What can we learn about COVID-19 from persons who have contracted the virus and recovered?
A wearable device for asthma symptom monitoring
Wearable technology for the study of eating behavior
A device for continuous, non-invasive monitoring of a patient's cardiac hemodynamic status.
This project uses digital health technology to model behavior in opioid use disorder (OUD) patients.
Developing computational tools to improve digital self-management of diabetes
This project evaluates factors that affect users’ receptivity to just-in-time adaptive interventions
Our goal is to develop a non-invasive mobile device that can accurately and robustly monitor glucose
Investigating if mobile sensing from phones can predict brain functional connectivity
Advanced integrated circuits to improve the accuracy of prostate biopsy procedures.
Developing computational jewelry to provide the properties essential for body-area mHealth networks
Developing methods to continuously and unobtrusively authenticate clinical staff to tablet computers
We are computer scientists, engineers and medical professionals who are passionate about health, technology, sensors, and data.