SensorFM utilizes a foundation model to interpret diverse time-series data from wearable sensors. This framework transforms raw biometric signals into actionable health insights without requiring task-specific training. It enables Google to standardize how AI processes heart rate and activity metrics. Practitioners can now deploy more flexible, general-purpose models for personalized health monitoring.