Patient-Centric Disease Management Using Automatically Inferred Behavioral Biomarkers and Sensor-Supported Contextual Self-Report:


2015 to 2018


Researchers in the behavioral biomarkers project are developing software techniques to combine and transform data streams from mobile tracking devices into clinically meaningful, actionable and personalized indicators of an individual's health.


How can we transform behavioral datastreams collected by the computer into robust measures relevant to individual health and decision making.


We are currently working with clinicians at Weill Cornell and computer scientists at Cornell Tech to develop robust systems for automatically inferred behavioral biomarkers and sensor supported self reports for patients in pain.


Developing better measures for health care and decision making.

Submitted by: 

  • Gay, Geraldine K

Researchers involved: 

  • Gay, Geri
  • Estrin, Deborah
  • Choudhury, Tanzeem

International focus: 

  • United States of America

United States focus: 

  • New York