT0 Wild-type mice were @DISEASE$ an ethanol-containing or isocaloric liquid diet for 8 weeks and then assessed for liver injury (histopathology and measurement of serum enzymes), gut permeability (in vivo lactulose/mannitol and ex vivo @CHEMICAL$ leakage assays), intestinal epithelium ultrastructure (transmission electron microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +-Mp7PSEX847Vi6Mum7OaOgTjkvI Wild-type mice were fed an @CHEMICAL$ or isocaloric liquid diet for 8 weeks and then assessed for liver @DISEASE$ (histopathology and measurement of serum enzymes), gut permeability (in vivo lactulose/mannitol and ex vivo dye leakage assays), intestinal epithelium ultrastructure (transmission electron microscopy), and intestinal occludin localization (immunofluorescence microscopy). false +gXH0WFirU7SGB9ENr5L31ukxAJg The content of ABA and its catabolites was followed in the roots and needles of seedlings of Pinus sylvestris and Picea abies under conditions of polyethylene @CHEMICAL$ (PEG)-induced water deficiency (-0.15 and -0.5 @DISEASE$) for 10 days. false +-oHaqduwoaD1yRZd3s3ZtLTvHEk The content of ABA and its catabolites was followed in the roots and needles of seedlings of Pinus sylvestris and Picea abies under conditions of polyethylene glycol (PEG)-induced @CHEMICAL$ deficiency (-0.15 and -0.5 @DISEASE$) for 10 days. false +qp0AhIhhy4mHrAmUW0jTncUZVr8 Endothelial @CHEMICAL$ ceramidase in exosome-mediated release of NLRP3 inflammasome products during @DISEASE$: Evidence from endothelium-specific deletion of Asah1 gene. false +XHMr3SiO6w88KBdPxBURvmGMB-M Finally, we highlight recent advances in the identification of novel epigenetic @CHEMICAL$ and environmental risk factors that may be useful for improved diagnosis and further elucidation of @DISEASE$ etiology. false +BjyO0pvFKY-FMUS-7XvHFcnm31M The combined predictive utility of programmed cell death @CHEMICAL$ 1 (PD-L1) expression and @DISEASE$ mutation burden (TMB) was associated with predictive prognosis (whole-exome sequencing: 1-year PFS area under the receiver operating characteristic curve [AUC], 0.829; 3-year PFS AUC, 0.839; targeted next-generation sequencing: 1-year PFS AUC, 0.826; 3-year PFS AUC, 0.948). false +x2U90vPkU4cEG061WWp-GK_TH0c Participants included 207 respondents from the National Epidemiologic Survey on Alcohol and Related Conditions who @CHEMICAL$ Diagnostic and Statistical Manual of Mental @DISEASE$ (Fifth Edition) diagnoses of BED (n = 163) or BN (n = 44). false +3XL2pPGUVAumbKnjTsdYmSi1C7U Participants included 207 respondents from the National Epidemiologic Survey on @CHEMICAL$ and Related Conditions who met Diagnostic and Statistical Manual of Mental @DISEASE$ (Fifth Edition) diagnoses of BED (n = 163) or BN (n = 44). false +V3nu9OX0Ax8eg1nQc6PEvS1Wb-s A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, 5,5-dimethyl-1,3-cyclohexanedione, aryl amines or ammonium acetates in the presence of a catalytic amount of @CHEMICAL$ metal complex using aqueous ethanol as a reaction medium is reported. false +Q3lQxVkAWaXkQVjyG8c7ezroxBs A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, 5,5-dimethyl-1,3-cyclohexanedione, aryl amines or ammonium acetates in the presence of a catalytic amount of cobalt-alanine @CHEMICAL$ complex using aqueous ethanol as a reaction medium is reported. false +vbtzCy5wOutU5506vH3PEXBuk7o A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, 5,5-dimethyl-1,3-cyclohexanedione, aryl amines or @CHEMICAL$ in the presence of a catalytic amount of cobalt-alanine metal complex using aqueous ethanol as a reaction medium is reported. false +mokbdJZgfTKlfhi6Y6YynIjm_p0 A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, @CHEMICAL$, aryl amines or ammonium acetates in the presence of a catalytic amount of cobalt-alanine metal complex using aqueous ethanol as a reaction medium is reported. false +vH1LJZlQ04K0JJ9La_l2v5AcvZM A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, 5,5-dimethyl-1,3-cyclohexanedione, aryl @CHEMICAL$ or ammonium acetates in the presence of a catalytic amount of cobalt-alanine metal complex using aqueous ethanol as a reaction medium is reported. false +3p_fXWqATMVaWjsNJ5hEX6K6sRQ A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic @CHEMICAL$, 5,5-dimethyl-1,3-cyclohexanedione, aryl amines or ammonium acetates in the presence of a catalytic amount of cobalt-alanine metal complex using aqueous ethanol as a reaction medium is reported. false +WFgEAsEUL8mLVzPNJNlw1dq2IQA A facile and convenient method for the synthesis of acridines and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, 5,5-dimethyl-1,3-cyclohexanedione, aryl amines or ammonium acetates in the presence of a catalytic amount of cobalt-alanine metal complex using aqueous @CHEMICAL$ as a reaction medium is reported. false +o0PfzNJ0V1PSxG-ABIf_XAh4tFk A facile and convenient method for the synthesis of @CHEMICAL$ and its derivatives was developed through @DISEASE$, three-component condensation reaction of aromatic aldehydes, 5,5-dimethyl-1,3-cyclohexanedione, aryl amines or ammonium acetates in the presence of a catalytic amount of cobalt-alanine metal complex using aqueous ethanol as a reaction medium is reported. false +Hkdq3pNqY5U6QHqgeMrggllAcHU The neutrophil is the most abundant leukocyte, recognized for its role in @DISEASE$ and inflammatory diseases, but dysregulation of neutrophil @CHEMICAL$ functions, including phagocytosis, oxidative burst and formation of neutrophil extracellular traps (NETs) may also contribute to an autoimmune process. false +7Y4y8AnRrh8W68tas3b1Q5_MRhs The neutrophil is the most abundant leukocyte, recognized for its role in infectious and inflammatory diseases, but dysregulation of neutrophil @CHEMICAL$ functions, including phagocytosis, oxidative burst and formation of neutrophil extracellular @DISEASE$ (NETs) may also contribute to an autoimmune process. false +9jtc7mNaS3MQ0Y1ykXpx5uLvPz0 The neutrophil is the most abundant leukocyte, recognized for its role in @DISEASE$ and inflammatory diseases, but dysregulation of neutrophil effector functions, including phagocytosis, @CHEMICAL$ burst and formation of neutrophil extracellular traps (NETs) may also contribute to an autoimmune process. false +YLE7m8WonX5G8tpxep3UnjM50pE The neutrophil is the most abundant leukocyte, recognized for its role in infectious and inflammatory @DISEASE$, but dysregulation of neutrophil @CHEMICAL$ functions, including phagocytosis, oxidative burst and formation of neutrophil extracellular traps (NETs) may also contribute to an autoimmune process. false +JUSopQjWn16GJbn3o09Tw30kvfg The neutrophil is the most abundant leukocyte, recognized for its role in infectious and inflammatory diseases, but dysregulation of neutrophil effector functions, including phagocytosis, @CHEMICAL$ burst and formation of neutrophil extracellular @DISEASE$ (NETs) may also contribute to an autoimmune process. false +lhowR8etAPUDuNRsFQN2rvy6-kY The neutrophil is the most abundant leukocyte, recognized for its role in infectious and inflammatory @DISEASE$, but dysregulation of neutrophil effector functions, including phagocytosis, @CHEMICAL$ burst and formation of neutrophil extracellular traps (NETs) may also contribute to an autoimmune process. false +BkAcWHJCbdY852e4GxmsAdeGlRc Of the 650 consecutive samples, from @DISEASE$ patients, 99 (15.3%) were positive by the PaGIA @CHEMICAL$ immunoassay and 31 (4.8%) by FCA. false +sitgLIouhr4P6DlYfgDQ1mx-6pI Integrating aptamer/protein proximity binding-triggered strand displacement and catalytic hairpin assembly (CHA) amplification strategy, an @CHEMICAL$ and @DISEASE$ PEC assay was developed. false +3SjyQBiUwAlwbOqt15aEoEj9-KU Integrating @CHEMICAL$ proximity binding-triggered strand displacement and catalytic hairpin assembly (CHA) amplification strategy, an enzyme-free and @DISEASE$ PEC assay was developed. false +cvf2rjrLealY8-EtHEV0BaoPcWo We included all studies and case reports that used a percutaneous aspiration technique for vegetation removal or debulking with percutaneous lead extraction for patients with @CHEMICAL$ @DISEASE$. false +dtgPNjWAruT-wN7EVwG5_jMfrN0 We included all studies and case reports that used a percutaneous aspiration technique for vegetation removal or debulking with percutaneous @CHEMICAL$ extraction for patients with lead-associated @DISEASE$. false +ocjAdoLFBJQlWoUUW_wOQroHUds Iron @CHEMICAL$ and retinol concentrations differed by @DISEASE$ status, and copper was higher in those with elevated blood pressure. false +ji8WJI0U-RhaP68iMY8kvCfB-ic Iron biomarkers and retinol concentrations differed by anemia status, and @CHEMICAL$ was higher in those with elevated @DISEASE$ pressure. false +lwMkbI-mmjPZU1L8UuADSf3EXgA Iron biomarkers and @CHEMICAL$ concentrations differed by @DISEASE$ status, and copper was higher in those with elevated blood pressure. false +QOo5wAht3sFa_tJL2w41cuThgqQ Iron biomarkers and @CHEMICAL$ concentrations differed by anemia status, and copper was higher in those with elevated @DISEASE$ pressure. false +_vhq5TC9DYCx4fdb4v0XA8gV4x4 Iron @CHEMICAL$ and retinol concentrations differed by anemia status, and copper was higher in those with elevated @DISEASE$ pressure. false +fFJ1Z6CKwLxettAqapoFYsU_tUg Iron biomarkers and retinol concentrations differed by @DISEASE$ status, and @CHEMICAL$ was higher in those with elevated blood pressure. false +UJLUNuk-KiHiJc-hr72tC1H6AqM Studies on the treatment of @DISEASE$ with @CHEMICAL$ acid conjugated dextran and lauryl alcohol loaded with IMD0354. false +Xr5AN5e0wlzc6FWqOdeVjb_Hgsc Studies on the treatment of @DISEASE$ with folate @CHEMICAL$ conjugated dextran and lauryl alcohol loaded with IMD0354. false +lx0G9EuCgaOKFFmPfP_j7urjvkQ Studies on the treatment of @DISEASE$ with folate acid conjugated @CHEMICAL$ and lauryl alcohol loaded with IMD0354. false +b9tVsdhzqFZ13ygk3AiHv0nPvQI Studies on the treatment of @DISEASE$ with folate acid conjugated dextran and lauryl @CHEMICAL$ loaded with IMD0354. false +ubj2LuQpqKB2iSJ-VW4Ppe_oCos This fermentation broth, a @CHEMICAL$ of Bacillus, iturin A and RSM hydrolysate, could simultaneously combat clubroot @DISEASE$ and promote the growth of Brassica napus. false +0hwbyc7PX6FIszsVDmvppTs3dH8 This fermentation broth, a mixture of Bacillus, @CHEMICAL$ and RSM hydrolysate, could simultaneously combat clubroot @DISEASE$ and promote the growth of Brassica napus. false +15JFCMrsJ441N1BmLo8nG_ixJgo Several risk factors have been identified, such as Apolipoprotein E4 genotype, @DISEASE$, traumatic brain injury, depression, and @CHEMICAL$ imbalance, are reported to be associated with late-onset AD. false +SJgChlAPFg2ABxVjNbPRCKhs9Wc Several risk factors have been identified, such as Apolipoprotein E4 genotype, type 2 diabetes, traumatic @DISEASE$, depression, and @CHEMICAL$ imbalance, are reported to be associated with late-onset AD. false +iBHtkqE4BYAYfFglXWxTNKqV_jw Several risk factors have been identified, such as @CHEMICAL$ E4 genotype, @DISEASE$, traumatic brain injury, depression, and hormonal imbalance, are reported to be associated with late-onset AD. false +Jgmei84utLC3lDDW89vE0IctUuc Several risk factors have been identified, such as @CHEMICAL$ E4 genotype, type 2 diabetes, traumatic brain injury, @DISEASE$, and hormonal imbalance, are reported to be associated with late-onset AD. false +gTMILncZtS7Z694a6QKY6mC8rsY Several risk factors have been identified, such as @CHEMICAL$ E4 genotype, type 2 diabetes, traumatic @DISEASE$, depression, and hormonal imbalance, are reported to be associated with late-onset AD. false +18wl09YRRzs7w5voUxTAeJKEgXI Several risk factors have been identified, such as Apolipoprotein E4 genotype, type 2 diabetes, traumatic brain injury, @DISEASE$, and @CHEMICAL$ imbalance, are reported to be associated with late-onset AD. false +vAMplBtAh16yo8f_Z3J-6pL9lpo @CHEMICAL$ has been the standard frontline systemic treatment for @DISEASE$ for over a decade. false +bO3_rBvJxnCRnfMllLUEzWhoJj8 Comparison of laparoscopic and abdominal radical hysterectomy in early stage @DISEASE$ patients without @CHEMICAL$ treatment: Ancillary analysis of a Korean Gynecologic Oncology Group Study (KGOG 1028). false +d3oUqXDkl-zQobAXVcefd9BNETk Comparison of laparoscopic and abdominal @CHEMICAL$ hysterectomy in early stage @DISEASE$ patients without adjuvant treatment: Ancillary analysis of a Korean Gynecologic Oncology Group Study (KGOG 1028). false +iMWZ_hFPjYXpN36L4fUh0Q0v8-o The impact of low dose @CHEMICAL$ on gonodal function after allogeneic hematopoietic stem cell transplantation for @DISEASE$. false +D6ajJnySCf2a9b4kVZVZpno9CNo To report toxicity (primary endpoint) and @CHEMICAL$ disease-free survival (BDFS) outcomes of a phase II trial evaluating ultra-hypofractionated radiation therapy (UHRT), focusing on patients with unfavourable intermediate-risk and high-risk @DISEASE$ (PCa). false +F_IoS9EYFzP4tmJZ8x2rJvpEF64 To report toxicity (primary endpoint) and @CHEMICAL$ disease-free survival (BDFS) outcomes of a phase II trial evaluating ultra-hypofractionated radiation therapy (UHRT), focusing on patients with unfavourable intermediate-risk and high-risk prostate cancer @DISEASE$). false +N05H3yPvI-Ad4rsWx2sk6-Uv0eY To report toxicity (primary endpoint) and @CHEMICAL$ @DISEASE$ survival (BDFS) outcomes of a phase II trial evaluating ultra-hypofractionated radiation therapy (UHRT), focusing on patients with unfavourable intermediate-risk and high-risk prostate cancer (PCa). false +s4bawhJzlFUn4NqLPQ0TgpLot50 Aspartate aminotransferase (AST), @CHEMICAL$ aminotransferase (@DISEASE$, and g-glutamyl transferase (GGT) tests were implemented; descriptive analysis and mean testing were performed to analyze the data. false +YPy9_fUP5qhU1O3pW-o-4wPa9yA @CHEMICAL$ aminotransferase (AST), Alanine aminotransferase (@DISEASE$, and g-glutamyl transferase (GGT) tests were implemented; descriptive analysis and mean testing were performed to analyze the data. false +YyyyVxlCzA9raSh_Qtlhgq0PYxE Fn14 is a transmembrane receptor @CHEMICAL$ belonging to the @DISEASE$ necrosis factor receptor (TNFR) superfamily. false +_SHJqDcJN4HcwcsXmIgkafTjtaA current (KSper) in human sperm, which is most likely composed of Slo3 and its auxiliary subunit @DISEASE$ repeat-containing @CHEMICAL$ 52 (LRRC52). false +z9XJxYJz8gNabxzxllbmmy7uA-I However, the cellular and @CHEMICAL$ mechanisms underlying bilirubin @DISEASE$ remain unclear. false +YdrUpuTJNwCtr9NadnELtFunzJI However, the cellular and molecular mechanisms underlying @CHEMICAL$ @DISEASE$ remain unclear. false +z1WhRPUEfoQiwMl-cVckQq2r3TI Analysis of @CHEMICAL$ metabolites as evidence of cocaine consumption: Identification by parent @DISEASE$ search and quantitation by UHPLC-MS/MS in hair. false +hJ8l9iG3pP2ybMgWIV-nh-in4vw Analysis of hydroxy-cocaine @CHEMICAL$ as evidence of cocaine consumption: Identification by parent @DISEASE$ search and quantitation by UHPLC-MS/MS in hair. false +CGfErGt2aNxXXqniLWSh9Zocm5Q Analysis of hydroxy-cocaine metabolites as evidence of @CHEMICAL$ consumption: Identification by parent @DISEASE$ search and quantitation by UHPLC-MS/MS in hair. false +CvmIpkIRAXLw_wXvuGP9CSKzztg In mice subjected to dextran sulfate @CHEMICAL$ colitis, oral administration of BDS-entrapped KO liposomes suppressed @DISEASE$ necrosis factor-α production (by 84.1%), interleukin-6 production (by 35.3%), and the systemic level of endotoxin (by 96.8%), and slightly reduced the macroscopic signs of the disease. false +e_jfAvWXpSfPjXO9kWUfaX0jXmU In mice subjected to @CHEMICAL$ sodium-induced colitis, oral administration of BDS-entrapped KO liposomes suppressed @DISEASE$ necrosis factor-α production (by 84.1%), interleukin-6 production (by 35.3%), and the systemic level of endotoxin (by 96.8%), and slightly reduced the macroscopic signs of the disease. false +YNJ_gZ3upx6MgMJUepuNz0aJCLc In mice subjected to @CHEMICAL$ sodium-induced @DISEASE$, oral administration of BDS-entrapped KO liposomes suppressed tumor necrosis factor-α production (by 84.1%), interleukin-6 production (by 35.3%), and the systemic level of endotoxin (by 96.8%), and slightly reduced the macroscopic signs of the disease. false +y73yR0kuIu113KjrwWnTR9TLm9A In mice subjected to dextran sulfate @CHEMICAL$ colitis, oral administration of BDS-entrapped KO liposomes suppressed tumor necrosis factor-α production (by 84.1%), interleukin-6 production (by 35.3%), and the systemic level of endotoxin (by 96.8%), and slightly reduced the macroscopic signs of the @DISEASE$. false +RcOW6i-2F1e-AIJrfTLFVtiioNA In mice subjected to @CHEMICAL$ sodium-induced colitis, oral administration of BDS-entrapped KO liposomes suppressed tumor necrosis factor-α production (by 84.1%), interleukin-6 production (by 35.3%), and the systemic level of endotoxin (by 96.8%), and slightly reduced the macroscopic signs of the @DISEASE$. false +v1gUPFGqH7KFKh1p5d19JyS2Ghg In mice subjected to dextran sulfate @CHEMICAL$ @DISEASE$, oral administration of BDS-entrapped KO liposomes suppressed tumor necrosis factor-α production (by 84.1%), interleukin-6 production (by 35.3%), and the systemic level of endotoxin (by 96.8%), and slightly reduced the macroscopic signs of the disease. false +huN1Jf0ecAQd64yT02R8rcXukSc Based on the hydrophobic nature of the self-assembled monolayer (SAM), the modification allows for @DISEASE$ @CHEMICAL$, while it prevents etching of the electrode. false +0A1SVyG6_TMQfm5VMediYetDX2M These nine @CHEMICAL$ showed higher @DISEASE$ activity, i.e., inhibitory activity toward histamine release from rat peritoneal mast cells, than their respective aglycones. false +uttwu1TwMCy2XN_dvM3X75dwqXs These nine glycosides showed higher @DISEASE$ activity, i.e., inhibitory activity toward @CHEMICAL$ release from rat peritoneal mast cells, than their respective aglycones. false +Nkq74OY0cotl-TDUrAwhTMTg8v4 In contrast, insulin bolus calculators that rely on BG prediction for multiple daily insulin (MDI) injections for patients under self-monitoring @DISEASE$ @CHEMICAL$ (SMBG) are scarce because of insufficient data sources and limited prediction capability of forecasting models. false +RRfq7ffyTmNHK3q1-6DFyggST0Q Results of our network and the functional enrichment analysis suggest that besides @DISEASE$, MYC, SP1, BRCA1, RB1, CFTR, STAT3, E2F1, ERBB2, EZH2, and @CHEMICAL$ genes, additional genes which are enriched in cell cycle regulation, FOXO, TP53, PI-3AKT, AMPK, TGFβ, ERBB signaling pathways and in the regulation of gene expression, proliferation, cellular response to