Google Research introduces wearable-based CKM health age and coaching framework
AIGoogle Research introduces an investigational framework that builds a coachable health age metric from wearable data such as resting heart rate, steps, sleep, and Active Zone Minutes. Its SensorWM world model simulates 12-week what-if habit trajectories, which a language model turns into coaching plans.
AIWhy it matters.
The framework turns passive wearable data into a health age metric and simulated coaching plans, with clinicians and coaches rating the plans, useful for judging whether wearable coaching can move beyond tracking.
Source details
Google Research · research.googlePublished · added here
Original title: Using wearables to enable cardiovascular-kidney-metabolic (CKM) risk profiling for personalized coaching