Improving the Temporal Precision of Precision Medicine via Mobile Health (mHealth)

Date: 

Fri May 15, 2015

Host: 

Santosh Kumar
University of Memphis

Category: 

Data Modeling and Integration

VIEW RECORDING

 

ABSTRACT

In January 2015, President Obama unveiled the Precision Medicine Initiative – an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person. Mobile Health (or mHealth) can significantly contribute to realizing this vision. Recent advances in wearable sensing and mobile computing have opened up unprecedented opportunities to quantify dynamic changes in an individual’s health state as well as key physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk, anytime and anywhere. Such real-time monitoring can optimize care delivery via delivering just-in-time mobile health (mHealth) interventions. Doing so can bring temporal precision in Precision Medicine. This talk will describe the progress being made by the NIH Center of Excellence on Mobile Sensor Data-to-Knowledge (http://md2k.org) towards the design of sensor-triggered just-in-time mHealth interventions.

 

SPEAKER BIOGRAPHY

Santosh Kumar is an Associate Professor of Computer Science at the University of Memphis. He received his Ph.D. in Computer Science and Engineering from the Ohio State University in 2006, where his dissertation won presidential fellowship. In 2010, the Popular Science magazine named him one of America’s ten most brilliant scientists under the age of 38 (called “Brilliant Ten”) for leading the AutoWitness GPS-less burglar tracking project and AutoSense wearable sensor project for mobile measurement of stress and addictive behaviors. His current research interests include mobile sensor systems and mobile health (mHealth). He is currently director of the recently awarded NIH Center of Excellence in Mobile Sensor Data-to-Knowledge (http://md2k.org) that involves 20+ investigators in computing, engineering, behavioral science, and medicine from 11 institutions.