Google Research has introduced SensorFM, a population-scale foundation model designed to understand wearable health data from devices such as Fitbit and Pixel Watch.
Trained on more than one trillion minutes of multimodal sensor data from five million participants, SensorFM learns general health representations that transfer across cardiovascular, metabolic, sleep, mental health, and lifestyle tasks.
Google reports that the model outperformed conventional supervised approaches on 34 of 35 health prediction tasks while remaining robust to missing sensor data. The company says SensorFM provides a scalable foundation for personalized health monitoring, long-term risk assessment, and future AI-powered health assistants.
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