Machine learning imaging biomarkers for diabetes and age-related diseases
Official title: Machine Learning-based Imaging Biomarkers for Metabolic and Age-related Diseases
Funded at Delaware State University · NIH-11368463 · Data updated 2026-11-12
A large, doctor-led project uses AI to analyze medical scans to find imaging patterns that reflect diabetes and aging, aiming to help people understand and manage these conditions better.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Delaware State University NIH-funded |
| Lab location | 1 site (Dover, United States) |
| Project start | September 20, 2022 |
| Project end | May 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $309,199 |
| NIH project number | 5U54MD015959-05 |
| Project ID | NIH-11368463 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with or at risk for type 2 diabetes, cardiovascular disease, obesity, osteoporosis, or sarcopenia.
✕Less likely to help
Individuals without these conditions or without access to imaging-based monitoring may see limited direct benefits.
What this research studies
This project will use advanced imaging data and machine learning to identify biomarkers linked to type 2 diabetes and other aging-related diseases. By analyzing body composition, fat distribution, and muscle changes over time, the researchers hope to find non-invasive signals that correspond to disease risk and progression. The goal is to develop automated tools that can help clinicians monitor patients and tailor treatments based on imaging-derived insights. The work emphasizes broad, real-world impact and aims to benefit adults as they age and manage metabolic conditions.
Why it matters
Potential benefit: If successful, patients could receive more precise, non-invasive monitoring and personalized care plans based on imaging biomarkers.
How similar studies have gone: Previous imaging studies with AI have shown promise in identifying disease patterns, but this project seeks to develop novel, automated biomarkers for metabolic and age-related diseases.
Where this research is happening
-
Delaware State University
Dover, United States Active
Researchers
- Principal investigator: Makrogiannis, Sokratis — Delaware State University
- Study coordinator: Makrogiannis, Sokratis
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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.