Using AI to analyze retina images for genetic insights into eye diseases
Deep-Learning-Derived Endophenotypes from Retina Images
This study is looking at eye images to find out how our genes might be linked to common eye problems like diabetic retinopathy, using advanced computer technology to help improve how we understand and treat these conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Hlth Sci Ctr Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10877005 on NIH RePORTER |
What this research studies
This research aims to develop an innovative artificial intelligence approach to genome-wide association studies (GWAS) by analyzing retina images to identify genetic factors linked to common eye disorders, particularly diabetic retinopathy. By utilizing deep learning algorithms, the study will extract detailed quantitative data from optical coherence tomography scans and fundus images, which will help uncover new genetic loci associated with these conditions. This method seeks to enhance the understanding of the genetic basis of eye diseases and improve diagnostic and therapeutic strategies. Patients' retina images will be crucial in this process, allowing for a more objective analysis of genetic influences on eye health.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with diabetic retinopathy or those undergoing routine eye examinations who can provide retina images for analysis.
Not a fit: Patients without any eye diseases or those who do not have retina images available for analysis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and targeted therapies for patients with eye diseases, particularly those affected by diabetic retinopathy.
How similar studies have performed: Previous research has shown promise in using AI and imaging data for genetic studies, indicating that this approach could yield significant insights into eye diseases.
Where this research is happening
Houston, United States
- University of Texas Hlth Sci Ctr Houston — Houston, United States (Active)
Researchers
- Principal investigator: Zhi, Degui — University of Texas Hlth Sci Ctr Houston
- Study coordinator: Zhi, Degui
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.