Enabling precise, multi-sense digital interventions for chronic disease using real-time data
Official title: TR&D1 - Enabling the Discovery and Synthesis of Multi-modality Temporally-Precise Interventions from Uncertain mHealth Biomarkers
Funded at University of Memphis · NIH-11336103 · Data updated 2026-11-12
A center-led effort uses AI and wearable data to design personalized, moment-by-moment digital interventions that help people with chronic diseases better manage their health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Memphis NIH-funded |
| Lab location | 1 site (Memphis, United States) |
| Project start | July 15, 2020 |
| Project end | April 30, 2031 |
| Funding year | 2026 |
| Award (this year) | $331,184 |
| NIH project number | 2P41EB028242-06 |
| Project ID | NIH-11336103 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals living with chronic diseases who use wearable or mobile health technologies could participate in related studies and benefit from future interventions.
✕Less likely to help
People without chronic disease or without access to or interest in digital health tools may not directly benefit.
What this research studies
This grant supports developing AI methods and statistical tools to understand real-time, multimodal data from wearables and other sources. Researchers will create models that predict momentary health states and identify factors that lead to adverse outcomes, even when data are incomplete. The project aims to generate context-aware, personalized interventions that can be delivered to individuals to improve health behaviors and chronic disease management. The work emphasizes building foundational models and pipelines to support future digital interventions.
Why it matters
Potential benefit: If successful, patients with chronic diseases could receive smarter, timely digital support tailored to their current state and environment.
How similar studies have gone: Previous work in digital health and adaptive interventions has shown promise, but this project seeks to advance foundational modeling and real-time personalization at scale.
Where this research is happening
-
University of Memphis
Memphis, United States Active
Researchers
- Principal investigator: Rehg, James M. — University of Memphis
- Study coordinator: Rehg, James M.
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.