hypoxia, and negative regulation of the apoptotic process, the GO terms have central importance in ovarian cancer development. false +3oxB08USuUQGLeWNR5Xmj6D1fG4 Results of our network and the functional enrichment analysis suggest that besides HSP90AA1, MYC, SP1, BRCA1, RB1, CFTR, STAT3, E2F1, ERBB2, EZH2, and @CHEMICAL$ genes, additional genes which are enriched in cell cycle regulation, FOXO, TP53, PI-3AKT, AMPK, TGFβ, ERBB signaling pathways and in the regulation of gene expression, proliferation, cellular response to hypoxia, and negative regulation of the apoptotic process, the GO terms have central importance in @DISEASE$ development. false +5yyAk4kSsQx8g0fDZha95ATJlno In vampire bats, blood sharing reflects reciprocity between @DISEASE$ colony members [8-10], and long-term social bonds affect @CHEMICAL$ sharing in chimpanzees [11]. false +4W7gZ8gKsQ5rJ_lRUhY_JAGrd0w In vampire bats, @DISEASE$ sharing reflects reciprocity between non-kin colony members [8-10], and long-term social bonds affect @CHEMICAL$ sharing in chimpanzees [11]. false +O5aft5MyULiYp5XkmHsSciID_x4 The @CHEMICAL$ enzymes: @DISEASE$ (3.2-fold), false +5CeCy5pAMWkSPFm9wgTnXIjF4xM @CHEMICAL$ oxidase in @DISEASE$: Friend or foe? false +QGYNE_QqDPDXNdhLcm1EQhoC5aI The @DISEASE$ subcomplex acts as a pivot in the @CHEMICAL$ synthetase complex. false +c7DZXNHIzopoLxsLSE0DFrMu-sQ @CHEMICAL$ transcriptome profiling in MM lines also demonstrated a requirement of PHF19 for optimal silencing of PRC2 targets, which include cell cycle inhibitors and interferon-JAK-STAT signaling genes critically involved in @DISEASE$ suppression. false +52su_CprCgNy75jXeoaO1n0Atyw RNA-sequencing-based transcriptome profiling in MM lines also demonstrated a requirement of PHF19 for optimal silencing of PRC2 targets, which include cell cycle @CHEMICAL$ and interferon-JAK-STAT signaling genes critically involved in @DISEASE$ suppression. false +BKDelL8jrqDVzY9l8tIITx6IFm8 The parameters for physiological and metabolic changes such as @DISEASE$, hypertension, hyperglycaemia, dyslipidaemia, and inflammatory @CHEMICAL$ (NFκβ p65, TNFα, leptin and adiponectin) were measured. false +phGkFqqhbxMtKGYt1MCtnifJ17c The parameters for physiological and metabolic changes such as @DISEASE$, hypertension, hyperglycaemia, dyslipidaemia, and inflammatory biomarkers (NFκβ p65, TNFα, leptin and @CHEMICAL$) were measured. false +tl9yhP7f7gdAQZDqvWZo3yGOQjw The parameters for physiological and metabolic changes such as @DISEASE$, hypertension, hyperglycaemia, dyslipidaemia, and inflammatory biomarkers (NFκβ p65, TNFα, @CHEMICAL$ and adiponectin) were measured. false +up_ycGOFyOw3JL40qWJEZpVPKJk Compared with the control @CHEMICAL$, hyperglycemic mice exhibited a significant increase in intrahepatic inflammation and liver @DISEASE$. false +LXPnS3RzZhvTSmvaM_XktDvgZ3c Identifying @DISEASE$ characteristics that correlate with metastasis and survival in patients with conjunctival melanoma can potentially lead to better outcomes through a better selection of patients for @CHEMICAL$ treatments including potentially life-saving new melanoma therapy. false +O3kMEf38JRFnLbqd6Njhg_YAQms Identifying @DISEASE$ characteristics that correlate with metastasis and survival in patients with conjunctival melanoma can potentially @CHEMICAL$ to better outcomes through a better selection of patients for adjuvant treatments including potentially life-saving new melanoma therapy. false +pWfiZwdakS3eN5G6SE3rOkxx_j0 Identifying tumor characteristics that correlate with metastasis and survival in patients with conjunctival melanoma can potentially lead to better outcomes through a better selection of patients for @CHEMICAL$ treatments including potentially life-saving new @DISEASE$ therapy. false +JxxUGgfxogX89gOY10uZ7pscl_s Identifying tumor characteristics that correlate with metastasis and survival in patients with conjunctival melanoma can potentially @CHEMICAL$ to better outcomes through a better selection of patients for adjuvant treatments including potentially life-saving new @DISEASE$ therapy. false +casQcMPYbWiGr0Qw2G2yhNhjGzM Identifying tumor characteristics that correlate with metastasis and survival in patients with @DISEASE$ can potentially lead to better outcomes through a better selection of patients for @CHEMICAL$ treatments including potentially life-saving new melanoma therapy. false +Kj_EVfVKA57mh7o8RMV0JVvlFig Identifying tumor characteristics that correlate with metastasis and survival in patients with @DISEASE$ can potentially @CHEMICAL$ to better outcomes through a better selection of patients for adjuvant treatments including potentially life-saving new melanoma therapy. false +w24RdsiNwvb4V7T8PR8Lg6CFCQk In this article, we reviewed the various HCC @CHEMICAL$ derived from "omics" data and discussed the advantages and disadvantages for diagnosis @DISEASE$ false +Q31mHdCaTl2-2viyg-AAEPAHZ-g In this article, we reviewed the various @DISEASE$ @CHEMICAL$ derived from "omics" data and discussed the advantages and disadvantages for diagnosis HCC. false +HsI-tAU6lmTigkxMXqyySU_DLqA Oral @CHEMICAL$ bicarbonate supplementation showed no effect on T50-time in acidotic @DISEASE$ patients. false +ONlJIA7lNojEOqqKbQw1gbc4Jz0 Approach to @CHEMICAL$ dizziness after successfully treated @DISEASE$: effect of a polyphenol compound supplementation. false +Smvrm2eHBXCt5XWDWoL1XdUEVkc Approach to residual dizziness after successfully treated @DISEASE$: effect of a @CHEMICAL$ compound supplementation. false +OVCYn9ULr9rvn4xlXkM31e94dCc Facile Universal Mass Production Strategy to Sub-3 nm Monodisperse @CHEMICAL$ of Transition-Metal Oxides and Their Excellent Cyclability for @DISEASE$ Storage. false +KAkMX6zPMe5FvKfzwjsbKxyWqOs Facile Universal Mass Production Strategy to Sub-3 nm Monodisperse Nanocrystals of Transition-Metal @CHEMICAL$ and Their Excellent Cyclability for @DISEASE$ Storage. false +JJtGl87uiQ2xKU0a3bbB6VVmJAg This straightforward, cost-effective and rapid method, determining @CHEMICAL$, @DISEASE$ and creatinine within one single chromatographic run, has been successfully used for the analysis in porcine and broiler chicken plasma samples in order to determine the renal function of these species. false +qmtR3rn2GOuWCTQpvIV2tkK_aNY This straightforward, cost-effective and rapid method, determining iohexol, @DISEASE$ and @CHEMICAL$ within one single chromatographic run, has been successfully used for the analysis in porcine and broiler chicken plasma samples in order to determine the renal function of these species. false +uhcK7ktI-SBOnwot_JpAz3Hsewo Remarkably, the Peñahueca @DISEASE$ metagenome contained CRISPR-associated @CHEMICAL$ and repetitions which were over 10-fold higher than in most hypersaline systems analysed so far. false +YlYJiS2Rf8_9iUs3NASIRPwFhVU The crystal structures of CDD-1, the @DISEASE$ class D β-lactamase from the pathogenic Gram-positive bacterium Clostridioides difficile, and its complex with @CHEMICAL$. false +ckypxdMhRSeBOLojd6NaI0L-ZpE @DISEASE$ maize modulates the expression of prostaglandin genes in @CHEMICAL$ RAW264.7 macrophages. false +GjNi409WOgdyK7_NapRt2_2r-w0 @DISEASE$ maize modulates the expression of @CHEMICAL$ genes in lipopolysaccharide-stimulated RAW264.7 macrophages. false +joBHWyQxsZBJOfGtxajZtMsCVNY @CHEMICAL$ polymorphisms modulate the susceptibility to @DISEASE$ of the femoral head among Chinese Han population. false +Bm1lxztdBIX5NJji8-HXvODvy5w Additionally, @CHEMICAL$ administration significantly reduced diastolic @DISEASE$ pressure (DBP) (β - 5.01 mmHg; 95% CI, - 9.04, - 0.97; P = 0.01) compared with the placebo. false +CLBJ2f8HWFCWiHkwTUjjytR1I8g The @DISEASE$ mutants were recombinantly produced and their activity, structure and stability were investigated using @CHEMICAL$ methods, CD and DSC methods. false +anl5TKTcIG5QMNeb5FCW_XLc1AE In this study, we investigated the role of a regulator of G-protein signaling 5 (RGS5) protein, which regulates AT1R activity, in angiotensin II-induced brain @CHEMICAL$ stress, inflammation and anxiety-, and @DISEASE$ behavior. false +uO9DLBUn-54yPpJVRBTco4ofog0 In this study, we investigated the role of a regulator of @CHEMICAL$ signaling 5 (RGS5) protein, which regulates AT1R activity, in angiotensin II-induced brain oxidative stress, inflammation and anxiety-, and @DISEASE$ behavior. false +cHdOKbpj1msPdhWx70loxPzcWzk In this study, we investigated the role of a regulator of @CHEMICAL$ signaling 5 (RGS5) protein, which regulates AT1R activity, in angiotensin II-induced brain oxidative stress, inflammation and @DISEASE$ and depression-like behavior. false +1ijht9vRPGhhnXI1l-LjjMn5qfU In this study, we investigated the role of a regulator of G-protein signaling 5 (RGS5) protein, which regulates AT1R activity, in angiotensin II-induced brain @CHEMICAL$ stress, inflammation and @DISEASE$ and depression-like behavior. false +PUKhmKrwLEsaJyPflz0bcUe28Q8 In this study, we investigated the role of a regulator of G-protein signaling 5 (RGS5) @CHEMICAL$, which regulates AT1R activity, in angiotensin II-induced brain oxidative stress, inflammation and anxiety-, and @DISEASE$ behavior. false +xai1H1ysqB9YF1RFWj87kxFqYiA In this study, we investigated the role of a regulator of G-protein signaling 5 (RGS5) @CHEMICAL$, which regulates AT1R activity, in angiotensin II-induced brain oxidative stress, inflammation and @DISEASE$ and depression-like behavior. false +l49R7NwtGtTjMfjIuBO1hNG5n4c In this study, we investigated the role of a regulator of G-protein signaling 5 (RGS5) protein, which regulates AT1R activity, in @CHEMICAL$ brain oxidative stress, inflammation and @DISEASE$ and depression-like behavior. false +mehs95-UrZKpazEYUaGWwAFar5A In this study, we investigated the role of a regulator of G-protein signaling 5 (RGS5) protein, which regulates AT1R activity, in @CHEMICAL$ brain oxidative stress, inflammation and anxiety-, and @DISEASE$ behavior. false +KQ9u0TiuxWTwC53JAdSisV824MM A number of teams have investigated the association between the mode of @CHEMICAL$ and the long-term outcomes after @DISEASE$ surgeries, with inconsistent conclusions. false +YwaksZNPKkQ5_GxP-YbFHhs5foc ES suppresses @DISEASE$ progression by down-regulating @CHEMICAL$ signaling, revealing the possible mechanism of ES in the process of treating lung cancer patients. false +Z97HFxMW5-iNAII4ve3oRoI8zzg ES suppresses lung cancer progression by down-regulating @CHEMICAL$ signaling, revealing the possible mechanism of ES in the process of treating @DISEASE$ patients. false +EYwxdfOx3i3gXGVc0WB5lXOwBUs Additionally, we found that peripheral nerve @DISEASE$ behavioral and @CHEMICAL$ changes were significantly reduced by necrostatin-1. false +Fo11-WwbfAXrfyCBJLSsUjQ0Rrg Using an experimental infectious challenge model in healthy adults, norovirus @DISEASE$ elicited a time-limited inflammatory response associated with altered serum concentrations of certain @CHEMICAL$ and vitamin A biomarkers, confirming the need to consider adjustments of these biomarkers to account for inflammation when assessing nutritional status. false +7ogI01rZ2upNhWIOQypiOEMZBfc Using an experimental infectious challenge model in healthy adults, norovirus @DISEASE$ elicited a time-limited inflammatory response associated with altered serum concentrations of certain iron and @CHEMICAL$ biomarkers, confirming the need to consider adjustments of these biomarkers to account for inflammation when assessing nutritional status. false +WWrQCUVF0xDuNvlwkP5e_R9sXao Using an experimental @DISEASE$ challenge model in healthy adults, norovirus infection elicited a time-limited inflammatory response associated with altered serum concentrations of certain @CHEMICAL$ and vitamin A biomarkers, confirming the need to consider adjustments of these biomarkers to account for inflammation when assessing nutritional status. false +ZZTxyWdFoxu1HM5ltt5W82Amygo Using an experimental infectious challenge model in healthy adults, norovirus @DISEASE$ elicited a time-limited inflammatory response associated with altered serum concentrations of certain iron and vitamin A @CHEMICAL$, confirming the need to consider adjustments of these biomarkers to account for inflammation when assessing nutritional status. false +1yBsfvACpUtxJw4udSnIzs9fgPY Using an experimental @DISEASE$ challenge model in healthy adults, norovirus infection elicited a time-limited inflammatory response associated with altered serum concentrations of certain iron and vitamin A @CHEMICAL$, confirming the need to consider adjustments of these biomarkers to account for inflammation when assessing nutritional status. false +BgtkNUXopXRj1KZEfHljL-cLtO4 Using an experimental @DISEASE$ challenge model in healthy adults, norovirus infection elicited a time-limited inflammatory response associated with altered serum concentrations of certain iron and vitamin A biomarkers, confirming the need to consider adjustments of these @CHEMICAL$ to account for inflammation when assessing nutritional status. false +GdAk5ZJOJic4EDc2X6mFpIytxJA Using an experimental infectious challenge model in healthy adults, norovirus @DISEASE$ elicited a time-limited inflammatory response associated with altered serum concentrations of certain iron and vitamin A biomarkers, confirming the need to consider adjustments of these @CHEMICAL$ to account for inflammation when assessing nutritional status. false +Aq2cQNCEtXYSALBVENIQDnIkcFc Using an experimental @DISEASE$ challenge model in healthy adults, norovirus infection elicited a time-limited inflammatory response associated with altered serum concentrations of certain iron and @CHEMICAL$ biomarkers, confirming the need to consider adjustments of these biomarkers to account for inflammation when assessing nutritional status. false +iARBfIBu9EP35YybfFYK73EVOIs High GILT Expression and an Active and Intact MHC Class II @CHEMICAL$ Presentation Pathway Are Associated with Improved Survival in @DISEASE$. false +tM6GCg8BnAW5YbOJL7RxosXD_BM He underwent explorative laparotomy in emergency setting, and cholecystectomy was performed due to @CHEMICAL$ toxic clinical @DISEASE$. false +9a2P5iTllGNeD_HecZfnHYYJI5w A total of 72 @DISEASE$ patients (experimental group = 37, control @CHEMICAL$ = 35) who were currently receiving treatment and staying at home were enrolled. false +1HYRGsx-3_aA3yZJJWa1o76rmxI A total of 72 @DISEASE$ patients (experimental @CHEMICAL$ = 37, control group = 35) who were currently receiving treatment and staying at home were enrolled. false +bxp1aAHdSAuqhuWaAocB7z73NRk ≤ 0.01) in the serum of patients with @DISEASE$ considered as potential @CHEMICAL$ of the severityof psoriasis and control over their dynamics have prognostic significance in determining the effectiveness of the therapy. false +QfQrBN_eAsr6-CfZUsMn8ucO3fY ≤ 0.01) in the serum of patients with psoriasis considered as potential @CHEMICAL$ of the severityof @DISEASE$ and control over their dynamics have prognostic significance in determining the effectiveness of the therapy. false +DHsnrjhoDS-UiyxBXlhgmlXonzU Biological studies were remarkable for @CHEMICAL$ severe @DISEASE$ with low 25-hydroxyvitamin D and a paradoxically elevated 1,25-dihydroxyvitamin D. Early bronchoalveolar lavage allowed for PCP diagnosis and targeted treatment. false +nYVxEE2ZqW4cBJOKSweB-Y7Y0SQ Biological studies were remarkable for @CHEMICAL$ severe hypercalcemia with low 25-hydroxyvitamin D and a paradoxically elevated 1,25-dihydroxyvitamin D. Early bronchoalveolar lavage allowed for @DISEASE$ diagnosis and targeted treatment. false +Dg0dKlYnxkfgdzqBYom4GyGEb6k Moreover, with advanced technological developments in the medicinal plant research, medicinal plant @CHEMICAL$ such as Bowman-Birk protease inhibitor and Mistletoe Lectin-I are presently under clinical trials against prostrate @DISEASE$, oral carcinomas and malignant melanoma. false +ZHT-I-Jofar9qAFn6zT__LaVHLQ Moreover, with advanced technological developments in the medicinal plant research, medicinal plant @CHEMICAL$ such as Bowman-Birk protease inhibitor and Mistletoe Lectin-I are presently under clinical trials against prostrate cancer, oral carcinomas and @DISEASE$. false +scAEALpiKWZTF7cwOfrupR3Faks Moreover, with advanced technological developments in the medicinal plant research, medicinal plant proteins such as Bowman-Birk @CHEMICAL$ and Mistletoe Lectin-I are presently under clinical trials against prostrate cancer, oral carcinomas and @DISEASE$. false +WgYpl6ionib--paehYvqsvnNx10 Moreover, with advanced technological developments in the medicinal plant research, medicinal plant proteins such as Bowman-Birk @CHEMICAL$ and Mistletoe Lectin-I are presently under clinical trials against prostrate @DISEASE$, oral carcinomas and malignant melanoma. false +7crxIQmqacjMVy7L6FpxVtYxvY0 However, compared with the @CHEMICAL$ conversation condition, the RAPID-PFA group evidenced significantly lower state @DISEASE$ scores at postintervention and at 30-minute delay. false +jS4sujw6Dqh3AK0ruRmfmLJf6rM However, compared with the @CHEMICAL$ conversation @DISEASE$, the RAPID-PFA group evidenced significantly lower state anxiety scores at postintervention and at 30-minute delay. false +AJNwJmWqTCh8Gji4XJnsv6jC-FA However, compared with the group conversation condition, the RAPID-PFA @CHEMICAL$ evidenced significantly lower state @DISEASE$ scores at postintervention and at 30-minute delay. false +ytgRpzcavmte8KA13_NuFsnolFc However, compared with the group conversation @DISEASE$, the RAPID-PFA @CHEMICAL$ evidenced significantly lower state anxiety scores at postintervention and at 30-minute delay. false +bMFEImFCzNLPKn6kdbaeZVlijOo Neurovascular glucocorticoid receptors and glucocorticoids: implications in health, neurological @DISEASE$ and @CHEMICAL$ therapy. false +YU5gDJLvnpC-RAuuVACrNz_jZK4 Neurovascular glucocorticoid receptors and @CHEMICAL$: implications in health, neurological @DISEASE$ and drug therapy. false +YoBKq6bnusaSXeewpG3uq7BnFD8 Neurovascular @CHEMICAL$ receptors and glucocorticoids: implications in health, neurological @DISEASE$ and drug therapy. false +ZvhfK-bArgqxgX3CoNxy-8-Jrqo To the best of our knowledge, this may be the earliest case of @DISEASE$ with sphenoid metastases detected by 18-fluorodeoxyglucose @CHEMICAL$ computed tomography scan and a sporadic case of brain metastases reported in the world literature. false +Swe6rhaRb1l1xftj3xMWCnne32s To the best of our knowledge, this may be the earliest case of MPNST with sphenoid metastases detected by 18-fluorodeoxyglucose @CHEMICAL$ computed tomography @DISEASE$ and a sporadic case of brain metastases reported in the world literature. false +CTn1jo_RT2mcq65fy4nERFc0E9I Importantly, ompR mutations in Y. enterocolitica were more @DISEASE$ to @CHEMICAL$ B and sodium dodecyl sulfate than rcsB mutations. false +GWpOE2pWgroWY1suuo7xQ4RT28o Importantly, ompR mutations in Y. enterocolitica were more @DISEASE$ to polymyxin B and @CHEMICAL$ than rcsB mutations. false +9Ad-NfM4sFgCwJMsmJAzRRX8W-k The total health expenses were significantly higher in the @DISEASE$ @CHEMICAL$ 11 years before and 11 years after diagnosis than among controls. false +jZZZOgGDDaM3a3Cg2IGJRTMjh7c The samples are characterized using multiple techniques, including powder X-ray diffraction, @DISEASE$ exchange, thermogravimetric analysis, transmission electron microscopy, fast @CHEMICAL$ activation analysis, solid-state NMR spectroscopy, IR spectroscopy, and X-ray photoelectron spectroscopy. false +I1SCc9GL7BnwxA7luLHSArv5Fd8 The samples are characterized using multiple techniques, including powder X-ray diffraction, @DISEASE$ exchange, thermogravimetric analysis, transmission @CHEMICAL$ microscopy, fast neutron activation analysis, solid-state NMR spectroscopy, IR spectroscopy, and X-ray photoelectron spectroscopy. false +4UWAnh9TZ40pbNZMRQ05w8MuD6s The electronic record was utilized to determine if local @CHEMICAL$ was injected into the surgical @DISEASE$, the amount of narcotics administered over 48 h in four-hour intervals, and to obtain visual analog scale (VAS) pain scores associated with patients post-operative course in four-hour intervals. false +m2q3GM2UCj94aamy5uCkxmhu-uU @CHEMICAL$ emulsions stabilised by three HEUR polymers with different structural composition were examined in the absence and presence of @DISEASE$ by NMR spectroscopy and small-angle neutron scattering (SANS). false +UnEyJiZX4-bykKlrNTmyRbDu7qE Dodecane-in-water emulsions stabilised by three HEUR @CHEMICAL$ with different structural composition were examined in the absence and presence of @DISEASE$ by NMR spectroscopy and small-angle neutron scattering (SANS). false +Zxt2NP_sTCf6V92_CbsgSO6EHiU Dodecane-in-water emulsions stabilised by three HEUR polymers with different structural composition were examined in the absence and presence of @DISEASE$ by NMR spectroscopy and small-angle @CHEMICAL$ scattering (SANS). false +ErvcAP_75GsWnbi9bsdBShWKcyw The nano TMU-40 displayed very selective and @DISEASE$ in detection of @CHEMICAL$ derivatives. false +01A5SgVMJMsYRkIQ_GM3J9cn-Ns Effects of wine on @DISEASE$ pressure, @CHEMICAL$ parameters, and lipid profile in type 2 diabetes mellitus: A meta-analysis of randomized interventional trials (PRISMA Compliant). false +6-2OYdTsGYPedyE8RLhqQ56plkg Effects of wine on blood pressure, glucose parameters, and @CHEMICAL$ profile in @DISEASE$: A meta-analysis of randomized interventional trials (PRISMA Compliant). false +ozzGZ8TzVkCY1YClVYAdp1A84so Effects of wine on @DISEASE$ pressure, glucose parameters, and @CHEMICAL$ profile in type 2 diabetes mellitus: A meta-analysis of randomized interventional trials (PRISMA Compliant). false +ojmstbdhBwAAdydBICVW0tCBefc Effects of wine on blood pressure, @CHEMICAL$ parameters, and lipid profile in @DISEASE$: A meta-analysis of randomized interventional trials (PRISMA Compliant). false +bRgTjK-7UAPB9B_yiKVLOMLDkcA Silencing of @DISEASE$ in prostate cancer cells impaired @CHEMICAL$ bioenergetics, elevated reactive oxygen species (ROS) production, and promoted exaggerated mitochondrial dynamics. false +l02FKWbOpWPO99FGIe8Dq2sgFhU Silencing of IDH2 in @DISEASE$ cells impaired @CHEMICAL$ bioenergetics, elevated reactive oxygen species (ROS) production, and promoted exaggerated mitochondrial dynamics. false +Dd5SgcOiHMj7pgrWf4h-Esmz81M Silencing of IDH2 in @DISEASE$ cells impaired oxidative bioenergetics, elevated @CHEMICAL$ (ROS) production, and promoted exaggerated mitochondrial dynamics. false +ZBLkID912FpjB08MAmivcYwvcPk Silencing of @DISEASE$ in prostate cancer cells impaired oxidative bioenergetics, elevated @CHEMICAL$ (ROS) production, and promoted exaggerated mitochondrial dynamics. false +m-v6Ch1sKSDmFO92AXz9e1ibaFc The key findings in the VP-VLBW neonates were: (a) 37% of the VP-VLBW neonates had ultrasound brain abnormalities; (b) gestational age and birth weight collectively with hospital course (i.e., days in hospital, neonatal intensive care, mechanical ventilation and with @CHEMICAL$ therapy, surgeries, and @DISEASE$) predicted ultrasound brain abnormalities. false +3A_igDUrSc6O3YKenVQFKWUhojQ This commentary asks another question, one only more recently addressed namely, what is the physiologic function of the @DISEASE$ precursor @CHEMICAL$ (APP) and of its secretase-generated soluble species? false +z18s1h7u6wFJ0QE3w5fsZveplAY DβH @CHEMICAL$, which is found in circulation, can, therefore, be evaluated as a marker of norepinephrine function in a plethora of different @DISEASE$ and diseases. false +8BMpWQ1XlnsnabWrtJRfgXMLn8M DβH @CHEMICAL$, which is found in circulation, can, therefore, be evaluated as a marker of norepinephrine function in a plethora of different disorders and @DISEASE$. false +pYnDVAw-2SuRRZwBDNHvzEd2TAw Since the @CHEMICAL$ minibeams widen with depth, the homogeneous irradiation of a @DISEASE$ can be ensured by adjusting the beam distances to tumor size and depth to maintain tumor control as in conventional proton therapy. false +k7ESCU9rHtDDHaDgneU_88N40xw Since the @CHEMICAL$ minibeams widen with depth, the homogeneous irradiation of a tumor can be ensured by adjusting the beam distances to @DISEASE$ size and depth to maintain tumor control as in conventional proton therapy. false +e0ljfD2Iw1hBiWLK3dvG2sGh9q4 Since the proton minibeams widen with depth, the homogeneous irradiation of a @DISEASE$ can be ensured by adjusting the beam distances to tumor size and depth to maintain tumor control as in conventional @CHEMICAL$ therapy. false +H6Dw3CUtN1dBKuktjoZpJzVL6B0 Since the proton minibeams widen with depth, the homogeneous irradiation of a tumor can be ensured by adjusting the beam distances to @DISEASE$ size and depth to maintain tumor control as in conventional @CHEMICAL$ therapy. false +UqN8eiD6TdBa6mT9IlmUZz4VOAw Since the @CHEMICAL$ minibeams widen with depth, the homogeneous irradiation of a tumor can be ensured by adjusting the beam distances to tumor size and depth to maintain @DISEASE$ control as in conventional proton therapy. false +VpirxFNBG38DC0_HuggKFrR2sx4 Since the proton minibeams widen with depth, the homogeneous irradiation of a tumor can be ensured by adjusting the beam distances to tumor size and depth to maintain @DISEASE$ control as in conventional @CHEMICAL$ therapy. false +4jdv-GdCube5hg1_oMab1f6-41I Especially, the @DISEASE$ stage II CRAC patients are recommended to receive @CHEMICAL$ chemotherapy. false +wssBUshUomsV2wsACgwCopkwLxY These results show that @CHEMICAL$ of p21 gene has a significant impact on the proliferation of osteoblasts during the development of @DISEASE$. false +srnjFVO6qLHqX08zx0XHwbZkkoE The objective of this study was to investigate the effects of @DISEASE$ and coal ash inhalation within the parameters of @CHEMICAL$ damage and inflammation in different regions of the brain of rats. false +nXF2D09r5x9IWVfDut6iFc7zEtk Topical @CHEMICAL$ is an acceptable treatment option for patients with @DISEASE$ maligna who prefer topical treatment to surgery or radiotherapy. false +JnBHt3Tl0pskHpvPGPnV26IQdSM The main objective of this study was to examine the combined effect of @DISEASE$ and parity on pregnancy loss (PL) in @CHEMICAL$ Holstein cows. false +uvkOLpYhK6dPXzG8TtgRNk8UKKI Patients from 3 randomized, double-blind, placebo-controlled studies who @CHEMICAL$ DSM-IV-TR or DSM-5 criteria for @DISEASE$ with a current major depressive episode were identified to have concurrent manic symptoms by baseline Young Mania Rating Scale total score ≥4. false +CNztR5iUtF9BFBKXO5D4coUN140 Diabetic ketoalkalosis (DKAlk) was first described in 1967 as a @DISEASE$ complication of diabetic ketoacidosis with normal or elevated pH/bicarbonate and elevated @CHEMICAL$ gap (AG) from high β-hydroxybutyrate (BHB). false +RSZxDbDOJiriVjGBQC9JvX_t188 Diabetic ketoalkalosis (DKAlk) was first described in 1967 as a rare complication of @DISEASE$ with normal or elevated pH/bicarbonate and elevated @CHEMICAL$ gap (AG) from high β-hydroxybutyrate (BHB). false +wj3L8tDKkpI2vhCSheWqVN0f6rc Interestingly, analysis of new and previously published data reveals @DISEASE$ suppressor genes are drug-agnostic resistance genes in @CHEMICAL$ modifier screens. false +rz2bSmFvpbJc2QL4FY4gCmyBN_o Interestingly, analysis of new and previously published data reveals tumor suppressor genes are drug-agnostic resistance genes in @CHEMICAL$ @DISEASE$ screens. false +l4OuCkq2wt1BluRsn5iNb7JcN20 Interestingly, analysis of new and previously published data reveals @DISEASE$ suppressor genes are @CHEMICAL$ resistance genes in drug modifier screens. false +5549J6pFGaxDmgcxSYlDf23GCZg Interestingly, analysis of new and previously published data reveals tumor suppressor genes are @CHEMICAL$ resistance genes in drug @DISEASE$ screens. false +KqFMimcJ7eeHmSfT76GV1W8lLPs High @DISEASE$ C-reactive @CHEMICAL$ (2.80±1.2 vs. 2.21±1.2 false +OnlluWhtCgMVI6-50V4jGaQx8mw The occurrence of asymptomatic autoimmune @CHEMICAL$ (AITD) in obese adolescents is more @DISEASE$ than in the general population. false +o0sYmXawi8AK3oi7-40lJcqN0gw We formed two groups: Group I had 70 patients who had thrombosis after aesthetic plastic surgery and @CHEMICAL$ II had 82 patients without @DISEASE$. false +9jKaYHkNgkfkMbKp0YHDtiKg2Rk We formed two groups: Group I had 70 patients who had @DISEASE$ after aesthetic plastic surgery and @CHEMICAL$ II had 82 patients without thrombosis. false +fGqiu9Fl9DcUqP4eRQk9iyRfbkM The difference in the @CHEMICAL$ mechanism of these @DISEASE$ has not been comprehensively analyzed, yet; and is addressed in this study. false +kvbnmSy5N5A4XZc_5iof88IYtw0 Effects of @CHEMICAL$ in a Mediterranean Diet on Symptoms of @DISEASE$: A Systematic Literature Review. false +VoJpq65cf6DsyQaPbwMPdSAvfzs PITUITARY IMAGING BY MRI AND ITS CORRELATION WITH @CHEMICAL$ PARAMETERS IN THE EVALUATION OF @DISEASE$ WITH HYPOGONADOTROPIC HYPOGONADISM. false +gKaO2LXulQQ3L9LF9rh8Z3Uez3k @DISEASE$ IMAGING BY MRI AND ITS CORRELATION WITH @CHEMICAL$ PARAMETERS IN THE EVALUATION OF MEN WITH HYPOGONADOTROPIC HYPOGONADISM. false +uz1oXqvVUVaa14jbYoo9LH2MZ6c PITUITARY IMAGING BY MRI AND ITS CORRELATION WITH @CHEMICAL$ PARAMETERS IN THE EVALUATION OF MEN WITH @DISEASE$ false +Db17KCZAlHOEVCkMe6AjKSGXuas CONCLUSION: In the literature, there are several case series about this topic, with some of them reporting unusual foreign bodies that @CHEMICAL$ to penetrating @DISEASE$. false +jeFLpFB4IaVd6-_zRoT2svFXjoM Discovery and Lead-Optimization of 4,5-Dihydropyrazoles as @DISEASE$ Selective, Orally Bioavailable and Efficacious @CHEMICAL$ of Receptor Interacting Protein 1 (RIP1) Kinase. false +ukPtkw9xS_ifQY42oikL3EeFTDE Discovery and Lead-Optimization of 4,5-Dihydropyrazoles as @DISEASE$ Selective, Orally Bioavailable and Efficacious Inhibitors of Receptor Interacting @CHEMICAL$ 1 (RIP1) Kinase. false +Llc6dMh5KxMa0Df1V7bPOq4E87M In this review, we will provide a broad picture on the @CHEMICAL$ of p63, in maintaining the basal epithelial identity, as well as its involvement in @DISEASE$ progression, emphasizing its relevance in tumor cell invasion and stemness. false +nwIJuVVQdizFAvf-j-4LUKNuBCQ In this review, we will provide a broad picture on the @CHEMICAL$ of p63, in maintaining the basal epithelial identity, as well as its involvement in breast cancer progression, emphasizing its relevance in @DISEASE$ cell invasion and stemness. false +Ep2yKngIaPl-EeCjj7MXDulYUPo The adipokine vaspin reduces apoptosis in human @DISEASE$ (Hep-3B) cells, associated with lower levels of NO and @CHEMICAL$ anion. false +SWkJ6d7PPZai5P7gp5AJ_szmrAQ The adipokine vaspin reduces apoptosis in human hepatocellular carcinoma (@DISEASE$) cells, associated with lower levels of NO and @CHEMICAL$ anion. false +qtMmAIIn0mhB2jXsVuNR6dLLtVI The adipokine vaspin reduces apoptosis in human hepatocellular carcinoma (@DISEASE$) cells, associated with lower levels of NO and superoxide @CHEMICAL$. false +HUunsPml9dLAXAK5WV5mCrDLqwc The adipokine vaspin reduces apoptosis in human @DISEASE$ (Hep-3B) cells, associated with lower levels of NO and superoxide @CHEMICAL$. false +8IArCAQ0mngvdtZLhelN9BGHuW0 All cases were subsequently treated with chloroquine and @CHEMICAL$, with cure of clinical @DISEASE$ and documented clearance of parasitaemia. false +pAa6qBGMb5liWVbrrMj8mTxUqkI All cases were subsequently treated with @CHEMICAL$ and primaquine, with cure of clinical @DISEASE$ and documented clearance of parasitaemia. false +CqjfSkR9-4TEqesjgEWX8sDJinw Between 2011 and 2014, clopidogrel remained the most common P2Y12-I whereas @CHEMICAL$ and prasugrel remained underutilized in @DISEASE$ patients. false +a2atKxMAG5JXH-EfxO4yvbInjqA Between 2011 and 2014, clopidogrel remained the most @DISEASE$ P2Y12-I whereas @CHEMICAL$ and prasugrel remained underutilized in ESRD patients. false +ZiNgtciXxOea_IzI15DZTwUppco Between 2011 and 2014, @CHEMICAL$ remained the most common P2Y12-I whereas ticagrelor and prasugrel remained underutilized in @DISEASE$ patients. false +8wXFUtDASaGmvmrmDQq8TQ9pCWs Between 2011 and 2014, @CHEMICAL$ remained the most @DISEASE$ P2Y12-I whereas ticagrelor and prasugrel remained underutilized in ESRD patients. false +XFmhRO0g3TYEK-SG_27FVo1h0NA Intracranial migration of intraocular @CHEMICAL$ oil following repetitive head @DISEASE$. false +bKUvNFaBJpQXerMRkHx_5cXRm_Q On opening of the eye, subjects with @DISEASE$ showed significantly cooler temperatures in the central cornea compared to the control @CHEMICAL$. false +s-D8DOIe9Pkw0UG3WX6kSkZtto4 The present study explores the relationship between systemic inflammation and brain circuitry supporting @CHEMICAL$ hedonics for individuals with @DISEASE$ false +MEdFddXYRQ2L_70J6ZlAl6Cb65A We sought to determine the clinical efficacy and safety of the mTOR/TORC1 inhibitor @CHEMICAL$ in men with high-risk @DISEASE$ undergoing radical prostatectomy. false +AFiq4jDC48zrFxxrOVYIJKO8j1k We sought to determine the clinical efficacy and safety of the mTOR/TORC1 inhibitor everolimus in @DISEASE$ with high-risk prostate cancer undergoing @CHEMICAL$ prostatectomy. false +8PNyP4r4_T1SGcNIreSxU14fPDo We sought to determine the clinical efficacy and safety of the mTOR/TORC1 inhibitor @CHEMICAL$ in @DISEASE$ with high-risk prostate cancer undergoing radical prostatectomy. false +YBUrQOSPG9M9XYtgmQFFIoPLt5U We sought to determine the clinical efficacy and safety of the mTOR/TORC1 @CHEMICAL$ everolimus in men with high-risk @DISEASE$ undergoing radical prostatectomy. false +erhhJPbyXXU4--KO1ADeBYfcsGo We sought to determine the clinical efficacy and safety of the mTOR/TORC1 inhibitor everolimus in men with high-risk @DISEASE$ undergoing @CHEMICAL$ prostatectomy. false +CwhSayLNnovlj1iTVt7uhhBXBu4 We sought to determine the clinical efficacy and safety of the mTOR/TORC1 @CHEMICAL$ everolimus in @DISEASE$ with high-risk prostate cancer undergoing radical prostatectomy. false +qXvwyMhXw6DYLeGZCmh3AW0CobM High Lp(a) (@CHEMICAL$) cause @DISEASE$ (CVD) in a primary prevention setting; however, it is debated whether high Lp(a) lead to recurrent CVD events. false +LT2lvBvTi-43DkDlgCphsWaLV7Q High Lp(a) (lipoprotein[a]) cause @DISEASE$ (CVD) in a primary prevention setting; however, it is debated whether high Lp(a) @CHEMICAL$ to recurrent CVD events. false +JP--nHs81g5uuizCUZEpBGO5ykI Existing large gene expression data repositories hold enormous potential to elucidate @DISEASE$ mechanisms, characterize changes in cellular pathways, and to stratify patients based on @CHEMICAL$ profiles. false +Q5RPTH_8LgFkly8FHF8BEiorcCY This systematic review supports that a @CHEMICAL$ intake above the current RDA may reduce @DISEASE$ risk and may play a beneficial role in BMD maintenance and loss in older adults. false +qHJGfQjIT3Qacwh637PrrwOkgtw This systematic review supports that a @CHEMICAL$ intake above the current RDA may reduce hip fracture risk and may play a beneficial role in @DISEASE$ maintenance and loss in older adults. false +GZOrn55wufLRDGKgvj5ne8SF8kU Dysregulation in the extracellular matrix (ECM) microenvironment surrounding the @CHEMICAL$ pigment epithelium (RPE) has been implicated in the etiology of proliferative vitreoretinopathy and @DISEASE$. false +KYwSDZ5s7E7ba0Ab0B6PKHhgN6Y Dysregulation in the extracellular matrix (ECM) microenvironment surrounding the @CHEMICAL$ pigment epithelium (RPE) has been implicated in the etiology of @DISEASE$ and age-related macular degeneration. false +hYA7yeKoDZTo4Ej7TNj9-eHOaU4 The metabolic modulation induced by overproduction of human mutated @DISEASE$ precursor @CHEMICAL$ (APP) clearly differs between both time points. false +aMXBu41w2S0XRMTXbLUdncLLKWw First-Time-in-Human Study and Prediction of Early Bactericidal Activity for GSK3036656, a Potent @CHEMICAL$ Synthetase Inhibitor for @DISEASE$ Treatment. false +mvK55WPNE6RfTuitnMSi23_ER3M First-Time-in-Human Study and Prediction of Early Bactericidal Activity for GSK3036656, a Potent Leucyl-tRNA @CHEMICAL$ for @DISEASE$ Treatment. false +6FGAikVD7Le_teaWsI81mXH-9y8 A. citreus was also suitable for degradation of caprolactam in presence of low phosphate as prevalent in soil, and in @DISEASE$ soil without the supplementation of any other @CHEMICAL$ or nitrogen, as well as in native non sterile soil where other microorganisms are present. false +OP64ltqQAFfSYBgn4dF_-sLIb88 A. citreus was also suitable for degradation of caprolactam in presence of low phosphate as prevalent in soil, and in sterile soil without the supplementation of any other carbon or @CHEMICAL$, as well as in native non @DISEASE$ soil where other microorganisms are present. false +CZe6yCLIzcvNsI4LEfQXDtJmOnQ A. citreus was also suitable for degradation of @CHEMICAL$ in presence of low phosphate as prevalent in soil, and in @DISEASE$ soil without the supplementation of any other carbon or nitrogen, as well as in native non sterile soil where other microorganisms are present. false +uL1pPKplg6MYRyhj-PfdEObi7CU A. citreus was also suitable for degradation of caprolactam in presence of low @CHEMICAL$ as prevalent in soil, and in sterile soil without the supplementation of any other carbon or nitrogen, as well as in