Using AI to find body changes linked to diabetes and aging
Official title: Machine Learning-based Imaging Biomarkers for Metabolic and Age-related Diseases
Funded at Delaware State University · NIH-11095737 · Data updated 2026-11-12
This project uses advanced imaging and artificial intelligence to better understand how body changes relate to conditions like type 2 diabetes and aging.
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 | 2025 |
| Award (this year) | $325,600 |
| NIH project number | 5U54MD015959-04 |
| Project ID | NIH-11095737 on NIH RePORTER |
Who could benefit from this research
✓Could help
This research is relevant for adults aged 21 and older who have or are at risk for type 2 diabetes, cardiovascular disease, obesity, osteoporosis, or sarcopenia.
✕Less likely to help
Patients who do not have or are not at risk for metabolic or age-related diseases, or those not requiring advanced imaging for diagnosis or monitoring, may not directly benefit from this specific research.
What this research studies
Many people worldwide are affected by age-related and metabolic diseases such as type 2 diabetes, heart disease, and obesity. These conditions are often linked to changes in how our bodies are composed, including muscle and fat distribution. This project aims to develop new, non-invasive ways to look at these body changes using advanced medical imaging. By applying artificial intelligence to these images, we hope to automatically identify patterns that can help us understand and track these diseases. This could lead to earlier detection and more personalized care.
Why it matters
Potential benefit: If successful, this work could provide new, non-invasive tools for earlier detection and better monitoring of metabolic and age-related diseases, potentially leading to more effective treatments.
How similar studies have gone: While individual components like imaging and AI are established, this project aims to develop novel, automated imaging biomarkers for these specific conditions, integrating advanced AI analysis on a large scale.
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.