New methods to analyze complex biomedical images for better understanding of Alzheimer's disease
Official title: Statistical models for the integrative analysis of complex biomedical images with manifold structure
Funded at University of Washington · NIH-10796918 · Data updated 2026-11-12
This study is working on new ways to look at brain images to better understand Alzheimer's disease and how it progresses, so that doctors can improve diagnosis and treatment options for patients.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | March 1, 2023 |
| Project end | February 28, 2026 |
| Funding year | 2024 |
| Award (this year) | $75,407 |
| NIH project number | 5R03EB033001-02 |
| Project ID | NIH-10796918 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Alzheimer's disease or those at risk of developing it.
✕Less likely to help
Patients with other forms of dementia unrelated to Alzheimer's may not benefit from this research.
What this research studies
This research focuses on developing advanced statistical methods to analyze complex biomedical images, particularly those related to Alzheimer's disease. By utilizing modern multimodal imaging data, the project aims to uncover the biological mechanisms behind disease progression and improve diagnostic capabilities. The approach involves modeling data that reflects the intricate structures of the brain, allowing for a more nuanced understanding of how various factors, such as genetics and treatment types, relate to disease status. The resulting tools will be made freely available for researchers to enhance their studies in this field.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and the identification of new biomarkers for Alzheimer's disease.
How similar studies have gone: Other research has shown promise in using advanced imaging analysis techniques to improve understanding of neurological conditions, indicating that this approach has potential for success.
Where this research is happening
-
University of Washington
Seattle, United States Active
Researchers
- Principal investigator: Lila, Eardi — University of Washington
- Study coordinator: Lila, Eardi
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.