native non @DISEASE$ soil where other microorganisms are present. false +YKm6vTqA9kzNYKV0R1GaCYAEhDU A. citreus was also suitable for degradation of @CHEMICAL$ in presence of low phosphate as prevalent in soil, and in sterile soil without the supplementation of any other carbon or nitrogen, as well as in native non @DISEASE$ soil where other microorganisms are present. false +miyX97w0WR2L3BHTKVFoTCvqiCo A. citreus was also suitable for degradation of caprolactam in presence of low phosphate as prevalent in soil, and in sterile soil without the supplementation of any other @CHEMICAL$ or nitrogen, as well as in native non @DISEASE$ soil where other microorganisms are present. false +TJO-WdUQpCL0ZzmMNRoon3XOJF0 A. citreus was also suitable for degradation of caprolactam in presence of low phosphate as prevalent in soil, and in @DISEASE$ soil without the supplementation of any other carbon or @CHEMICAL$, as well as in native non sterile soil where other microorganisms are present. false +8N3iJj6-_e7she9C3E3CiZdQsg8 A. citreus was also suitable for degradation of caprolactam in presence of low @CHEMICAL$ as prevalent in soil, and in @DISEASE$ soil without the supplementation of any other carbon or nitrogen, as well as in native non sterile soil where other microorganisms are present. false +CjTQ1ZZfH4L4fdT7GBto3TmKF2I metabolite (PGFM), and @DISEASE$ ionized @CHEMICAL$ (iCa) near term and in dystocia. false +Yr-U6GVT9H7J2Bu0n0h-zCtlGB0 @CHEMICAL$ (PGFM), and blood ionized calcium (iCa) near term and in @DISEASE$. false +qIKoRH4yKwNx9oH9F1b9sxxNV5c metabolite (PGFM), and blood ionized @CHEMICAL$ (iCa) near term and in @DISEASE$. false +9vmfi4iWgIyPFQPA5MH4J90wnw0 @CHEMICAL$ (PGFM), and @DISEASE$ ionized calcium (iCa) near term and in dystocia. false +phwtjQGk0ww32BRXtAYpRoTf-s4 Participants with normal cognition, mild cognitive impairment, and AD were selected from the @DISEASE$ Neuroimaging Initiative databank, based on baseline measures of plasma cortisol, gray matter volume (n = 556), and cerebral @CHEMICAL$ metabolism (n = 288). false +_Kbi90bJsLO5AwrFYHiwygfSQJc Participants with normal cognition, mild cognitive impairment, and AD were selected from the @DISEASE$ Neuroimaging Initiative databank, based on baseline measures of plasma @CHEMICAL$, gray matter volume (n = 556), and cerebral glucose metabolism (n = 288). false +EKQ0cTpRvPZ-42b6TGrl6AP8n6c Variability in standard-of-care classifications precludes accurate predictions of early @DISEASE$ recurrence for individual patients with meningioma, limiting the appropriate selection of patients who would benefit from @CHEMICAL$ radiotherapy to delay recurrence. false +3OKRTyZqmXLCb6hWFudk7Q224bQ Variability in standard-of-care classifications precludes accurate predictions of early tumor recurrence for individual patients with @DISEASE$, limiting the appropriate selection of patients who would benefit from @CHEMICAL$ radiotherapy to delay recurrence. false +tUtiov-0Z3WxXlI482E0womR-Sk Comparison of surgical, oncological, and functional outcomes of robot-assisted and laparoscopic @CHEMICAL$ prostatectomy in patients with @DISEASE$. false +qZ5Sckz2BOhp893o0Qnjx4A8YAc Herein, we developed a framework known as the consistently differential expression network to identify @DISEASE$ (TB)-related gene pairs by combining microarray profiles and @CHEMICAL$ interactions. false +4QxdLaLRP8BLDarcNAz8o6QatmE As a prerequisite for stable @DISEASE$ operation, a constant pH is maintained by automated addition of @CHEMICAL$. false +R-jR5nBYJvp3Z5wR5rm_1hlxgwg In this article, we discuss the phenotype resulting from the interaction of Hb Peterborough and Hb LBW and emphasize the importance of @CHEMICAL$ testing in the diagnosis of @DISEASE$ Hb variants. false +21KBpAhyhDeLs_0-JkO6UFI0bAg Meanwhile, a series of @CHEMICAL$ evaluations demonstrated that the @DISEASE$ exhibited remarkable ability to overcome MDR compared with free DOX and HMSNs-PDA-PEG@DOX. false +P7W8X18WQzkIbV62yKgQd1noh3Y Meanwhile, a series of @CHEMICAL$ evaluations demonstrated that the HMSNs-PDA-PEG@QD exhibited remarkable ability to overcome MDR compared with free DOX and @DISEASE$. false +cKvZOcXiP_oMlmH9XsAUxCKsmZ0 A suitable @CHEMICAL$ should allow predicting the severity of the @DISEASE$ in a simple and opportune manner and should ideally be obtained from non-invasive samples. false +087_61on9jJmbn6ADDzpdPIsb5E The inherited neuropathies are a @DISEASE$ and heterogeneous @CHEMICAL$ of slowly progressive disorders affecting motor, sensory, and autonomic nerves. false +tpK9mN8CBgiZA7OfQSZYBRBuJk4 The inherited neuropathies are a common and heterogeneous @CHEMICAL$ of slowly progressive @DISEASE$ affecting motor, sensory, and autonomic nerves. false +oc9sqNjPKL2kJl6K4PEgwBisV30 The @DISEASE$ neuropathies are a common and heterogeneous @CHEMICAL$ of slowly progressive disorders affecting motor, sensory, and autonomic nerves. false +Z0IvOAG0m8vYqJRFzCZgfdeRoIU This study investigated the anti-inflammatory effect of @CHEMICAL$ in an experimental model of @DISEASE$. false +t7qbibQ_XWIKWhgu4xAiqJHcyrE Subsequently, microRNA-424-5p mimics and @CHEMICAL$ were transfected into @DISEASE$ cells to construct microRNA-424-5p overexpression or knockdown models, respectively. false +znSGwstY215FDtEAFKmZexUhdyg HER3 mediates @CHEMICAL$ resistance against epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs), resulting in @DISEASE$ relapse in lung cancers. false +qMTWh8560RI7ytFMK7NfQdENPu8 HER3 mediates drug resistance against epidermal growth factor receptor (@CHEMICAL$ kinase inhibitors (TKIs), resulting in @DISEASE$ relapse in lung cancers. false +4-0iJeN-Q4dbElLCs3ZqQnGPqPM HER3 mediates drug resistance against epidermal growth factor receptor (@CHEMICAL$ (TKIs), resulting in @DISEASE$ relapse in lung cancers. false +brO1eKMwnvaDtdcSRiQIIlkRyY4 Targeting Autophagy by MPT0L145, a Highly Potent PIK3C3 @CHEMICAL$, Provides Synergistic Interaction to Targeted or Chemotherapeutic Agents in @DISEASE$ Cells. false From 3751e6bf5b5b35f4510d0f55a836fcbb8e0dfc10 Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Sat, 25 Sep 2021 11:17:34 -0600 Subject: [PATCH 3/7] Update bert-models-cicd.yaml --- .github/workflows/bert-models-cicd.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/bert-models-cicd.yaml b/.github/workflows/bert-models-cicd.yaml index b4af00a3..71d39580 100644 --- a/.github/workflows/bert-models-cicd.yaml +++ b/.github/workflows/bert-models-cicd.yaml @@ -99,7 +99,7 @@ jobs: build_push_train-bl_chemical_to_disease_or_phenotypic_feature-train: name: "build/push/train bl_chemical_to_disease_or_phenotypic_feature model" - needs: "build_push-bert-base" + # needs: "build_push-bert-base" runs-on: ubuntu-latest env: TASK_NAME: bl_chemical_to_disease_or_phenotypic_feature From d04ccdb2f0a353c7a1f960fad20cb840b74c72ee Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Sat, 25 Sep 2021 14:42:40 -0600 Subject: [PATCH 4/7] Update bert-models-cicd.yaml --- .github/workflows/bert-models-cicd.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/bert-models-cicd.yaml b/.github/workflows/bert-models-cicd.yaml index 71d39580..ae0fc69c 100644 --- a/.github/workflows/bert-models-cicd.yaml +++ b/.github/workflows/bert-models-cicd.yaml @@ -216,7 +216,7 @@ jobs: contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) run: | sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - timeout-minutes: 180 + timeout-minutes: 1800 # -------------------------------------------------------------------------------------- # # BUILD/PUSH BL_CHEMICAL_TO_DISEASE_OR_PHENOTYPIC_FEATURE CLASSIFICATION CONTAINER IMAGE # From 7a3b8cc974434dae6ef71f3543756064312279f6 Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Sat, 25 Sep 2021 17:18:07 -0600 Subject: [PATCH 5/7] Update data.tsv add Larry's annotations --- .../data.tsv | 203 ++++++++++++++++++ 1 file changed, 203 insertions(+) diff --git a/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv b/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv index 2a994d95..e38e808a 100644 --- a/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv +++ b/data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv @@ -3577,3 +3577,206 @@ znSGwstY215FDtEAFKmZexUhdyg HER3 mediates @CHEMICAL$ resistance against epiderma qMTWh8560RI7ytFMK7NfQdENPu8 HER3 mediates drug resistance against epidermal growth factor receptor (@CHEMICAL$ kinase inhibitors (TKIs), resulting in @DISEASE$ relapse in lung cancers. false 4-0iJeN-Q4dbElLCs3ZqQnGPqPM HER3 mediates drug resistance against epidermal growth factor receptor (@CHEMICAL$ (TKIs), resulting in @DISEASE$ relapse in lung cancers. false brO1eKMwnvaDtdcSRiQIIlkRyY4 Targeting Autophagy by MPT0L145, a Highly Potent PIK3C3 @CHEMICAL$, Provides Synergistic Interaction to Targeted or Chemotherapeutic Agents in @DISEASE$ Cells. false +548c953605b79ad1d716ba59e86d332f617a93ca7097bde3d512fccf6c13c64e We define roles for TNTs in stress adaptation and treatment resistance in @DISEASE$ (@CHEMICAL$). false +53601c65f04341af993e6d7ee9cc771ea9937638f585329300edb6dafda69e12 We identified a de novo c.508C>T (p.@CHEMICAL$170Trp) variant in AP2M1 in two individuals with a phenotypic similarity that was higher than expected by chance (p = 0.003) and a phenotype related to @DISEASE$. false +812d05dce3a61f15af69eb8d7d6372b5a0f06df39fa3de0a77e24b7b70ce1555 Treatment with the five isosteroid alkaloids in appropriate concentrations could reduce the production of @CHEMICAL$ (NO), @DISEASE$ necrosis factor α (TNF-α) and interleukin-6 (IL-6) in supernatant, and suppressed the mRNA expressions of TNF-α and IL-6. false +dd4652da4da3edb85c2acf43d60eaaf72476c8334627f57157ebfb446fb62a20 Ceruloplasmin deficiency does not induce macrophagic @CHEMICAL$ overload: lessons from a new rat model of hereditary @DISEASE$. false +43f6a03bb10591d5dd3ed770e652fbea32f68a19d06fc33ce43f92b677fa20c8 Atypical antipsychotic use during pregnancy was more common among women with pre-pregnancy @DISEASE$, and women who reported illicit @CHEMICAL$ use before and during pregnancy, smoking during pregnancy, alcohol use during pregnancy, or use of other psychiatric medications during pregnancy. false +5226e07a64a5016cb69c9a600d14e1bd2699e4eebaa9c884c6a696b8f738f056 The markers of @CHEMICAL$ sufficiency or availability of iron are far from perfect which results in inaccurate diagnosis and treatment of @DISEASE$ with poor outcomes. false +27fa21da5922a8c3b0e4b82f2c328670567b44ae441177da024fe4cff7aa92ea This review was performed at PubMed, SCOPUS and Web of Science data-bases using keywords "propofol', "microRNA", "@DISEASE$ therapy", "@CHEMICAL$ + microRNA" and "propofol + miR". false +a56faec33f527dbb108138bcb66f6c303120cde5d02e85bff2b8af1c8614b59e @CHEMICAL$ Use in the Treatment of Acute Cardiogenic @DISEASE$ and Its Effects on Patient Outcome: A Systematic Review. treats +be8799886340b4a5443ac79d9bf642772db8c9fabdd3fe190f3fd6a298543aa0 Finally, the ongoing MIdazolam versus MOrphine in acute cardiogenic @DISEASE$ (MIMO) trial was specifically designed to compare the results of morphine use versus @CHEMICAL$. treats +06d018974d305a1982ddc572f269101c323b28190dcb609069007d47c72e0cbc Delivery outcomes revealed that @CHEMICAL$ exposure resulted in one baby with @DISEASE$, one postnatal exitus with cardiac dysfunction, and one therapeutic abortion. treats +a1a55984b2ee3f67cc2c3624e2f8375635058b695068b65375da7394e6c61230 This review, thus, discussed the effects of @CHEMICAL$ on pathways involved in @DISEASE$, such as hemostatic process, inflammatory pathway, and endothelial cell activation, with a focus on the molecular mechanisms associated with them. false +6014432bc956e930a0f2160cbb06f26bdabd162fe40ad71df6919edd77886085 However, the direct effects of @CHEMICAL$ particles to @DISEASE$ cells, which can be found in the MPE fluids from lung cancer patients, are not fully understood. contributes_to +e073ca8715ab82ec973298247d77dd3fd9bd923c04502411bb5b3da584963db3 ASNC/@CHEMICAL$/ASE/EANM/HFSA/ISA/SCMR/SNMMI expert consensus recommendations for multimodality imaging in cardiac @DISEASE$: Part 1 of 2-evidence base and standardized methods of imaging. false +7470fc0bfe332a6e01f563b0d90e173259d9c688a58b2b99ce4a9dde389c64ff In previously reported cases, maximum @CHEMICAL$ daily doses of 30 mg in nondialysis patients and 25 mg in patients with @DISEASE$ receiving hemodialysis were reported. false +c942f4203f8039a516f7565ed05243e1f6d162e3592edaee984dfcd43a8f8612 Considering the changes in the expression levels of these miRNAs after three and six months, it seems that these miRNAs, especially egr-miR-71, could serve as novel promising @CHEMICAL$ for the early diagnosis and monitoring of @DISEASE$. false +90cc0911e8b7da3b9ffd490bb35c6309d8c31ebc77298cf39e54f7635a5c32d5 Here, using clinical samples, patient-derived xenograft (PDX) samples, @CHEMICAL$ cells, and primary/metastatic cell lines, we discovered that liver metastatic @DISEASE$ (CRC) cells lose their colon-specific gene transcription program yet gain a liver-specific gene transcription program. false +951f1395db7ebeca104607676359d5d36aa6592a1b626fd95496d11a9b6321bc No clear evidences emerged comparing @CHEMICAL$ and BMS; however, DES were shown to fare better than @DISEASE$ in terms of TLR when analyzing lesions <15 cm (OR 0.36, 95% CI: 0.35-0.36). false +d6e212f03e23f04876f6ed1962242837fb87f0c72531ead43005ecae42b5696d The 4-gene segregating population exhibited a @DISEASE$ @CHEMICAL$ variation with more than 95 days under NLD and 42 days under NSD conditions. false +8b0a0ef08adb31f144fb2ab17812ce294db38721df73f0e52504eb95b85530f1 Poor cellular uptake and low therapeutic efficacy of small-molecule antitumor drugs limit the application of @CHEMICAL$ delivery systems (DDSs) in @DISEASE$ therapy. treats +3a93ab12e4d24194d87853ce7c0620c7b2016db4b29bd68837535432a3064994 A conformational change of the Antp mimetic peptide (AMP) in @DISEASE$ microenvironments can greatly increase the cellular uptake as well as control drug release from a @CHEMICAL$. false +39089da959ad88275603a1e6057474d52c656936f7d8105540e17dd1e0ce6108 Glomerular filtration rates, graft loss, tacrolimus level, antibody-mediated rejection, T cell-mediated rejection, @DISEASE$, fungal infection (candida), and patient survival rates did not differ between the @CHEMICAL$ and control groups. treats +3dcc06659ad659131ff22f4427344c8b4b04b540a45e0df254ba0ecf5a701ee8 Cabergoline is a dopamine @CHEMICAL$ that has been used as the first-line treatment option for prolactin-secreting @DISEASE$ adenomas for several decades. false +015e87d3ab4a99142e61fda85ecb40928f521c8bbf84bdec18a3b8a838cdcdf0 We further demonstrate that the combination of FeNP-based MHT with local injection of nanoadjuvant and systemic injection of anticytotoxic T-lymphocyte @CHEMICAL$-4 (anti-CTLA4) checkpoint blockade would result in systemic therapeutic responses to inhibit @DISEASE$ metastasis. treats +13c46809712aba144a5c29736fcda3c861451bc3a3c93bb79d11e989eee77500 Of the 14 risk factors identified in multivariable analysis, 10 (age, prematurity, American Society of Anesthesiologists physical status, inpatient status, operative time >120 minutes, cardiac disease, @DISEASE$, hematologic disorder, @CHEMICAL$ supplementation, and nutritional support) were included in the final multivariable logistic regression model to create the risk score. false +1f13dfe69a3ad7a4d59644fb89bbb0c618bbd1763939fca917a03143a781b982 From the first discovery of HIF-2α inhibitors to the promising potency of the HIF-2α @CHEMICAL$ PT2977 in a clinical Phase II trial for the treatment of advanced RCC, inhibition of HIF-2α has proved to be a novel and effective therapy for @DISEASE$. treats +081a5d6aeb5e6d67db87cea829bca2e20a82e31c32466ef08f0102d7eff87009 Our results showed that MLB markedly attenuated kidney @DISEASE$ and apoptosis in 5/6 (A/I) model rats with @CHEMICAL$. false +e34663555057d6cdcfa63cd97a530f545dd8971cb7f43d4170cc8705edc8c224 Further prospective controlled trials should be conducted to investigate the feasibility of @CHEMICAL$-guided resection of pediatric @DISEASE$. false +d3930451a562023418a0d282c9229c10b230c6a722b9684797df4e489fdeb971 Eventually, the delivery of @CHEMICAL$ was highly enhanced through the normalized @DISEASE$ vasculature, thus resulting in profound anti-tumor and anti-metastatic effects. treats +a2aefc3d26cb0552fa1d8c80e58b6f08d9b7a8aa4353fb5296aaf4bf73f60051 At the end of follow-up, 8.8% of patients progressed to @DISEASE$, the average estimate values of hepatitis B virus DNA and @CHEMICAL$ aminotransferase demonstrated a downward trend, the aspartate aminotransferase/alanine aminotransferase ratio showed a flat trend overall. false +efb572ab63d043d63b1ed98745e91829313baf6d9cd8873f5763b41e1483e24f @CHEMICAL$ (RR), a Chinese herbal formulation was found to exhibit numerous therapeutic properties including its potent effect against @DISEASE$ cell lines. treats +de5df2dd6f07e753f809d1f2399cc60dca8ccbf992de613750d1fb3f3813945c The aim of the present study was to investigate the effect of a micronized formulation of @CHEMICAL$ in humans with @DISEASE$ (NAFLD). treats +9d0049d8c8109035bb9cfe71a67e4ce487cabdd33bf379707740bfef93f8b063 [A comparative evaluation of the effect of soy protein and its @CHEMICAL$ hydrolysate on lipid metabolism in male Wistar rats with induced @DISEASE$]. treats +8847e109db8eea18e5ac1f5960cbfaa656b5435731d5455c8a3f42fe65d57415 as a novel @CHEMICAL$-responsive nanosystem for combating drug-resistant @DISEASE$. treats +34891967bd03248db0c0920721e13a267bbfde7404b4fdd24c768cdededf6125 We will discuss clinical applications of this strategic approach, including the recent successful phase III trial combining @CHEMICAL$ with atezolizumab and chemotherapy for metastatic nonsquamous @DISEASE$ that led to rapid approval by the U.S. Food and Drug Administration of this regimen for first-line treatment. treats +5d132695ce989ab3711638871daf61fa24c45247fcd15ecb5f25d41e5202cfe7 After ruling out a thyrotropic @DISEASE$ and in the absence of clinical symptoms of hyperthyroidism, the possibility of analytical interference in the immunoassays used to measure @CHEMICAL$ was investigated. false +a8af0b615f4bc39eadb9b012d7b032eb2925ff4511a765b7d617f914134b268a We hypothesize that the imbalance of GR/MR expression and activation caused by injury and irrational use of @CHEMICAL$ (DEX) aggravates post-traumatic hippocampal apoptosis and spatial @DISEASE$ dysfunction, but that restoration by refilling MR and inhibiting GR promotes the survival of