SensorFM uses a foundation model to interpret diverse time-series data from wearable devices. This framework transforms raw biometric signals into actionable health insights without requiring task-specific training. Google researchers demonstrate its ability to generalize across different sensors. Practitioners can now deploy a single model for multiple health-monitoring applications instead of building fragmented pipelines.