SensorFM leverages a foundation model architecture to interpret diverse wearable sensor streams. This framework converts raw physiological signals into actionable health insights without requiring task-specific training for every new device. It streamlines how Google processes biometric data. Practitioners can now deploy a single model across multiple wearable modalities to improve diagnostic accuracy.