SensorFM leverages a foundation model architecture to interpret complex time-series data from wearable devices. This framework transforms raw biometric signals into actionable health insights without requiring task-specific training. It enables Google to build a generalized interface for health monitoring. Practitioners can now apply pre-trained weights to diverse wearable sensor streams.