Health Digital Twin PoC

[EduardPetraeus]

Problem

No predictive simulation capability based on personal health model.

Proposed Solution

1. Digital twin model: health_platform/ai/digital_twin.py
2. Build complete personal health model from historical data
3. Capabilities:
   • Simulate: "What happens if I increase deep sleep by 10%?"
   • Predict: "Based on current trajectory, where will my VO2max be in 6 months?"
   • Recommend: "What single change would improve my composite score most?"
4. Model approach: ensemble of NeuralProphet + linear models + learned correlations
5. Uncertainty quantification: confidence intervals on all predictions

Dependencies

• All other phases complete
• Sufficient historical data (>1 year)

Acceptance Criteria

• Simulation produces plausible counterfactual scenarios
• Predictions include confidence intervals
• Recommendations are actionable and data-backed