Using advanced imaging techniques to understand and track age-related macular degeneration.
Official title: Learning-based 3D modeling of AMD to assess disease progression and response to treatment
Funded at Duke University · NIH-10592517 · Data updated 2026-11-12
This study is looking at how to spot early signs of age-related macular degeneration (AMD) using advanced computer technology, so we can help older adults keep their vision and better understand how the disease progresses.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project start | September 30, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $433,841 |
| NIH project number | 1R21EY033480-01A1 |
| Project ID | NIH-10592517 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are older adults who are at risk of developing advanced age-related macular degeneration.
✕Less likely to help
Patients with early-stage AMD who do not exhibit any risk factors for progression may not benefit from this research.
What this research studies
This research focuses on age-related macular degeneration (AMD), a leading cause of vision loss in older adults. By utilizing deep learning and automated image analysis, the project aims to develop computational methods that can identify early signs of AMD and predict its progression. The researchers will analyze various imaging techniques, such as Optical-Coherence Tomography and Fundus Angiography, to discover biomarkers that indicate disease severity and treatment response. This approach seeks to enhance our understanding of AMD and improve visual outcomes for patients.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and better management of AMD, potentially preserving vision for many patients.
How similar studies have gone: Other research has shown promise in using advanced imaging and machine learning techniques to improve understanding and treatment of AMD, indicating that this approach has potential for success.
Where this research is happening
-
Duke University
Durham, United States Active
Researchers
- Principal investigator: Hadziahmetovic, Majda — Duke University
- Study coordinator: Hadziahmetovic, Majda
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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.