Developing an AI platform to improve the understanding of autoimmune uveitis
Official title: A generalizable deep learning platform for unifying quantification of experimental autoimmune uveitis
Funded at University of Tennessee Health Sci Ctr · NIH-11063056 · Data updated 2026-11-12
This study is working on a smart computer program to help doctors better understand and measure autoimmune uveitis, a condition that can affect your vision, so they can find new ways to diagnose and treat it more effectively.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Tennessee Health Sci Ctr NIH-funded |
| Lab location | 1 site (Memphis, United States) |
| Project start | February 1, 2025 |
| Project end | January 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $231,000 |
| NIH project number | 1R21EY036199-01A1 |
| Project ID | NIH-11063056 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals, particularly youth and young adults, who are affected by autoimmune uveitis or related conditions.
✕Less likely to help
Patients with non-autoimmune related eye conditions may not receive benefit from this research.
What this research studies
This research focuses on creating a deep learning platform that aims to unify the quantification of experimental autoimmune uveitis, a condition that can lead to severe visual impairments. By utilizing advanced artificial intelligence techniques, the project seeks to enhance the accuracy and reproducibility of disease assessments, which are currently hampered by variability among observers. The study will leverage animal models to explore the mechanisms of human uveitis and evaluate new therapies. If successful, this approach could lead to better diagnostic methodologies and treatment options for patients suffering from uveitis.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic accuracy and treatment options for patients with autoimmune uveitis.
How similar studies have gone: Other research has shown success in applying AI models in ophthalmology, indicating potential for this novel approach in experimental autoimmune uveitis.
Where this research is happening
-
University of Tennessee Health Sci Ctr
Memphis, United States Active
Researchers
- Principal investigator: Yousefi, Siamak — University of Tennessee Health Sci Ctr
- Study coordinator: Yousefi, Siamak
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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.