Google Unveils Wearable Health Age Framework to Simulate Habit Trajectories

Google researchers introduce SensorWM, a machine learning framework that converts passive smartwatch biometrics into a modifiable coachable health age and uses an action-conditioned world model to simulate personalized 12-week what-if habit trajectories. The framework extends to routine blood biomarkers for early cardiovascular-kidney-metabolic (CKM) risk tracking, grounding personalized coaching in validated clinical prognostics.