Google Research has released a wearable device-driven CKM risk assessment framework
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Google Research releases a wearable device-driven CKM risk assessment framework that predicts future health trajectories through an interpretable health age model (CHA). The framework is trained on wearable data from 2.2 million weeks using the SensorWM model, providing personalized 12-week counterfactual health simulations and generating clinically validated guidance plans with language models. The CHA model integrates modifiable indicators such as heart rate, steps, and sleep to predict disease risk over 68,000 person-years, improving the prediction accuracy of clinical indicators.
AI-written from the reports · Updated 3 days ago
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- Google ResearchGoogle Research has released a wearable device-driven CKM risk assessment framework
Google Research releases a wearable device-driven CKM risk assessment framework, predicting future health trajectories through an explainable health age model (CHA). The framework is trained on wearable data from 2.2 million weeks using the SensorWM model, providing personalized 12-week counterfactual health simulations combined with language models to generate clinically validated guidance plans. The CHA model integrates modifiable indicators such as heart rate, steps, and sleep to predict disease risk over 68,000 person-years, improving the predictive performance of clinical indicators.
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