AIM-AI: an actionable, integrated, multiscale genetic map of Alzheimer’s disease powered by deep learning
Official title: AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learning
Funded at University of Texas Hlth Sci Ctr Houston · NIH-11402692 · Data updated 2026-11-12
A research project uses advanced AI to connect genetic data, biology, and brain scans to better understand Alzheimer’s disease and its risk factors.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Hlth Sci Ctr Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | September 15, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $1,290,971 |
| NIH project number | 5U01AG079847-04 |
| Project ID | NIH-11402692 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are individuals at risk for or living with Alzheimer’s disease who participate in genetic, imaging, and biomarker studies through affiliated research programs.
✕Less likely to help
Patients not directly involved in genetic, imaging, or omics studies or those without access to participating research programs may see indirect benefits only.
What this research studies
This project brings together experts in genetics, brain imaging, and AI to build a powerful, patient-focused AI framework for Alzheimer’s disease. It will integrate genetic data with other biological information and brain imaging to uncover how risk factors lead to disease at multiple scales. The team will develop methods that translate complex data into insights that could guide future studies and potential therapies. The work aims to make genetic findings more actionable for researchers studying Alzheimer’s and for patients who may eventually benefit from improved diagnostics and treatments.
Why it matters
Potential benefit: If successful, the approach could lead to clearer biomarkers and more targeted research directions that may eventually improve diagnosis and treatment options for people with Alzheimer’s disease.
How similar studies have gone: Related AI and multi-omics approaches have shown promise in unveiling disease mechanisms and guiding later translational work, though this exact framework is innovative.
Where this research is happening
-
University of Texas Hlth Sci Ctr Houston
Houston, United States Active
Researchers
- Principal investigator: Zhao, Zhongming — University of Texas Hlth Sci Ctr Houston
- Study coordinator: Zhao, Zhongming
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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.