Real-Time Medical Device Data Stream Processing

Create a Python microservice using asyncio and gRPC that can ingest, validate, and route high-frequency medical device telemetry from IoT health monitoring sensors. The system must handle concurrent data streams from multiple devices, perform real-time anomaly detection using machine learning models, and trigger automated alerts for critical patient health events. Include error handling for network interruptions and implement a fault-tolerant architecture that ensures no data loss during transmission.