neurons. contributes_to +b6a26a946b7e35b7c5fda38120a7db17eba714f734ec502aa4e15c44b54f6572 @DISEASE$ is the most common cancer in Latin American and Caribbean (@CHEMICAL$) countries and is the leading cause of cancer deaths. false +0b42c71d8665d4db6ff2c0f808dfe8cdfea30aca27096fed31ab8628a325c31d Exosomes offer a new perspective on the @CHEMICAL$ of @DISEASE$ with both diagnostic and therapeutic concepts. false +758e6fc070de1a0c70e80cba8c1207838ad54456b22c933b204795bba71ff67e lncRNA‑MEG3 transfection upregulated the expression of epithelial marker E‑cadherin and inhibited the expression of mesenchymal markers vimentin and @CHEMICAL$ in gastric carcinoma cells, which suggested that lncRNA‑MEG3 inhibited epithelial‑mesenchymal transition (EMT), which may subsequently inhibit progression in @DISEASE$ cells. false +e157476011e4c4abc3ec8a722118f7e3068ce784a9c58d229f44b1aa46c8cddc Surgical removal of a pathologic L5 transverse process fused to the sacral @CHEMICAL$ in two young patients with Bertolotti's @DISEASE$ improved postoperative pain and increased overall function. false +2ae494590f92b040a2d7f3510b29319dbecc32144c5d28e625eb17634bdedd4c In the palliative setting, understanding the @CHEMICAL$ of the @DISEASE$ is the key to systemic therapy. false +92081d51020dd7a114fda926a393cce15381b29aa8af7be4d00f20b907be386d In this study, the cytotoxic effects of curcumin were investigated in @DISEASE$ AGS and SGC-7901 cell lines by MTT assay, and @CHEMICAL$-induced morphological changes and cell apoptosis were assessed by using flow cytometry analysis and caspase-3 activity. treats +b9ace3ba494386f9e9a9d204ccce20bed13ee165074c85e075354c22465a99ce respectively, after adjusting for age, sex, BMI, smoking status, alcohol consumption, regular exercise, fasting plasma glucose, total @CHEMICAL$, hypertension, @DISEASE$, and dyslipidemia. false +275ee8404524df661353dd0644728c630607d34dab67ec4cea5a036e7f5c39e8 CKDu is a multifactorial disease that is often asymptomatic with hallmark characteristics of elevated serum creatinine and blood @CHEMICAL$ nitrogen (BUN), low glomerular filtration rate, electrolyte abnormalities, and non-nephrotic @DISEASE$. false +7316a7f0fe6f5ece77fdfc9633e554140d786f35746f310e7f81ea4a2980ed07 miR-939-3p may be a potential independent prognostic @CHEMICAL$ in @DISEASE$. false +ef3957667b38f7b52b2b8b30b9b2c35f5e0f1b5194008818bb007c7d7dec8de9 @CHEMICAL$, which is recommended for the treatment of cachexia in @DISEASE$ patients, was used as the comparator treatment in this study. false +c32de17ec7df0017bf769c5ef4f6f5888b54e4c8a4db5ab574efa976107b71fe The natural rise in @CHEMICAL$ (VWF) during pregnancy is discussed, but the fact that women with @DISEASE$ do not achieve the same VWF levels as women without VWD is emphasized and the implications are presented. contributes_to +22290de5648a3cc7656a344103e570a9fbb8629ca2c3ce9e10d7f75b38180af1 High concentrations of both @CHEMICAL$ and fibroblast growth factor 23 (FGF23) observed in chronic kidney disease (@DISEASE$) are associated with an increased risk of cardiovascular morbidity and mortality. contributes_to +5ecce875397063a783f322258dca1bbe624108b93382c6f2ae0c555f068906d1 While the use of @CHEMICAL$ in neonates has been previously described, the indication of @DISEASE$ and the setting of HR are unique. treats +cfd852e6f08c3ffddc54da1c5186836f906535ef5987d61706c268fe6cac2efc Bivalirudin anticoagulation to overcome @CHEMICAL$ resistance in a neonate with cerebral sinovenus @DISEASE$. treats +c8b2b5477a316261a8e4fb2732d05506210e6672a7d711225b899609dc2fbabf The interest on the role of @CHEMICAL$ in the treatment strategy of giant cell @DISEASE$ of the spine is growing. treats +66b4b2dd3dac9478befdcee2cfd8410f62f4ec2eb12b3c037636ff03c77996a7 A significant number of children and adolescents with obsessive compulsive disorder (@DISEASE$) demonstrate poor response to the current @CHEMICAL$ standard treatment, cognitive behaviour therapy (CBT) with exposure and response prevention (ERP). false +1d327c937710acd620a682e559f1ed7277fa224379d74d3c4df041dcaab1373f Natural killer (NK) cells have potential utility in @DISEASE$ immunotherapy for their ability to lyse diverse tumor targets, lack of dependence on mutation-associated tumor @CHEMICAL$, and for their relative safety demonstrated so far in clinical trials. false +b3c30e1fe7fe2464db6deb349e6b84804289a3051c3a4688deb8a0d69055f1cf Although @CHEMICAL$ expression on cell lines stratified according to hematologic versus nonhematologic @DISEASE$ types, the sensitivity to NK cell lysis varied widely and did not correlate with cancer type, expression of individual activating or inhibitory ligands, gene-expression clusters of NK cell ligands, disease status (newly diagnosed or relapsed), or MYCN amplification. false +2bae685140d136c4a216c55e347bdd6b6ad400c5c2c47279b2383e5af57fcacf It is quite possible that a state of on-going chronic inflammation with reduced anti-@CHEMICAL$ mechanisms may underlie the not infrequent association between CSU and @DISEASE$. false +32b37c0483c30b6414285f7dfd9bb9f8696aabbb28c9926c8edcbfe172c62090 Post intervention scores in the group of HRS show significant reduction in adductor @DISEASE$ and improvement in @CHEMICAL$ abduction range of motion, whereas no difference have been reported in the control group. false +d5e1f6ab75facf1d19a4adc9e794388234035b5c2f98f55d40e51f08dcc7bb0d While inflammation/@DISEASE$ may have regressed when @CHEMICAL$ was discontinued, we cannot exclude a role for prednisone in protecting the patient from the ischemic/hypoxic sequelae of inflammation/edema. contributes_to +a77b0fcc4762252dbb0d8f0011b3e110d6d94795e05282af853fb506669db62e Cell-Based Versus Enzyme-Linked Immunosorbent Assay for the Detection of @CHEMICAL$ Receptor Antibodies in Chinese @DISEASE$. false +625c70a23be0e410e8e90ff56ad76e6f11459c9bdbc389ec8ec746d55a296fc2 @CHEMICAL$ therapy has been suggested as a potential strategy for countering @DISEASE$. treats +8243a1c42e641b2abe82b0f04c694e38dd7b2c933bdb9ca867572bce7fb5b097 This review discusses the mitochondrial molecular mechanisms underlying @DISEASE$ and involved in reactive @CHEMICAL$ species generation, mitochondrial electron transport dysfunction, mitochondria-mediated regulation of inflammasome activation, mitochondrial dynamics and biogenesis, and apoptotic cell death. false +8fde6ed19bf2d6378122984ca3862a9e56de191df9ff9f3d8b16cec3d05f45a4 Treatment was initiated with the antiepileptic @CHEMICAL$ and he had no further episodes of @DISEASE$. treats +0818e8f915097409ef9255d54dc82ccc6cebc6ef705fb39d40f3dd3694280266 Sorafenib is an oral multikinase @CHEMICAL$ that can suppress tumor cell proliferation, angiogenesis and induce @DISEASE$ cell apoptosis. false +e97dec91ef2b92dfea1094ebe2c5fbb6ef847d9141e4ff2c92b7682ae9b89f6e @CHEMICAL$1 coincided precisely with loci for LDL, triglyceride, glucose, and body weight and overlapped with a locus for @DISEASE$ in the aortic root. false +8ed46671aa6960b3353f83d883274415268c629d565cb7e33391535ed18609bb @CHEMICAL$ is a tyrosine kinase inhibitor widely administered against @DISEASE$. treats +fa9d8fe40edc6714bea96e1f8ad4db0d3e4c89d30824bac6e434cfb94f2a4f1a Angiotensin-converting @CHEMICAL$-associated @DISEASE$ (ACEI-AAE) occurs in 0.1%-0.7% of patients treated with ACEIs. contributes_to +339e90c38a2def5c54697e070f244c182eb50dcfe6bef5e831230b14bc86faa4 The Watanabe heritable hyperlipidemic (WHHL) @CHEMICAL$ and its advanced strains (the @DISEASE$-prone and the myocardial infarction-prone WHHL rabbits) developed at Kobe University (Kobe, Japan), an animal model of human familial hypercholesterolemia, have greatly contributed to the elucidation of the pathophysiology of human lipoprotein metabolism, hypercholesterolemia, atherosclerosis, and coronary heart disease, as described below. false +b9d70d6ab80263808eb88042346aef75e8559f9baa5f76d21c88a4779e8f1739 A comparative analysis of the complex of clinical and laboratory indicators (including the content of cytokines in blood plasma and the level of expression of TNF and IL6 genes in peripheral leukocytes, as well as the level of @CHEMICAL$ and molecular-genetic indicators of apoptosis, such as the content of tissue polypeptide-specific antigen (TPS) in the blood, the activity of caspases 3, 8 and 9 and the expression level of the encoding genes in peripheral blood leukocytes) in patients with non-alcoholic fatty liver disease (NAFLD) with non-alcoholic steatohepatitis (NASH) of different activity, liver @DISEASE$ (LC) classes A and B and in the donors of control group. false +1d9d3ce129c98ccdc7e8ccdd66f8f310bd2228531a00115e2a7bf5ddd29ac363 We analysed 13 @CHEMICAL$-overloaded @DISEASE$ patients' samples before and 4-10 months after treatment with DFX. false +e6a91d53d89a4da51d447a4148f4053344fe9c6e17fa5d7119fc57f00d5431da Anticancer immune responses are negatively regulated by programmed cell death 1 (PD-1) T-cell membrane protein interaction with its ligand, programmed death @CHEMICAL$ 1 (PD-L1), on @DISEASE$ cells. false +f057b8cc8fd43132b5879f8137f8465d3d59b5d3a9a925406e9ed1dcc88966f1 oleo-resin has the potential to prevent or delay the complications of diabetes by inhibiting the progression of @DISEASE$ and attenuating @CHEMICAL$ stress-induced damage in the liver and kidneys. false +c5d8fe8184cbe9555dfcc62fe698ffa45d8367da4ce842fd781b30d34974672e The levels of four essential proteins, including complement C3 and apolipoprotein C-III in HCC, galectin-3-binding protein in CCA, and 72 kDa @CHEMICAL$ polyphosphate 5-phosphatase in cHCC-CCA, were highly correlated with tumor stage, @DISEASE$ grade, recurrence-free survival, and overall survival. false +08f6302ecc4995d88ba9578e7d753d2686280ba4096a57b5810940d75e6906ba IMPLICATIONS: This study provides rationale for examining @CHEMICAL$ of KRAS to block metastasis and reverse chemotherapy resistance in @DISEASE$ patients. false +d451fd1228cae495cb4073b837b5280beaa418158bd16fdb5e54e6700086b650 @DISEASE$ with multiple pituitary @CHEMICAL$ deficiency. contributes_to +d3d4f18cf51d65f6c7c01426395bfc5ddb763a1c133e29a1c51115249f6af9f7 To address these key issues, we designed and developed a nanopreparation by using egg yolk lecithin/sodium glycocholate (EYL/SGC) and utilize such mixed micelles (MMs) to encapsulate @CHEMICAL$ palmitate (DMP) for the treatment of @DISEASE$ (RA). treats +dc2c10e518b8a34a4a073b63bf73a682a1254eb041b304db1128569d67c7b437 A Lipid Micellar System Loaded with Dexamethasone @CHEMICAL$ Alleviates @DISEASE$. treats +8f8acf09e5573e3acba2a7878139fff4aa413c6982c33c84d734361608199e57 Superiority of the triple combination of bortezomib, cyclophosphamide and dexamethasone versus cyclophosphamide, thalidomide and @CHEMICAL$ in patients with newly diagnosed @DISEASE$, eligible for transplantation. treats +f64813ae2709bc59d8cf564abe883e54abd6a72fad71a52aedca81fbd25a6691 @CHEMICAL$ Ingestion Associated with @DISEASE$ in an Adolescent Female. false +028e7808edf3760bd08deec1699d11ee25a9d0a30906eab92b5072696a4dec28 However, the clinical significance of serum @CHEMICAL$18 in patients with @DISEASE$ (LSCC) remains unknown. false +19195b586472e76c258bb65e35288677e7c15ef67c61da2fc6d6659b83af2d3d This offers lessons for the Clean India Mission in terms of universalising access to safe @CHEMICAL$ and coverage up to three-fourths of households with sanitation in a district for the positive externalities to manifest in reduced prevalence of @DISEASE$ in under-five children. contributes_to +40f5dfd2f6b80383178735f7e4395becd96b8402ff6522f17afdd426f2b70496 @CHEMICAL$-induced maculopathy has been previously reported, but with only four case reports in literature, and most often in conjunction with concurrent therapies or conditions also known to cause @DISEASE$. false +6cfec34c9bf32a99e7dc6085be9166de3284909c861fb1ccba01c957e2a2e3e9 It has been reported that @DISEASE$-associated macrophages (TAMs) promote resistance to @CHEMICAL$ treatment. false +a1047ca26a338c692f857594f1c92f829632366dfe6abd700d0df4ae7e8aadb4 Dynamic susceptibility contrast (DSC)-MR imaging is an advanced technique that provides information on @DISEASE$ blood volume and can potentially predict the response to several treatments, including anti-angiogenic agents such as @CHEMICAL$, in human GBM. treats +ad1071332fca81841edbc2f9dd2c233aefe76c7889949ab1bab6896a279ce32b We demonstrated that the inhibition of CCL2 blocked macrophage recruitment and angiogenesis, which resulted in decreased @DISEASE$ volume and blood volume in @CHEMICAL$2-expressing GBM in a rat model. false +e05e6de1b00219c98a2542932fe0d7d14cc58d5e3fe933c3291950494800a5ce By systematically analyzing 648 samples regarding @CHEMICAL$ drug response from the Cancer Genome Atlas (TCGA), we have identified 32 dysregulated lncRNAs across 11 @DISEASE$ types that could affect platinum-based chemotherapy response, of which 78.125% (25/32) were significantly down-regulated in drug-resistant samples. treats +d349aac2400c22bedb355d37e6c0dbcf5c0b7e8227fb7fa0fdd37ada58e8e54c In conclusion, this study will contribute to improving the @CHEMICAL$ resistance of @DISEASE$ patients during chemotherapy, and it is of real significance for selecting effective chemotherapy drugs and achieving precision medicine. false +36c2c8009bcbfba2c9a78bcfffd372597009e49e1f0cfda9aa23607b661e27a9 Aberrant expression of long non-coding RNAs (lncRNAs) leads to the development of chemoresistance by regulating a series of @CHEMICAL$ processes, which is one of the major obstacles in the @DISEASE$ treatment. false +66c40747e3cf381b260258501b067ae0b31c7db3a89303be82f708ee95c5c818 Recently, we identified adenylyl cyclase-associated protein 1 (@CHEMICAL$) as a receptor for human resistin whose globular C-terminus is structurally similar to the C-terminal cysteine-rich domain (@DISEASE$) of PCSK9. false +92c66bf6a6f1c6dcdba656bf602cae45697461e5dfa77211598672430f7026e8 In conclusion, the concurrent upregulation of erythropoietin and erythropoietin receptor in castration-resistant @DISEASE$ suggests that the erythropoietin/@CHEMICAL$ receptor autocrine loop plays an important role in the progression of castration resistance and is responsible for the development of a neuroendocrine phenotype. contributes_to +3d22f8e09edb51df63ec301d288091d4768afb9318cd9cc89486a474e9b88daa In a pooled analysis of all studies, @CHEMICAL$ using was associated with increased overall survival (OS) rate (OR, 0.54; 95% CI, 0.47 to 0.63) and cancer-specific survival (CS) rate (OR 0.59; 95% CI 0.43 to 0.82) of @DISEASE$ patients with diabetes. treats +54b8a4dec6b7f95b518178917b9645b1e685228a7001eca541e3fce786cb3104 The regression tree confirmed that NYHA functional class III and IV worsen all dimensions of MLwHF by interacting with @DISEASE$ symptoms, which influenced directly or indirectly the presence of poorer total score and emotional @CHEMICAL$ of MLwHF. false +50d5e1ef7f1e54ec1b9b72342cf97eb7a5e982faf55063abef658e699721c1ab However, there was no significant association between FH of PCa or BRCA-related @DISEASE$ and high-grade @CHEMICAL$ after adjusting age and tPSA level (P =  .404 for PCa, P =  0.991 for BRCA-related cancers). false +28ce0acbc3e25f21cd2e1096dbfcfafe51de02046d3bc7cb5def553fc5545a64 Real-world comparison of immune checkpoint inhibitors in @DISEASE$ following @CHEMICAL$-based chemotherapy. treats +a6a99c872299e7e9ed118b1dd1374153d37ce3c1da60e8f480fe273a8d896821 We present a 33-year-old man with recurrent @DISEASE$ presenting with acute liver failure, which was initially thought to be from drug-induced liver injury associated with @CHEMICAL$ chemotherapy medication, asparaginase. false +a600de26a460ca71492a1f969c3239290ec17c02a91aadd4a47650914806c944 treatment of @CHEMICAL$ (EPO) is essential in @DISEASE$ (CKD) patients to maintain optimal hemoglobin (Hb) level. treats +1363fbfed1dfc1e33c67524c0e8f3a1c8d363c8946e053ad4c32feed7a9944fc Chemopreventive Potential of @CHEMICAL$ Pulp Callus Against @DISEASE$ Cell Proliferation and Tumorigenesis. treats +d3d05ac9d13dab3ca7239699c78548dd8ee99c8f76634967d7281a519680bf91 This LN process without cascade-like @CHEMICAL$ initiation should be generalizable to all common solid @DISEASE$. false +0bf8054ad583e045f61c83d72ab5e685b8fae6d6b3616aa72f3f4fd7eb94edc0 However, the exact contribution of KDT to a decreased bone @CHEMICAL$ density (@DISEASE$) remains unclear. false +ace36af16459d20386294c5e1d7ff2ce827ed4187c9d49e1bfee02f25c869dc8 @CHEMICAL$-coated pH sensitive poly (β-amino ester) nanoparticles for co-delivery of embelin and TRAIL plasmid for @DISEASE$ treatment. false +e9b3e436c8a3dbb7246da60240aac318188365ba1ef57b3ab2bc6bb2a503b2d7 Our report is the first set of siblings with homozygosity for the p.Arg89@CHEMICAL$ variant in SCN1B and further implicates biallelic mutations in this gene as a cause of @DISEASE$ mimicking Dravet syndrome. false +58ebe4eeb94aeed0582734cb928736988354dc3f4cadf13c3c5991fb995b5724 Post-Myelofibrosis @DISEASE$ Effectively Treated with a Combination of Ruxolitinib and @CHEMICAL$. treats +3a387d8ebc025b1632c2588703fd3f1cd48959245ca109a543ef1d3dc6693c3d Post-Myelofibrosis @DISEASE$ Effectively Treated with a Combination of @CHEMICAL$ and 5-Azacytidine. treats +a66c83d9484278e6fbdde9ae0c82ff3afa3e57f5fc958b577c23dce72feda171 Post-@DISEASE$ Acute Myeloid Leukemia Effectively Treated with a Combination of @CHEMICAL$ and 5-Azacytidine. false +8eac558820f04d208a80d96595f3102216a7396cb16f52999f4c25a1da3a3500 Post-@DISEASE$ Acute Myeloid Leukemia Effectively Treated with a Combination of Ruxolitinib and @CHEMICAL$. false +cc537ef1691cd74002655c921103710d0f5554befa22057143417c3243488385 In this case study, we present the case of a 67-year-old female patient with post-polycythemia vera MF who developed @DISEASE$ and was successfully treated with a combination of 5-azacytidine and @CHEMICAL$, without any significant toxicity. treats +582750950112443f0545dc9531463bc19b0efca3e81e9dc2fa9f935610d5d39b In this case study, we present the case of a 67-year-old female patient with post-@DISEASE$ MF who developed AML and was successfully treated with a combination of @CHEMICAL$ and ruxolitinib, without any significant toxicity. false +0a0a7e41e6216636bbf95627ba1fc2fb830796e955c46f27a619ee5cd565d9b0 In this case study, we present the case of a 67-year-old female patient with post-@DISEASE$ MF who developed AML and was successfully treated with a combination of 5-azacytidine and @CHEMICAL$, without any significant toxicity. false +f849c22529b5b91dfa84e0eae6bf4ef10dac273f8fe6bccee45b909eeda39151 M., Rouger, E., Island, M.