Improving brain imaging techniques for Alzheimer's disease diagnosis
Official title: SCH: Novel and Interpretable Statistical Learning for Brain Images in AD/ADRDs
Funded at George Mason University · NIH-11076331 · Data updated 2026-11-12
This study is working on new ways to look at brain scans to find better signs of Alzheimer's disease, helping doctors make more accurate diagnoses and treatment plans for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | George Mason University NIH-funded |
| Lab location | 1 site (Fairfax, United States) |
| Project start | September 1, 2023 |
| Project end | April 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $268,210 |
| NIH project number | 5R01AG085616-03 |
| Project ID | NIH-11076331 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals showing early signs of Alzheimer's disease or related dementias.
✕Less likely to help
Patients with advanced Alzheimer's disease or those not exhibiting any cognitive decline may not benefit from this research.
What this research studies
This research focuses on enhancing the analysis of brain imaging data to better identify biomarkers for Alzheimer's disease and related disorders. By utilizing advanced three-dimensional imaging techniques, the study aims to capture more detailed information that traditional one-dimensional measures may miss. The research team will develop new statistical models and computing tools to analyze complex imaging data alongside genetic and clinical information. This approach seeks to improve the accuracy of diagnosis and treatment planning for patients with Alzheimer's and related conditions.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and early diagnoses of Alzheimer's disease, improving patient outcomes.
How similar studies have gone: Previous research has shown promise in using advanced imaging techniques for Alzheimer's diagnosis, suggesting that this approach could yield significant advancements.
Where this research is happening
-
George Mason University
Fairfax, United States Active
Researchers
- Principal investigator: Wang, Lily — George Mason University
- Study coordinator: Wang, Lily
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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.