| 5-U24-EB028990-04 |
Accelerating collaborative, cumulative, and open intervention science with an e-intervention authoring platform |
Steven Ondersma |
Michigan State University |
| 5-R01-EB027777-04 |
Achieving Optimal Motor Function in Stroke Survivors via a Human-Centered Approach to Design an mHealth Platform |
Sunghoon Lee |
University of Massachusetts Amherst |
| 5-R21-EB032229-02 |
CASI-Plus: A mHealth Tool for Client Engagement to Improve Ukraine's Assisted Partner Services (APS) Program Workflow and HIV Testing Outcomes |
Nancy Puttkammer |
University of Washington |
| 5-R21-EB028486-03 |
Estimating Trajectory of Recovery in Cardiac Rehabilitation using Mobile Health Technology and Personalized Machine Learning |
Jack Mortazavi |
Texas Engineering Experiment Station |
| 5-P41-EB028242-04 |
mHealth Center for Discovery, Optimization, and Translation of Temporally-Precise Interventions (mDOT) |
Santosh Kumar |
University of Memphis |
| 1-R01-EB035188-01 |
mHealth Technologies for Assessing Blood Perfusion in Chronic Wounds |
Wenyao Xu |
State University of New York at Buffalo |
| 1-R21-EB034562-01 |
Non-invasive measurements of central blood pressures by RF sensors |
Edwin Kan |
Cornell University |
| 1-R01-EB035403-01 |
SCH: Artificial Intelligence enabled multi-modal sensor platform for at-home health monitoring of patients |
Arindam Sanyal |
Arizona State University-Tempe Campus |
| 5-R01-EB032382-02 |
Smart-phone-integrated, non-invasive, depth-resolved optical spectroscopy for the detection of neonatal jaundice |
Audrey Bowden |
Vanderbilt University |
| 5-R01-EB031910-02 |
Smartphone-based wound infection screener and care recommender by combining thermal images and photographs using deep learning methods |
Emmanuel Agu |
Worcester Polytechnic Institute |
