Using wearables to enable cardiovascular-kidney-metabolic (CKM) risk profiling for personalized coaching
AI-generated summary Google Research introduces an investigational machine learning framework that translates passive wearable signals into a modifiable coachable health age to track early cardiovascular-kidney-metabolic health. Google Research says the framework uses an action-conditioned world model to simulate personalized 12-week what-if habit trajectories and expands to routine blood biomarkers.