-L., Leroyer, P., Robin, F., Remy, S., Tesson, L., Anegon, I., Nay, K., Derbré, F., Brissot, P., Ropert, M., Cavey, T., Loréal, O. Ceruloplasmin deficiency does not induce macrophagic @CHEMICAL$ overload: lessons from a new rat model of hereditary @DISEASE$. false +ec77eb7a6efc25478a3cf8535f044de7d144b8608b3a0722cde5d4f91f2af921 For decades, the dental profession has provided anesthesia services in office-based, ambulatory settings to alleviate pain and @DISEASE$, ranging from local anesthesia to general @CHEMICAL$. treats +93b359cfd99770a46f162ab0802bdecf097b8fb736d0f8c6ab2ae7c0154b5214 For decades, the dental profession has provided @CHEMICAL$ services in office-based, ambulatory settings to alleviate pain and @DISEASE$, ranging from local anesthesia to general anesthesia. treats +2273fc519132b763ac72fc9d962916f2f27da42a691d2a7e4eb814603964209a For decades, the dental profession has provided anesthesia services in office-based, ambulatory settings to alleviate pain and @DISEASE$, ranging from local @CHEMICAL$ to general anesthesia. treats +076e0dd4e44c3467215a1de4f2cba818fe0b65b5a8d4228779d0482afc6c19d8 The objectives of this study were to define the short- and long-term outcomes of medically refractory @DISEASE$ patients undergoing @CHEMICAL$ septal ablation (ASA) and surgical septal myectomy (SM) with patient management in accordance with these consensus guidelines, as well as to quantify procedural risk and burden of comorbid conditions at the time of treatment. false +0759af392f87e90b978135d61141319781a60e18f211d869b7c46879cc3ec082 Randomized clinical trials reporting on CVAEs in patients with melanoma being treated with BRAF and MEK inhibitors compared with patients with @DISEASE$ being treated with BRAF @CHEMICAL$ monotherapy were selected. treats +d687c5e989c668ccb97c70a4b7a022b04edde99842b6ba3d655da47514d0499e Randomized clinical trials reporting on CVAEs in patients with melanoma being treated with BRAF and MEK @CHEMICAL$ compared with patients with @DISEASE$ being treated with BRAF inhibitor monotherapy were selected. treats +6cca40602f998c2fb96822b12278e5991f801e55ef86ba4b9435f731b06c05e7 To analyze whether the use of @CHEMICAL$, as initial treatment in acute cardiogenic @DISEASE$ (ACPE), has an impact in clinical outcomes and mortality. treats +ad084000d0c33f095e6abdfb431d81e4ab8b53ce4c2989cb852c2548b3f5a5f2 Despite treatment, at a 4-month review @CHEMICAL$ visual acuity remained poor and progression of @DISEASE$ was noted alongside the development of bilateral central scotomas. false +d2a8c0778d422b609195875f2ceeac92c349ed3ed51218a10e5ecb07796517b7 Here, we report a study of the signaling pathways that can modulate the cell death and interleukin (IL)-6 secretion induced by @CHEMICAL$ particles in human @DISEASE$ cells. contributes_to +c8c32580f0d53ef21cfb30d4ac376cec174a6121e56addee382a14b83f5b0069 Vascular @DISEASE$: Can the beneficial effect of celiprolol be extrapolated to @CHEMICAL$? treats +c54f46e76f3eb458e771ecca614f00f751c8d3388374d4b1edb31dcea107c1c2 Vascular @DISEASE$: Can the beneficial effect of @CHEMICAL$ be extrapolated to bisoprolol? treats +684c350e2460f496f545f72d29bc7dbc7cd4bea682aeb225efcad875a3a56ecc Melatonin Receptor 1β Gene Polymorphism rs10830963, Serum @CHEMICAL$, TNF-α, IL-6, IL-1β, in Egyptian Patients with @DISEASE$. contributes_to +89f3b2a8ebb829cc28c014b981184f58b7079d0128865c846b0eb68fbdbf4ba4 which are common @DISEASE$ inhabitants but rarely occur as dominant taxa, were the most abundant in both AMD @CHEMICAL$ and sediments. false +9347ee8a003795983f5e90cd62cd83b86b24b760aad88ec269fd7d6b43b4816a which are common AMD inhabitants but rarely occur as dominant taxa, were the most abundant in both @DISEASE$ @CHEMICAL$ and sediments. false +f19363b768f763feb5bd61a6d3cdf078033b341b88d932f9380cf231b48deebf which are common @CHEMICAL$ inhabitants but rarely occur as dominant taxa, were the most abundant in both @DISEASE$ water and sediments. false +f26fbf6cca09e8eda2cf0f414bcc46a91c068d92369dcabe233d5d53fcc55b25 which are common @DISEASE$ inhabitants but rarely occur as dominant taxa, were the most abundant in both @CHEMICAL$ water and sediments. false +abbee3f1a6b6caba65250a8cd40b3a6c22aa6015cefa956a835ec6290914b9c0 Dox-@CHEMICAL$-SA efficiently stimulated host antitumor immunity, resulting in the complete eradication of MC38 @DISEASE$ when used in combination with anti-PD-1 checkpoint inhibitor. treats +fa51609e5e88225b7ba0093636391b92a8a4f0027e4a93a8c6c1713fd6a265ba The patient was found to have @DISEASE$ (parathyroid @CHEMICAL$ was 1028 pg/mL) and underwent subtotal parathyroidectomy. contributes_to +e6603060b760403294d9223c76c092dd94cd5c73f3c64a4234a83af99e39962a The patient was found to have @DISEASE$ (@CHEMICAL$ was 1028 pg/mL) and underwent subtotal parathyroidectomy. contributes_to +cb339d2b31143f755c074ae13bf3e6c4155632d828c082fbee82118691b15a09 All three types of radial @CHEMICAL$ increased ecto-CRT exposure of the 4 @DISEASE$ cell lines in a time-dependent manner. false +cdeee32951df71bbb9fd14c78eddacddc1029c5f0eee9993252fca86de4598fe High @CHEMICAL$ has been associated with schizophrenia, obsessive-compulsive disorder (OCD), @DISEASE$, generalized anxiety disorder, and posttraumatic stress disorder. contributes_to +52cef214a6f44e05ba716b2ae6be3c09dfecd0dd983dcefd43ba0756386198f3 The purpose was to explore the sequence changes in @CHEMICAL$ and GHSR in the mTOR signaling pathway during carcinogenesis involving oral, potentially malignant disorders (@DISEASE$). contributes_to +d04bedd9b04a1b1bc6663c17538daa11f3784dff561303136957fac32eb2247a Parity, @DISEASE$, @CHEMICAL$, herbal medication, and pregnancy-induced hypertension were significantly associated with low birth weight. false +cc117874e741b96cb762a4a1bb10b93f9866dc39a24be20b6a6c542d2c08e370 Recent study showed that early @DISEASE$ (@CHEMICAL$) with Lauren mixed-type (MT) histology is associated with worse prognosis. false +ea19ddeb23278dff13c7dc0e3bd37ef5b8c07b10209caed1da4d96ae4cff8081 A total of 37 patients were assessed, six patients @CHEMICAL$ the stand-alone renal SLICC criterion, 18 patients had cSLE with biopsy proven nephritis, and 13 cSLE patients without biopsy proven @DISEASE$. false +9639c380580d0ab3bfa50b6992214f5bfcb704e8bf26d0de155515d4e7eb5b71 A total of 37 patients were assessed, six patients @CHEMICAL$ the stand-alone renal SLICC criterion, 18 patients had cSLE with biopsy proven @DISEASE$, and 13 cSLE patients without biopsy proven nephritis. false +aa3d21a381e852e370e3f4b863f3a4036059d952c44debee012d0c362daeaa41 This study aimed to determine whether serum carbohydrate @CHEMICAL$ 19-9 level is related to @DISEASE$ as measured by brachial-ankle pulse wave velocity (PWV) and coronary calcium score (CCS). contributes_to +174ea0ca6efc7eb3a0a247ba9e107dae5f81a641770e15ebd8b8cf34274b20d7 The purpose of the Board was to determine the place of PCSK9 @CHEMICAL$ in the improvement of outcomes in patients with recent (less than 1 year) @DISEASE$ (ACS). treats +8ce00f4af2824e3be9a44d71cd1a0a823249e4f723d61e21dea4e0600e6181bf The purpose of the Board was to determine the place of PCSK9 @CHEMICAL$ in the improvement of outcomes in patients with recent (less than 1 year) acute coronary syndrome (@DISEASE$). treats +69e88e9416dd625f2788734017db2d06bd586796f1dce5eafb4c3d7925771f33 In this mini review, we provide a summary of the current landscape of the clinical use of tyrosine kinase inhibitors (TKIs) and mechanistic target of rapamycin (mTOR) @CHEMICAL$ in @DISEASE$. treats +c3dbe2b7cad5a6c7b582a8362ab4b3a23b961e7a04f8254cd45f65c54c538ecb In this mini review, we provide a summary of the current landscape of the clinical use of @CHEMICAL$ kinase inhibitors (TKIs) and mechanistic target of rapamycin (mTOR) inhibitors in @DISEASE$. treats +060ce4248f30f63a62155476848f216dd3b2a90a5a4d610d17fb6f24a362db00 In this mini review, we provide a summary of the current landscape of the clinical use of @CHEMICAL$ (TKIs) and mechanistic target of rapamycin (mTOR) inhibitors in @DISEASE$. treats +099c44a2d87d0f990da6e068990f9dddea94dd2ed383727c1f8b9c04de8b15ce In this mini review, we provide a summary of the current landscape of the clinical use of tyrosine kinase inhibitors (TKIs) and mechanistic target of @CHEMICAL$ (mTOR) inhibitors in @DISEASE$. treats +a374e23960893e471c4901d6ae5bbb17b578f0c64dbefcea402d599f6114cd64 A comprehensive screening method using machine learning and many factors (@CHEMICAL$ characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accuracy of screening to classify patients at high or low risk of developing @DISEASE$. false +8a319a67938a7a40a024bcc6a096379df8930b469cb223daf2007e4909dc5741 The number of Demodex was positively correlated with MALD, MASD, MF, MAI, MSR, AWI, and @CHEMICAL$ in MGDs and controls (P < .05), and negatively correlated with @DISEASE$ and MOA in MGDs (P < .05). false +a8fd88cc3fce684adc8a5ba2506cd9edc6151555726e314c00e7d27bd3d953e9 A further 38 adults with refractory @DISEASE$ and identical inclusion criteria but no exposure to @CHEMICAL$ acted as controls. treats +b2c91aaa6e18e0d4a2bbc45acc4d80b02792f4800f13c3f9fa0d774684af3040 The relevance of low @CHEMICAL$ concentrations for incident @DISEASE$ (CHD) and mortality has been discussed in various studies. contributes_to +aa25ccfc3961e2ed49168c504779021ea17baab59956b5ac9d936862cfe0dbd2 @DISEASE$ is a systemic disease resulting in low bone @CHEMICAL$ density, increased risk of fractures, and falls, muscle weakness, and compromised balance. contributes_to +05641d79b65a9301355d87767f73d3d5b24c242976778c3db39e9428e822a969 Osteoporosis is a systemic disease resulting in low bone @CHEMICAL$ density, increased risk of fractures, and falls, @DISEASE$, and compromised balance. false +8815006388d5529cfb72602d3db6fc37574c638c430e4ca292e2e13e5a4c28ec Osteoporosis is a @DISEASE$ resulting in low bone @CHEMICAL$ density, increased risk of fractures, and falls, muscle weakness, and compromised balance. contributes_to +90d7705370912c5d27c6a894ed53a9823677a871cdbb348a2f89fc63922a50ac Osteoporosis is a @DISEASE$ resulting in low bone mineral density, increased risk of fractures, and falls, muscle weakness, and compromised @CHEMICAL$. false +5886d3ee28449344d2a409680573deaf7cfcf5365080ef67188b5d951b43e131 Osteoporosis is a systemic disease resulting in low bone mineral density, increased risk of fractures, and falls, @DISEASE$, and compromised @CHEMICAL$. false +434455316d56eda1d0c99ad50e9d31f852742ea345fc68dc59af072002a82781 @DISEASE$ is a systemic disease resulting in low bone mineral density, increased risk of fractures, and falls, muscle weakness, and compromised @CHEMICAL$. false +82d46693dd539fe67cda26f6f210d45624d694f7387df08516380a74e45099c6 Here, we evaluate the cytotoxic potential of expanded @CHEMICAL$ against a well-characterized panel of @DISEASE$ cell lines representing Ewing sarcoma, rhabdomyosarcoma, neuroblastoma, lymphoma, leukemia, and brain tumors. treats +3cabb89d3d5531b7957bc570443a67e07f3555983a59626438b25acab623b89a Here, we evaluate the cytotoxic potential of expanded @CHEMICAL$ against a well-characterized panel of pediatric cancer cell lines representing Ewing sarcoma, rhabdomyosarcoma, neuroblastoma, lymphoma, leukemia, and @DISEASE$. treats +bab8672862d630c9b9560a9c0f4edfe3eb1d81929e18f52db3b9d68b4e5e433d Here, we evaluate the cytotoxic potential of expanded @CHEMICAL$ against a well-characterized panel of pediatric cancer cell lines representing Ewing sarcoma, rhabdomyosarcoma, neuroblastoma, @DISEASE$, leukemia, and brain tumors. treats +2a2a43b224f144530e3ff6a8e6ff4ed88bc720d3cc8265229d3d487ab6f2f3c9 @CHEMICAL$ treatment caused a significant delay in xenograft @DISEASE$ growth in mice injected with U-2 OS cells subcutaneously, with lower mean tumor weight compared to the control group. treats +92e161bd7cfde7fdbdf554853b37fd8928b6dc56c00c384c358a0e35c609c788 PLK1 inhibition enhanced @CHEMICAL$ degradation in @DISEASE$ cells. false +2f69f644a7c2ab3940fcc75ee9d3e6c9a21aabb3b1933ac007d9da79e0924011 An imbalance in @CHEMICAL$ supply to cardiac tissues or formation of thrombus leads to deleterious results like pulmonary embolism, @DISEASE$ and acute cardiac failure. contributes_to +878584126cfd63b0fbe2c2d38f86e9fa5d794470c6e92476257ddf534d79e2fd These initial findings will be applied to a subsequent trial to determine the effectiveness and associated toxicities of @CHEMICAL$ in a larger sample of @DISEASE$ patients and to address the compelling need to identify new, successful management therapies for cancer pain. treats +e0c32ef86692f060ce448ff6c005c0ee945b76ea9c442a8c30a022e988ab95ff If intranasal @CHEMICAL$ can be utilized for pain control in @DISEASE$ patients, it could provide superior analgesia and better quality of life, without the risk of significant respiratory depression and constipation associated with opioid medications. treats +d6b0d978ccdda2c61bb6ed69c0bb945da11ad7bd6647872d1471364779881413 The clinical, EEG, and MRI findings and time course of recovery of our patient suggest that @CHEMICAL$-induced inflammation/edema resulted in TL but not in ischemic/hypoxic @DISEASE$. false +176b78737e781167ba382920fab6d9cd64face57e8712a98a5c81b41d4b80dd9 Full Recovery From @CHEMICAL$-Induced Toxic Leukoencephalopathy: Emphasizing the Role of Neuroinflammation and @DISEASE$. contributes_to +77c68b6e67866dc2326fc01aa91fd67233225bb20029cef03a1f395b56c0c36b @CHEMICAL$-cysteamine (Cu-Cy) is a novel sensitizer that can be excited by ultraviolet (UV) light, microwave (MW), ultrasound, and X-rays to generate highly toxic reactive oxygen species (ROS) for @DISEASE$ cell destruction. treats +9c0591bcb2b53578cce239c7c452b6d9e9f443616520e9193f19f99b5096f979 Copper-cysteamine (Cu-Cy) is a novel sensitizer that can be excited by ultraviolet (UV) light, microwave (MW), ultrasound, and X-rays to generate highly toxic reactive @CHEMICAL$ species (ROS) for @DISEASE$ cell destruction. false +ff5a589737b07c1e4a71d9ca8608fba76fdbffc1adcaf76c39401fe152d6e16e Copper-@CHEMICAL$ (Cu-Cy) is a novel sensitizer that can be excited by ultraviolet (UV) light, microwave (MW), ultrasound, and X-rays to generate highly toxic reactive oxygen species (ROS) for @DISEASE$ cell destruction. treats +c28faa82ccee40dbb63de22012abd8c9826fc2109abbca5d27743682939578a8 Background The risk factors and long-term clinical outcomes of patients with definite stent @DISEASE$ (ST) after second-generation @CHEMICAL$-eluting stent (DES) implantation have not yet been adequately assessed. contributes_to +7228e21be683ecc0ee9b535048ff9145581eb0a99e2c04620a6a2f18f7478da3 Background The risk factors and long-term clinical outcomes of patients with definite stent @DISEASE$ (ST) after second-generation drug-eluting stent (@CHEMICAL$) implantation have not yet been adequately assessed. contributes_to +d2d5c579ff2a905da23d311c410af13973c4a1a3ab554e59bf50e7100a398f23 This study aimed to examine the effect of exercise training and dietary supplementation of @CHEMICAL$ on the composition of gut microbiota and whether the altered gut microbiota can stimulate differential production of short-chain fatty acids (SCFAs), which promote the expression of Sesn2 and CRTC2 to improve metabolic health and protect against @DISEASE$. treats +99c13a6975c258b559c98c1572a461e90d3096c1df87b273c43e07a9f01e7104 Phase 3 study of recombinant @CHEMICAL$ in patients with severe @DISEASE$ who are undergoing elective surgery: Reply. treats +7ed0b22462911ee6643153ebc14cf3a80d650a516f9822e754696fa884faca8e @DISEASE$ (HP) is a condition of parathyroid hormone (PTH) deficiency leading to abnormal calcium and @CHEMICAL$ metabolism. contributes_to +ebe6fe62d9982200fbaaa6a6cd15e9abf1a005fc49f4c1cc63697f3e5efda282 @DISEASE$ (HP) is a condition of parathyroid hormone (@CHEMICAL$) deficiency leading to abnormal calcium and phosphate metabolism. contributes_to +94663c55de18c080164486e47af06ac98d29abdfa2bc3816664cb726306e6ad8 Despite food supplements are habitually intended to correct nutritional deficiencies or to support specific physiological functions, they are often combined with common @CHEMICAL$ therapies to improve the patient's health and/or mitigate the symptoms of many chronic diseases such as cardiovascular diseases, cystic fibrosis, @DISEASE$, liver and gastrointestinal diseases. false +9da8983f5136250a2dc057729943ea2d954da892ee51f1c74da3e25da7eab6e3 Despite @CHEMICAL$ supplements are habitually intended to correct nutritional deficiencies or to support specific physiological functions, they are often combined with common drug therapies to improve the patient's health and/or mitigate the symptoms of many chronic diseases such as cardiovascular diseases, cystic fibrosis, @DISEASE$, liver and gastrointestinal diseases. false +9f5f0364240c6dd2df7fa384fba198e7b262d57e512d7f52b5ab6ecfae7431f2 We demonstrated a causative role for cardiometabolic traits in @CHEMICAL$ stress and identified hyperlipidemia and @DISEASE$ as a major driver of oxidative stress. contributes_to +874cd7a50c349e6daa3b1b49d0224346b120aa20bd952cac23af110e4960ef1f We demonstrated a causative role for cardiometabolic traits in oxidative stress and identified hyperlipidemia and @DISEASE$ as a major driver of @CHEMICAL$ stress. contributes_to +50521167cd3eef4131273cc7698e17eec81c88bf58cfeadcd02d83f8c8ba3c23 On the other hand, drug-induced kidney proximal tubular @DISEASE$, electrolytes disturbances, and renal failure is a clinical complication associated with @CHEMICAL$ therapy. contributes_to +a10f9ac30a49a38f439fd37f329e3e7f1b8f18e4c21c0e78f8ddf15231b4a2b3 A significant increase in serum (Creatinine; Cr and blood urea nitrogen; BUN) and urine (Glucose, protein, gamma-glutamyl transferase; γ-GT, and @CHEMICAL$; ALP) biomarkers of renal injury, as well as serum electrolytes disturbances (hypokalemia and @DISEASE$), were evident in imatinib-treated animals. false +4475f8751302ab0eedd9267294e4c5b16eb5cc3bd2ced19d16623b41a6060f65 On the other hand, drug-induced kidney proximal tubular injury, electrolytes disturbances, and @DISEASE$ is a clinical complication associated with @CHEMICAL$ therapy. contributes_to +ae7e0f2daaefbe57692dfe643bb3f5fe875846f4064f7272752102025167fbc4 Further, @CHEMICAL$, a specific AKT inhibitor, was utilized to examine the connection between TRIM11 and AKT in human @DISEASE$ cells. false +bfabc576f37b7d48cacfc87c17610debe3a3f37f8eb3f694b85705b4092ef218 Further, LY294002, a specific AKT @CHEMICAL$, was utilized to examine the connection between TRIM11 and AKT in human @DISEASE$ cells. false +6f05eb8cfb474083ba203f4030b13b730be2e00283f1f044255e669793cd4195 This review summarizes the @CHEMICAL$ function of tigecycline in the treatment of @DISEASE$ and comprehensively discusses its mode of action. false +069691640b8dc10ea7a46c7ded1a6ea45842b0296066928be817c9de90620870 Angiotensin-converting @CHEMICAL$-associated @DISEASE$ in a cohort of Caucasian patients: from bed to bench. contributes_to +2d12d0b018e20a95a8d6c360d8db363f0e18c0c66597a3a99fe8579c0bde6d7d @CHEMICAL$, a human/mouse chimeric monoclonal antibody, is effective in a limited number of @DISEASE$ patients because of cetuximab resistance. treats +22fd03f14d84c8159900969060707ef09c661b78af64c31351b4254c27c2b53f Mental distress was associated with regular consumption of fast-@CHEMICAL$, a DP known to induce @DISEASE$ and depression. false +0ecbea411eede1dbdb256600b4a877fb66023489feb3fdbb305e96f6064b06f9 These findings support hypotheses of causal links between four lung carcinogens (asbestos, respirable crystalline @CHEMICAL$, chromium-VI, and nickel) and @DISEASE$. contributes_to +80ccfc4d53a3071acecb8c52384164a01304d9c2d3276330db191cf226081c06 @CHEMICAL$, in addition to its antiproliferative effect, can modify the @DISEASE$ microenvironment and this could be synergistic with bevacizumab. treats +84ad31a4fe46065f0652632e227aa2521f350542397b101046523c574f099d6e Trabectedin, in addition to its antiproliferative effect, can modify the @DISEASE$ microenvironment and this could be synergistic with @CHEMICAL$. treats +2fd9af963f48188b92cd135e866c3d087c3dc9e3a7b5f2ee235b87d96b91ab44 @CHEMICAL$ in these large @DISEASE$ is associated with higher rates of morbidity, peritoneal perforation, free margins and stenosis. false +45fab166b3a0d1fa318b8bb66e7c33c5f00f490ae4fc2407e46a295681dde536 These patients were also found to have significantly increased aspartate aminotransferase (AST) and lactate dehydrogenase (LDH), as well as decreased albumin (P < 0.05), but no difference in @CHEMICAL$ aminotransferase, ferritin, and ratio of ferritin/erythrocyte sedimentation rate (ESR) at onset of @DISEASE$ when compared to pre-MAS stages of the disease. false +a59d65c4c2409d8992f062c9b3467fb8ef3838743e9ad7faed67224746a9f892 Dietary @CHEMICAL$ was not statistically significantly associated with @DISEASE$ risk. contributes_to +eec806fd31f1a5a1a5e2da24897a3348d4a5c509be516e1198d83f1b4ca95f8f Thus, it can be a potential candidate @CHEMICAL$ for @DISEASE$ therapy. treats +66fee9f7abdfc1f41367969ad18d6777dea071186edcbb6cd7e55b65bfb2a274 Next, we used 7-11-week-old nude female mice and the following cell lines to establish tumors after injection into the left striatum of mice: C6 (rat @DISEASE$, n = 8) as primary tumors and Neuro-2A (mouse neuroblastoma, n = 11) and @CHEMICAL$-MB231 (human breast cancer, n = 8) as metastatic tumors. false +ebedac8c1c76127a895a3333ef047dc7b84bb3f77bdeda1d856d9baeae72a033 Next, we used 7-11-week-old nude female mice and the following cell lines to establish tumors after injection into the left striatum of mice: C6 (rat glioma, n = 8) as primary tumors and Neuro-2A (mouse @DISEASE$, n = 11) and @CHEMICAL$-MB231 (human breast cancer, n = 8) as metastatic tumors. false +795f16e334d6511eb08e5e97b6d7064baf7693a9ca87697a8703ee936e72dd85 High serum @CHEMICAL$18 predicts a poor prognosis in patients with laryngeal @DISEASE$. contributes_to +484f9f57bbca611c02aaaaa05f94c44936e7f79f902722873a2354a3089cf073 SA included @CHEMICAL$ dysplasia, post-traumatic arthritis (PTA), avascular necrosis (AVN), inflammatory arthropathy, @DISEASE$, and slipped capital femoral epiphysis (SCFE). false +d73dfa7becb5e7f62398488b58684a6cafa2cf9c6c5ba68d402de544d9844675 More severe liver @DISEASE$ was observed at zeitgeber time 12 (ZT12) than at zeitgeber time 0 (ZT0) in all treatment groups, suggesting that photoperiod played a critical role in @CHEMICAL$-induced liver injury. contributes_to +717bc5ada742018a491b5da4aa784bfccebe7b036dd86a0e05fac1f2c215d35b We analyzed that boldine alters the @DISEASE$ @CHEMICAL$ and liver markers enzyme levels. false +58c9f359887981901391253bcdb5951ab9a2a761182b2854e06db9458d6e7f83 We analyzed that boldine alters the @DISEASE$ biomarkers and liver markers @CHEMICAL$ levels. false +7fc6ffecd3a3df624bc18f0986d5071b09d960150aedf7c5157ddc86d0dcf592 Upregulation of erythropoietin and @CHEMICAL$ receptor in castration-resistant progression of @DISEASE$. contributes_to +feeb4525dd7f3d019750a4841d288591a45fbb7594c5d51f9baaa0570826e2c6 For @DISEASE$ patients with type II diabetes, could @CHEMICAL$ improve the survival rate? treats +74b17757945915d30deb7e8ceb11b378c1f2aa7d75a9d69c412cf4557879f0c5 These findings might indicate that the abundance of these potential markers of tumor progression is associated with the @CHEMICAL$ outcome and are independent of the @DISEASE$ origin. false +4cce0af770e37bef84f93171a6dd94db1a7fd55516c929f8e4149194842f2c82 These findings might indicate that the abundance of these potential markers of @DISEASE$ progression is associated with the @CHEMICAL$ outcome and are independent of the cancer origin. false +11cb6a0a06b9f9fe743d3bda82d80c6e153569df9034a3dc80285d3305fae005 Cost-effectiveness of abiraterone versus @CHEMICAL$ in the treatment of metastatic hormone naïve @DISEASE$. treats +69322f59233b201a348ef343bf5e6e4f8268c2be0124a753e5bdc06ebe42198c Cost-effectiveness of @CHEMICAL$ versus docetaxel in the treatment of metastatic hormone naïve @DISEASE$. treats +e5f3cf2d9e9790c4b5cfb2ee7c944b729e869e12ceed0dc3dc7532333ecf2314 Cost-effectiveness of abiraterone versus docetaxel in the treatment of metastatic @CHEMICAL$ naïve @DISEASE$. false From 0a342415662a1c6a2a63c0f2b382e23a0e8a1837 Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Sat, 25 Sep 2021 17:18:57 -0600 Subject: [PATCH 6/7] bl_chemical_to_disease v0.3 add contributes_to relation --- .github/workflows/bert-models-cicd.yaml | 100 ++++++++++++------------ MODEL_VERSIONS | 4 +- scripts/prob2label.py | 3 +- 3 files changed, 54 insertions(+), 53 deletions(-) diff --git a/.github/workflows/bert-models-cicd.yaml b/.github/workflows/bert-models-cicd.yaml index ae0fc69c..e6e65109 100644 --- a/.github/workflows/bert-models-cicd.yaml +++ b/.github/workflows/bert-models-cicd.yaml @@ -39,55 +39,55 @@ env: jobs: - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # BUILD/PUSH BLUEBERT-BASE CONTAINER IMAGE # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # BUILD/PUSH BLUEBERT-BASE CONTAINER IMAGE # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # - # build_push-bert-base: - # name: "build/push bluebert-base container image" - # runs-on: ubuntu-latest - # env: - # IMAGE_NAME: bluebert-base - # DOCKERFILE: base.Dockerfile - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - # - name: Run step when a file changes - # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - # run: | - # echo "Your file ${{ env.DOCKERFILE }} has been modified." - # - name: Set up Cloud SDK - # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - # - name: Configure Docker Authentication - # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - # run: gcloud --quiet auth configure-docker - # - name: Set MODEL_VERSION env - # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - # run: echo "MODEL_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - # - name: Build Docker Image - # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - # run: docker build --tag "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" -f ${{ env.DOCKERFILE }} . - # - name: Publish Docker Image to Google Container Registry - # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) - # run: docker push "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" + build_push-bert-base: + name: "build/push bluebert-base container image" + runs-on: ubuntu-latest + env: + IMAGE_NAME: bluebert-base + DOCKERFILE: base.Dockerfile + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + # - name: Get changed files + # id: changed-files + # uses: tj-actions/changed-files@v7 + # - name: List all modified files + # run: | + # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + # echo "$file was modified" + # done + # - name: Run step when a file changes + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + # run: | + # echo "Your file ${{ env.DOCKERFILE }} has been modified." + - name: Set up Cloud SDK + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + - name: Configure Docker Authentication + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + run: gcloud --quiet auth configure-docker + - name: Set MODEL_VERSION env + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + run: echo "MODEL_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + - name: Build Docker Image + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + run: docker build --tag "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" -f ${{ env.DOCKERFILE }} . + - name: Publish Docker Image to Google Container Registry + # if: contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) + run: docker push "gcr.io/$PROJECT_ID/$IMAGE_NAME:$MODEL_VERSION" # ----------------------------------------------------------------------------------- # # ----------------------------------------------------------------------------------- # @@ -99,7 +99,7 @@ jobs: build_push_train-bl_chemical_to_disease_or_phenotypic_feature-train: name: "build/push/train bl_chemical_to_disease_or_phenotypic_feature model" - # needs: "build_push-bert-base" + needs: "build_push-bert-base" runs-on: ubuntu-latest env: TASK_NAME: bl_chemical_to_disease_or_phenotypic_feature @@ -234,7 +234,7 @@ jobs: ENTRYPOINT_FILE: scripts/predict.entrypoint.sh BASE_DOCKERFILE: base.Dockerfile MODEL_VERSION_KEY: BL_CHEMICAL_TO_DISEASE_OR_PHENOTYPIC_FEATURE - CLASSIFICATION_LABELS: "treats false" + CLASSIFICATION_LABELS: "treats contributes_to false" DATA_FILE: data/bl_chemical_to_disease_or_phenotypic_feature/data.tsv steps: - uses: actions/checkout@v2 diff --git a/MODEL_VERSIONS b/MODEL_VERSIONS index a41addfa..ee70a5f1 100644 --- a/MODEL_VERSIONS +++ b/MODEL_VERSIONS @@ -1,5 +1,5 @@ -BASE=0.1 -BL_CHEMICAL_TO_DISEASE_OR_PHENOTYPIC_FEATURE=0.2 +BASE=0.3 +BL_CHEMICAL_TO_DISEASE_OR_PHENOTYPIC_FEATURE=0.3 BL_CHEMICAL_TO_GENE=0.1 BL_DISEASE_TO_PHENOTYPIC_FEATURE=0.1 BL_GENE_REGULATORY_RELATIONSHIP=0.1 diff --git a/scripts/prob2label.py b/scripts/prob2label.py index a7afc4e6..92dff5d4 100644 --- a/scripts/prob2label.py +++ b/scripts/prob2label.py @@ -7,7 +7,8 @@ labels = {} if model_key == 'bl_chemical_to_disease_or_phenotypic_feature': labels[0]="treats" - labels[1]="false" + labels[1]="contributes_to" + labels[2]="false" elif model_key == 'bl_chemical_to_gene': labels[0]="positively_regulates" labels[1]="negatively_regulates" From 432ab919de22f6297e84a91e13cc771307e6b34f Mon Sep 17 00:00:00 2001 From: Bill Baumgartner Date: Wed, 17 Nov 2021 11:58:52 -0700 Subject: [PATCH 7/7] Update bert-models-cicd.yaml uncommented parts that had been commented to isolate model training --- .github/workflows/bert-models-cicd.yaml | 2548 +++++++++++------------ 1 file changed, 1274 insertions(+), 1274 deletions(-) diff --git a/.github/workflows/bert-models-cicd.yaml b/.github/workflows/bert-models-cicd.yaml index e6e65109..82fed4c4 100644 --- a/.github/workflows/bert-models-cicd.yaml +++ b/.github/workflows/bert-models-cicd.yaml @@ -337,1283 +337,1283 @@ jobs: run: | docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # TRAIN BL_CHEMICAL_TO_GENE MODEL # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - - # build_push_train-bl_chemical_to_gene-train: - # name: "build/push/train bl_chemical_to_gene model" - # needs: "build_push-bert-base" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_chemical_to_gene - # DOCKERFILE: train.Dockerfile - # ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # DATA_FILE: data/bl_chemical_to_gene/data.tsv - # MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE - # AI_PLATFORM_JOB_NAME: "bl_chemical_to_gene_train_${{ github.run_number }}" - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build ChemProt Corpus container image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --tag chemprot -f data/bl_chemical_to_gene/chemprot.Dockerfile data/bl_chemical_to_gene - - # - name: Process ChemProt Corpus and append to data/bl_chemical_to_gene/data.tsv - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker run --rm -v "$PWD/data/bl_chemical_to_gene:/home/dev/output" chemprot - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - # - name: Submit a training job to AI Plaform to train and cache the model - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - # --scale-tier basic_gpu --region "$GCE_REGION" \ - # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -- \ - # NO_ARG \ - # "gs://$MODEL_STORAGE_BUCKET" - - # - name: Monitor the training job - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - # timeout-minutes: 360 - # # Initial training of the chemical_to_gene model required 250 minutes - # # using the basic_gpu tier (Tesla K80), so we set the timeout to 360 minutes - # # here to be sure to allow enough time to finish. Note: 360 minutes might be the - # # default timeout, so setting a timeout might not be necessary. - - - # # ----------------------------------------------------------------------------------- # - # # BUILD/PUSH BL_CHEMICAL_TO_GENE CLASSIFICATION CONTAINER IMAGE # - # # ----------------------------------------------------------------------------------- # - - # build_push-bl_chemical_to_gene-predict: - # name: "build/push bl_chemical_to_gene predict container" - # needs: "build_push_train-bl_chemical_to_gene-train" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_chemical_to_gene - # DOCKERFILE: predict.Dockerfile - # TRAIN_DOCKERFILE: train.Dockerfile - # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE - # CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" - # DATA_FILE: data/bl_chemical_to_gene/data.tsv - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # TRAIN BL_DISEASE_TO_PHENOTYPIC_FEATURE MODEL # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # TRAIN BL_CHEMICAL_TO_GENE MODEL # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # - # build_push_train-bl_disease_to_phenotypic_feature-train: - # name: "build/push/train bl_disease_to_phenotypic_feature model" - # needs: "build_push-bert-base" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_disease_to_phenotypic_feature - # DOCKERFILE: train.Dockerfile - # ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv - # MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE - # AI_PLATFORM_JOB_NAME: "bl_disease_to_phenotypic_feature_train_${{ github.run_number }}" - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - # - name: Submit a training job to AI Plaform to train and cache the model - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - # --scale-tier basic_gpu --region "$GCE_REGION" \ - # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -- \ - # NO_ARG \ - # "gs://$MODEL_STORAGE_BUCKET" - - # - name: Monitor the training job - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - # timeout-minutes: 180 - - # # ----------------------------------------------------------------------------------- # - # # BUILD/PUSH BL_DISEASE_TO_PHENOTYPIC_FEATURE CLASSIFICATION CONTAINER IMAGE # - # # ----------------------------------------------------------------------------------- # + build_push_train-bl_chemical_to_gene-train: + name: "build/push/train bl_chemical_to_gene model" + needs: "build_push-bert-base" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_chemical_to_gene + DOCKERFILE: train.Dockerfile + ENTRYPOINT_FILE: scripts/train.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + DATA_FILE: data/bl_chemical_to_gene/data.tsv + MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE + AI_PLATFORM_JOB_NAME: "bl_chemical_to_gene_train_${{ github.run_number }}" + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build ChemProt Corpus container image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --tag chemprot -f data/bl_chemical_to_gene/chemprot.Dockerfile data/bl_chemical_to_gene + + - name: Process ChemProt Corpus and append to data/bl_chemical_to_gene/data.tsv + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker run --rm -v "$PWD/data/bl_chemical_to_gene:/home/dev/output" chemprot + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + - name: Submit a training job to AI Plaform to train and cache the model + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + --scale-tier basic_gpu --region "$GCE_REGION" \ + --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -- \ + NO_ARG \ + "gs://$MODEL_STORAGE_BUCKET" + + - name: Monitor the training job + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + timeout-minutes: 360 + # Initial training of the chemical_to_gene model required 250 minutes + # using the basic_gpu tier (Tesla K80), so we set the timeout to 360 minutes + # here to be sure to allow enough time to finish. Note: 360 minutes might be the + # default timeout, so setting a timeout might not be necessary. + + + # ----------------------------------------------------------------------------------- # + # BUILD/PUSH BL_CHEMICAL_TO_GENE CLASSIFICATION CONTAINER IMAGE # + # ----------------------------------------------------------------------------------- # - # build_push-bl_disease_to_phenotypic_feature-predict: - # name: "build/push bl_disease_to_phenotypic_feature predict container" - # needs: "build_push_train-bl_disease_to_phenotypic_feature-train" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_disease_to_phenotypic_feature - # DOCKERFILE: predict.Dockerfile - # TRAIN_DOCKERFILE: train.Dockerfile - # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE - # CLASSIFICATION_LABELS: "has_symptom false" - # DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # TRAIN BL_GENE_REGULATORY_RELATIONSHIP MODEL # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - - # build_push_train-bl_gene_regulatory_relationship-train: - # name: "build/push/train bl_gene_regulatory_relationship model" - # needs: "build_push-bert-base" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_gene_regulatory_relationship - # DOCKERFILE: train.Dockerfile - # ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv - # MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP - # AI_PLATFORM_JOB_NAME: "bl_gene_regulatory_relationship_train_${{ github.run_number }}" - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build GeneReg Corpus container