Today on the blog we introduce an investigational ML 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, & expands to routine blood biomarkers to track early cardiovascular-kidney-metabolic (CKM) health.
Learn more: https://goo.gle/4zFlqqF
