From Waveforms to Diagnosis - Scaling Sensor Intelligence for Healthcare

Explore how artificial intelligence transforms raw sensor data into actionable healthcare insights in this conference talk from the Computational Genomics Summer Institute. Discover cutting-edge approaches to scaling sensor intelligence for medical applications, including the development of foundation models for wearable devices and self-supervised learning techniques for periodic signal analysis. Learn about breakthrough research in using nocturnal breathing patterns for Parkinson's disease detection and assessment, demonstrating how AI can extract diagnostic information from continuous physiological monitoring. Examine the SensorLM framework that enables machines to understand the language of wearable sensors, and understand how these technologies are being scaled to create robust foundation models for healthcare applications. Gain insights into the intersection of computational methods, sensor technology, and clinical medicine, with practical examples of how waveform analysis can lead to automated diagnosis and health monitoring solutions.