Next-Generation Wearable AI for Precision COPD Risk and Care
Official title: SCH: Next-Generation Multimodal Wearable Sensing and Integrative AI Systems for Precision COPD Risk Prediction and Clinical Decision Support
Funded at University of Memphis · NIH-11575360 · Data updated 2026-11-12
A patient-centered project uses a smart wearable and AI to predict COPD flare-ups and support doctors in making better care decisions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Memphis NIH-funded |
| Lab location | 1 site (Memphis, United States) |
| Project start | September 15, 2026 |
| Project end | May 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $309,017 |
| NIH project number | 1R01HL192021-01 |
| Project ID | NIH-11575360 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with COPD who are willing to wear the device and participate in monitoring and data sharing.
✕Less likely to help
Patients who are unable to wear the device or participate in data sharing may not directly benefit.
What this research studies
This project will combine a wearable device that tracks breathing and environmental factors with advanced AI to tailor COPD risk predictions for individual patients. Data from the wearable, plus satellite and local environmental data, will be analyzed to guide personalized care and improve clinical decisions. The study plans to enroll about 100 COPD patients across two seasonal monitoring periods to test real-time monitoring and decision-support capabilities. The goal is a scalable system that could be adopted broadly to reduce hospitalizations and narrow health disparities. Researchers will work with patients and clinicians to integrate the technology into everyday care while ensuring safety and privacy.
Why it matters
Potential benefit: If successful, patients with COPD could experience fewer exacerbations and more timely, personalized care.
How similar studies have gone: Previous work shows promise for wearable and AI approaches in COPD care, but this project aims for scalable, real-time integration with environmental data.
Where this research is happening
-
University of Memphis
Memphis, United States Active
Researchers
- Principal investigator: Karimi, Maryam Elisa — University of Memphis
- Study coordinator: Karimi, Maryam Elisa
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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.