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Google Research introduces an investigational health-age ML framework

AIGoogle Research introduces an investigational ML framework that translates passive wearable signals into a modifiable, coachable health age. The framework uses an action-conditioned world model to simulate personalized 12-week "what-if" habit trajectories.
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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

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Original title: Today on the blog we introduce an investigational ML framework that translates passive wearable signals into a modifiable coachable healt...