image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --tag genereg -f data/bl_gene_regulatory_relationship/genereg.Dockerfile data/bl_gene_regulatory_relationship - - # - name: Process GeneReg Corpus and append to data/bl_gene_regulator_relationship/data.tsv - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker run --rm -v "$PWD/data/bl_gene_regulatory_relationship:/home/dev/output" genereg + build_push-bl_chemical_to_gene-predict: + name: "build/push bl_chemical_to_gene predict container" + needs: "build_push_train-bl_chemical_to_gene-train" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_chemical_to_gene + DOCKERFILE: predict.Dockerfile + TRAIN_DOCKERFILE: train.Dockerfile + TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + MODEL_VERSION_KEY: BL_CHEMICAL_TO_GENE + CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" + DATA_FILE: data/bl_chemical_to_gene/data.tsv + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # TRAIN BL_DISEASE_TO_PHENOTYPIC_FEATURE MODEL # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - # - name: Submit a training job to AI Plaform to train and cache the model - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - # --scale-tier basic_gpu --region "$GCE_REGION" \ - # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -- \ - # NO_ARG \ - # "gs://$MODEL_STORAGE_BUCKET" - - # - name: Monitor the training job - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - # timeout-minutes: 180 - - # # ----------------------------------------------------------------------------------- # - # # BUILD/PUSH BL_GENE_REGULATORY_RELATIONSHIP CLASSIFICATION CONTAINER IMAGE # - # # ----------------------------------------------------------------------------------- # - - # build_push-bl_gene_regulatory_relationship-predict: - # name: "build/push bl_gene_regulatory_relationship predict container" - # needs: "build_push_train-bl_gene_regulatory_relationship-train" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_gene_regulatory_relationship - # DOCKERFILE: predict.Dockerfile - # TRAIN_DOCKERFILE: train.Dockerfile - # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP - # CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" - # DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # TRAIN BL_GENE_TO_DISEASE MODEL # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - - # build_push_train-bl_gene_to_disease-train: - # name: "build/push/train bl_gene_to_disease model" - # needs: "build_push-bert-base" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_gene_to_disease - # DOCKERFILE: train.Dockerfile - # ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # DATA_FILE: data/bl_gene_to_disease/data.tsv - # MODEL_VERSION_KEY: BL_GENE_TO_DISEASE - # AI_PLATFORM_JOB_NAME: "bl_gene_to_disease_train_${{ github.run_number }}" - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - # - name: Submit a training job to AI Plaform to train and cache the model - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - # --scale-tier basic_gpu --region "$GCE_REGION" \ - # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -- \ - # NO_ARG \ - # "gs://$MODEL_STORAGE_BUCKET" - - # - name: Monitor the training job - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - # timeout-minutes: 180 - - # # ----------------------------------------------------------------------------------- # - # # BUILD/PUSH BL_GENE_TO_DISEASE CLASSIFICATION CONTAINER IMAGE # - # # ----------------------------------------------------------------------------------- # + build_push_train-bl_disease_to_phenotypic_feature-train: + name: "build/push/train bl_disease_to_phenotypic_feature model" + needs: "build_push-bert-base" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_disease_to_phenotypic_feature + DOCKERFILE: train.Dockerfile + ENTRYPOINT_FILE: scripts/train.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv + MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE + AI_PLATFORM_JOB_NAME: "bl_disease_to_phenotypic_feature_train_${{ github.run_number }}" + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + - name: Submit a training job to AI Plaform to train and cache the model + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + --scale-tier basic_gpu --region "$GCE_REGION" \ + --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -- \ + NO_ARG \ + "gs://$MODEL_STORAGE_BUCKET" + + - name: Monitor the training job + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + timeout-minutes: 180 + + # ----------------------------------------------------------------------------------- # + # BUILD/PUSH BL_DISEASE_TO_PHENOTYPIC_FEATURE CLASSIFICATION CONTAINER IMAGE # + # ----------------------------------------------------------------------------------- # + + build_push-bl_disease_to_phenotypic_feature-predict: + name: "build/push bl_disease_to_phenotypic_feature predict container" + needs: "build_push_train-bl_disease_to_phenotypic_feature-train" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_disease_to_phenotypic_feature + DOCKERFILE: predict.Dockerfile + TRAIN_DOCKERFILE: train.Dockerfile + TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + MODEL_VERSION_KEY: BL_DISEASE_TO_PHENOTYPIC_FEATURE + CLASSIFICATION_LABELS: "has_symptom false" + DATA_FILE: data/bl_disease_to_phenotypic_feature/data.tsv + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # TRAIN BL_GENE_REGULATORY_RELATIONSHIP MODEL # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + + build_push_train-bl_gene_regulatory_relationship-train: + name: "build/push/train bl_gene_regulatory_relationship model" + needs: "build_push-bert-base" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_gene_regulatory_relationship + DOCKERFILE: train.Dockerfile + ENTRYPOINT_FILE: scripts/train.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv + MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP + AI_PLATFORM_JOB_NAME: "bl_gene_regulatory_relationship_train_${{ github.run_number }}" + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build GeneReg Corpus container image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --tag genereg -f data/bl_gene_regulatory_relationship/genereg.Dockerfile data/bl_gene_regulatory_relationship + + - name: Process GeneReg Corpus and append to data/bl_gene_regulator_relationship/data.tsv + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker run --rm -v "$PWD/data/bl_gene_regulatory_relationship:/home/dev/output" genereg + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + - name: Submit a training job to AI Plaform to train and cache the model + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + --scale-tier basic_gpu --region "$GCE_REGION" \ + --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -- \ + NO_ARG \ + "gs://$MODEL_STORAGE_BUCKET" + + - name: Monitor the training job + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + timeout-minutes: 180 + + # ----------------------------------------------------------------------------------- # + # BUILD/PUSH BL_GENE_REGULATORY_RELATIONSHIP CLASSIFICATION CONTAINER IMAGE # + # ----------------------------------------------------------------------------------- # + + build_push-bl_gene_regulatory_relationship-predict: + name: "build/push bl_gene_regulatory_relationship predict container" + needs: "build_push_train-bl_gene_regulatory_relationship-train" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_gene_regulatory_relationship + DOCKERFILE: predict.Dockerfile + TRAIN_DOCKERFILE: train.Dockerfile + TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + MODEL_VERSION_KEY: BL_GENE_REGULATORY_RELATIONSHIP + CLASSIFICATION_LABELS: "positively_regulates negatively_regulates false" + DATA_FILE: data/bl_gene_regulatory_relationship/data.tsv + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # TRAIN BL_GENE_TO_DISEASE MODEL # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + + build_push_train-bl_gene_to_disease-train: + name: "build/push/train bl_gene_to_disease model" + needs: "build_push-bert-base" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_gene_to_disease + DOCKERFILE: train.Dockerfile + ENTRYPOINT_FILE: scripts/train.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + DATA_FILE: data/bl_gene_to_disease/data.tsv + MODEL_VERSION_KEY: BL_GENE_TO_DISEASE + AI_PLATFORM_JOB_NAME: "bl_gene_to_disease_train_${{ github.run_number }}" + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + - name: Submit a training job to AI Plaform to train and cache the model + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + --scale-tier basic_gpu --region "$GCE_REGION" \ + --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -- \ + NO_ARG \ + "gs://$MODEL_STORAGE_BUCKET" + + - name: Monitor the training job + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + timeout-minutes: 180 + + # ----------------------------------------------------------------------------------- # + # BUILD/PUSH BL_GENE_TO_DISEASE CLASSIFICATION CONTAINER IMAGE # + # ----------------------------------------------------------------------------------- # - # build_push-bl_gene_to_disease-predict: - # name: "build/push bl_gene_to_disease predict container" - # needs: "build_push_train-bl_gene_to_disease-train" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_gene_to_disease - # DOCKERFILE: predict.Dockerfile - # TRAIN_DOCKERFILE: train.Dockerfile - # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # MODEL_VERSION_KEY: BL_GENE_TO_DISEASE - # CLASSIFICATION_LABELS: "causes false" - # DATA_FILE: data/bl_gene_to_disease/data.tsv - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" - - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # TRAIN BL_GENE_TO_EXPRESSION_SITE MODEL # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # - # # ----------------------------------------------------------------------------------- # + build_push-bl_gene_to_disease-predict: + name: "build/push bl_gene_to_disease predict container" + needs: "build_push_train-bl_gene_to_disease-train" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_gene_to_disease + DOCKERFILE: predict.Dockerfile + TRAIN_DOCKERFILE: train.Dockerfile + TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + MODEL_VERSION_KEY: BL_GENE_TO_DISEASE + CLASSIFICATION_LABELS: "causes false" + DATA_FILE: data/bl_gene_to_disease/data.tsv + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" + + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # TRAIN BL_GENE_TO_EXPRESSION_SITE MODEL # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # + # ----------------------------------------------------------------------------------- # - # build_push_train-bl_gene_to_expression_site-train: - # name: "build/push/train bl_gene_to_expression_site model" - # needs: "build_push-bert-base" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_gene_to_expression_site - # DOCKERFILE: train.Dockerfile - # ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # DATA_FILE: data/bl_gene_to_expression_site/data.tsv - # MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE - # AI_PLATFORM_JOB_NAME: "bl_gene_to_expression_site_train_${{ github.run_number }}" - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" - - # - name: Submit a training job to AI Plaform to train and cache the model - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ - # --scale-tier basic_gpu --region "$GCE_REGION" \ - # --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ - # -- \ - # NO_ARG \ - # "gs://$MODEL_STORAGE_BUCKET" - - # - name: Monitor the training job - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" - # timeout-minutes: 180 - - # # ----------------------------------------------------------------------------------- # - # # BUILD/PUSH BL_GENE_TO_EXPRESSION_SITE CLASSIFICATION CONTAINER IMAGE # - # # ----------------------------------------------------------------------------------- # + build_push_train-bl_gene_to_expression_site-train: + name: "build/push/train bl_gene_to_expression_site model" + needs: "build_push-bert-base" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_gene_to_expression_site + DOCKERFILE: train.Dockerfile + ENTRYPOINT_FILE: scripts/train.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + DATA_FILE: data/bl_gene_to_expression_site/data.tsv + MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE + AI_PLATFORM_JOB_NAME: "bl_gene_to_expression_site_train_${{ github.run_number }}" + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} model." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" + + - name: Submit a training job to AI Plaform to train and cache the model + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud ai-platform jobs submit training ${{ env.AI_PLATFORM_JOB_NAME }} \ + --scale-tier basic_gpu --region "$GCE_REGION" \ + --master-image-uri "gcr.io/$PROJECT_ID/$TASK_NAME-train:$MODEL_VERSION" \ + -- \ + NO_ARG \ + "gs://$MODEL_STORAGE_BUCKET" + + - name: Monitor the training job + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + sh -c ".github/workflows/monitor-ai-platform-job.sh ${{ env.AI_PLATFORM_JOB_NAME }}" + timeout-minutes: 180 + + # ----------------------------------------------------------------------------------- # + # BUILD/PUSH BL_GENE_TO_EXPRESSION_SITE CLASSIFICATION CONTAINER IMAGE # + # ----------------------------------------------------------------------------------- # - # build_push-bl_gene_to_expression_site-predict: - # name: "build/push bl_gene_to_expression_site predict container" - # needs: "build_push_train-bl_gene_to_expression_site-train" - # runs-on: ubuntu-latest - # env: - # TASK_NAME: bl_gene_to_expression_site - # DOCKERFILE: predict.Dockerfile - # TRAIN_DOCKERFILE: train.Dockerfile - # TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh - # ENTRYPOINT_FILE: scripts/predict.entrypoint.sh - # BASE_DOCKERFILE: base.Dockerfile - # MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE - # CLASSIFICATION_LABELS: "expressed_in false" - # DATA_FILE: data/bl_gene_to_expression_site/data.tsv - # steps: - # - uses: actions/checkout@v2 - # with: - # fetch-depth: 0 - # - name: Get changed files - # id: changed-files - # uses: tj-actions/changed-files@v7 - - # - name: List all modified files - # run: | - # for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do - # echo "$file was modified" - # done - - # - name: Run step when a file changes - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." - - # - name: Set up Cloud SDK - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # uses: google-github-actions/setup-gcloud@master - # with: - # project_id: ${{ secrets.GCE_PROJECT }} - # service_account_key: ${{ secrets.GCE_SA_KEY }} - # version: '290.0.1' - - # - name: Configure Docker Authentication - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # gcloud --quiet auth configure-docker - - # - name: Set MODEL_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Set BASE_VERSION env - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV - - # - name: Build Docker Image - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ - # --build-arg "TASK_NAME=$TASK_NAME" \ - # --build-arg "BASE_VERSION=$BASE_VERSION" \ - # --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ - # --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ - # --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ - # --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ - # -f ${{ env.DOCKERFILE }} . - - # - name: Publish Docker Image to Google Container Registry - # if: | - # contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || - # contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) - # run: | - # docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ No newline at end of file + build_push-bl_gene_to_expression_site-predict: + name: "build/push bl_gene_to_expression_site predict container" + needs: "build_push_train-bl_gene_to_expression_site-train" + runs-on: ubuntu-latest + env: + TASK_NAME: bl_gene_to_expression_site + DOCKERFILE: predict.Dockerfile + TRAIN_DOCKERFILE: train.Dockerfile + TRAIN_ENTRYPOINT_FILE: scripts/train.entrypoint.sh + ENTRYPOINT_FILE: scripts/predict.entrypoint.sh + BASE_DOCKERFILE: base.Dockerfile + MODEL_VERSION_KEY: BL_GENE_TO_EXPRESSION_SITE + CLASSIFICATION_LABELS: "expressed_in false" + DATA_FILE: data/bl_gene_to_expression_site/data.tsv + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - name: Get changed files + id: changed-files + uses: tj-actions/changed-files@v7 + + - name: List all modified files + run: | + for file in "${{ steps.changed-files.outputs.all_modified_files }}"; do + echo "$file was modified" + done + + - name: Run step when a file changes + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "A modified file has triggered a rebuild of the ${{ env.TASK_NAME }} predict container." + + - name: Set up Cloud SDK + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + uses: google-github-actions/setup-gcloud@master + with: + project_id: ${{ secrets.GCE_PROJECT }} + service_account_key: ${{ secrets.GCE_SA_KEY }} + version: '290.0.1' + + - name: Configure Docker Authentication + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + gcloud --quiet auth configure-docker + + - name: Set MODEL_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "MODEL_VERSION=$(grep ${{ env.MODEL_VERSION_KEY }} MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Set BASE_VERSION env + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + echo "BASE_VERSION=$(grep 'BASE' MODEL_VERSIONS | cut -f 2 -d '=')" >> $GITHUB_ENV + + - name: Build Docker Image + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker build --build-arg "PROJECT_ID=$PROJECT_ID" \ + --build-arg "TASK_NAME=$TASK_NAME" \ + --build-arg "BASE_VERSION=$BASE_VERSION" \ + --build-arg "TUNED_MODEL_VERSION=$MODEL_VERSION" \ + --build-arg "MODEL_STORAGE_BUCKET=$MODEL_STORAGE_BUCKET" \ + --build-arg "CLASSIFICATION_LABELS=${{ env.CLASSIFICATION_LABELS }}" \ + --tag "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ + -f ${{ env.DOCKERFILE }} . + + - name: Publish Docker Image to Google Container Registry + if: | + contains(steps.changed-files.outputs.all_modified_files, env.DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.TRAIN_ENTRYPOINT_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.BASE_DOCKERFILE) || + contains(steps.changed-files.outputs.all_modified_files, env.DATA_FILE) || + contains(steps.changed-files.outputs.all_modified_files, env.ENTRYPOINT_FILE) + run: | + docker push "gcr.io/$PROJECT_ID/$TASK_NAME-predict:$MODEL_VERSION" \ No newline at end of file