Using smart devices and machine learning to improve health interventions for chronic diseases
Official title: Leveraging ML algorithms and data integration techniques to improve efficiency of causal moderation analyses of micro-randomized trial data
Funded at University of Michigan at Ann Arbor · NIH-11035058 · Data updated 2026-11-12
This study is looking to improve health apps on your phone or smartwatch to give you personalized support when managing chronic diseases, so you get help exactly when you need it.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | March 1, 2024 |
| Project end | November 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $275,396 |
| NIH project number | 5R01GM152549-02 |
| Project ID | NIH-11035058 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals managing chronic conditions such as cardiovascular diseases who use or are willing to use smart devices for health monitoring.
✕Less likely to help
Patients who do not have access to smart devices or are not managing chronic diseases may not benefit from this research.
What this research studies
This research focuses on enhancing the effectiveness of digital health interventions delivered through smart devices like smartphones and smartwatches. By utilizing machine learning algorithms, the project aims to analyze data from micro-randomized trials to better understand how and when to provide personalized support to patients managing chronic diseases. The goal is to create adaptive interventions that respond to individual needs in real-time, making healthcare more accessible and effective. Patients will benefit from tailored interventions that are delivered at the right moment based on their unique circumstances.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized health interventions for patients with chronic diseases.
How similar studies have gone: Previous research has shown promise in using machine learning and mobile health technologies for chronic disease management, indicating that this approach could be effective.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Dempsey, Walter — University of Michigan at Ann Arbor
- Study coordinator: Dempsey, Walter
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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.