Data from wearable sensors and other digital health technologies (DHT), including Apple Watch, Fitbit, and Oura Ring, are increasingly used in health and research. Continuous data streams like these may provide more granular information about biology, physiology, and health versus sporadic, non-continuous measurements. Sensor data are ripe for AI/ML; algorithms to detect anomalies and other bio-related phenomena in wearable sensor data are being integrated into research, moving into clinical practice, and also being used for non-clinical health-adjacent applications (e.g. human performance optimization). While there is obvious progress, there are also challenges including regulatory, reimbursement, security, privacy, and equity. This talk reviews current technologies, clinical and other health adjacent use cases, availability of data and tools, investor landscape, and a discussion about barriers and strategies to overcome and realize a new future of health.
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Please join on May 16-17, 2024