SensorFM utilizes a foundation model architecture to interpret diverse wearable health signals. The system processes time-series data from sensors to identify health patterns without requiring task-specific training. This approach allows Google to build a general-purpose interface for biometric monitoring, reducing the need for custom models for every new medical device.