Predicting 2-year risk of age-related macular degeneration with AI
Official title: A Model for Predicting 2-Year Risk of Incident Late Age-related Macular Degeneration
Funded at Ihealthscreen, INC. · NIH-11399767 · Data updated 2026-11-12
A patient-friendly AI tool is being developed to predict who is at higher risk of developing late AMD within the next two years.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ihealthscreen, INC. NIH-funded |
| Lab location | 1 site (Richmond Hill, UNITED STATES) |
| Project start | May 1, 2021 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $698,032 |
| NIH project number | 5R44EY031202-06 |
| Project ID | NIH-11399767 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are adults with dry or intermediate AMD or those at risk of progressing to late AMD.
✕Less likely to help
Patients without AMD or with advanced disease may not directly benefit from this tool.
What this research studies
This project builds an AI-based software called iPredict-AMD to screen for and predict the onset of late AMD. It aims to validate the model in prospective clinical settings so clinicians can identify at-risk patients earlier. The work will involve human participants in trials and studies to ensure the tool is accurate, usable, and safe for real-world use. If successful, the tool could help guide treatment decisions and monitoring for people with or at risk of AMD.
Why it matters
Potential benefit: If successful, the tool could help doctors catch AMD earlier and tailor monitoring and treatment to individual risk.
How similar studies have gone: AI-based screening tools for AMD have shown promise, but prospective validation is ongoing.
Where this research is happening
-
Ihealthscreen, INC.
Richmond Hill, United States Active
Researchers
- Principal investigator: Bhuiyan, Alauddin — Ihealthscreen, INC.
- Study coordinator: Bhuiyan, Alauddin
Related research
Other NIH-funded projects on the same topics.
-
AI-powered tool to predict 2-year risk of late AMD
A new AI software helps people at risk of age-related macular degeneration understand their 2-year risk and what steps could protect their vision.
-
Active cycling program to support vision and daily living in Veterans with AMD
A 6-month online group spin cycling program is tested to help Veterans with age-related macular degeneration maintain vision and improve daily functioning.
-
Transplanting stem-cell–derived retinal cells to treat dry AMD
A medical team is testing a stem cell therapy to replace damaged retinal cells in adults with dry age-related macular degeneration.
-
RPESC-derived RPE Transplant for Dry AMD in adults
A new cell-based therapy derived from RPESCs is being tested to help adults with dry age-related macular degeneration regain vision.
-
New high-resolution OCT biomarkers to map early AMD changes
A new imaging approach using advanced OCT methods will help doctors see early changes in age-related macular degeneration to guide treatment and improve quality of life for older adults.
-
Targeting inflammation in age-related macular degeneration
Aims to understand how inflammation drives age-related macular degeneration in people and explore new targets to slow or stop vision loss.
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.