SensorFM leverages a foundation model architecture to interpret diverse time-series data from wearable devices. This framework treats health sensors as a unified language, enabling zero-shot generalization across different hardware. Google AI researchers aim to standardize how AI processes biometric signals. This reduces the need for device-specific training sets in clinical monitoring.