Developing an AI platform to improve the understanding of autoimmune uveitis
A generalizable deep learning platform for unifying quantification of experimental autoimmune uveitis
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 ID | NIH-11063056 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals, particularly youth and young adults, who are affected by autoimmune uveitis or related conditions.
Not a fit: Patients with non-autoimmune related eye conditions may not receive benefit from this research.
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 performed: 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
Memphis, United States
- 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
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 below.