Digital Biomarkers and Wearable Technology

Digital biomarkers are redefining the way health data is collected, analyzed, and utilized. This session highlights the application of sensors, mobile apps, and wearable devices in tracking physiological and behavioral parameters. Researchers will discuss digital signals such as heart rate variability, sleep patterns, and movement metrics as indicators of health and disease. The integration of these data streams with clinical biomarkers will be showcased to enhance predictive health monitoring.

The track will further explore the validation, security, and ethical considerations of digital biomarker deployment in clinical settings. Attendees will learn how AI algorithms process digital data to identify health trends and detect early disease signs. Real-world case studies in cardiovascular, neurological, and mental health applications will be presented. By engaging with this session, participants will discover how digital biomarkers are driving continuous, patient-centered healthcare innovation.

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