Creating a comprehensive genetic map of Alzheimer's disease using artificial intelligence
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-10927217 · Data updated 2026-11-12
This study is working on a smart computer program to help understand how genes and brain scans are connected to Alzheimer's disease, with the hope that it will lead to better ways to diagnose and treat the condition for patients like you.
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 | 2024 |
| Award (this year) | $1,291,066 |
| NIH project number | 5U01AG079847-02 |
| Project ID | NIH-10927217 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with Alzheimer's disease or those at risk due to genetic factors.
✕Less likely to help
Patients with other forms of dementia unrelated to Alzheimer's may not receive benefits from this research.
What this research studies
This research aims to develop an advanced AI framework called AIM-AI to analyze genetic, omics, and neuroimaging data related to Alzheimer's disease. By leveraging deep learning techniques, the project seeks to uncover critical genetic factors that contribute to the disease's diagnosis and progression. The interdisciplinary team will focus on making these findings actionable and integrated, allowing for a better understanding of how genetic factors influence Alzheimer's at a cellular level. Patients may benefit from insights that could lead to improved diagnostic tools and targeted therapies.
Why it matters
Potential benefit: If successful, this research could lead to more effective diagnostic tools and personalized treatment options for Alzheimer's disease patients.
How similar studies have gone: Previous research has shown promise in using AI to analyze genetic data for various diseases, indicating potential success for this novel approach in Alzheimer's.
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
Related research
Other NIH-funded projects on the same topics.
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AIM-AI: an actionable, integrated, multiscale genetic map of Alzheimer’s disease powered by deep learning
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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.