SensorFM uses a foundation model to interpret diverse time-series data from wearable health sensors. The system transforms raw biometric signals into actionable health insights without requiring task-specific training. This approach simplifies how developers build health-monitoring apps. It reduces the need for custom models for every new wearable device or health metric.