Using wearables to enable cardiovascular-kidney-metabolic (CKM) risk profiling for personalized coaching

November 11, 2026Zeinab Esmaeilpour and Ahmed A. Metwally, Research Scientists, Google Research We introduce an investigational machine learning framework that translates passive wearable signals into a modifiable coachable health age, uses an action-conditioned world model to simulate personalized 12-week “what-if” habit trajectories, and expands to routine blood biomarkers to track early cardiovascular-kidney-metabolic (CKM) health. Quick links Coachable health age paper CKM wearables paper Heart disease, kidney conditions, and metabolic disorders like type 2 diabetes aren’t isolated, they form an interconnected web known as…