Leveraging Multimodal Sensors to Give More Precise Endpoints
Digital health technologies, including wearable, multimodal sensors and connected devices, enable us to simultaneously measure human physiology via heart rate and temperature and activity from body acceleration. When these different signal modalities are combined through statistical and machine learning approaches, they can provide more comprehensive digital phenotyping of patients, enabling the derivation of more precise and clinically meaningful endpoints for use in clinical trials.
As part of the Mobile in Clinical Trials annual conference, Current Health’s Dr. Matt Wilkes joins a panel of research leaders to discuss the benefits of multimodal sensors in clinical research.
This session covers:
- Recent applications of multimodal sensors
- Technical and methodological development opportunities
- Future trends