Finding undiagnosed Alzheimer's disease in African American and Hispanic populations
Official title: Identifying Undiagnosed Alzheimer’s Disease in Understudied Populations
Funded at University of California Los Angeles · NIH-10985209 · Data updated 2026-11-12
This study is working to help doctors better identify Alzheimer's disease in African American and Hispanic communities by using advanced technology to look at health records and genetic information, so that more people can get the right diagnosis and support they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | September 15, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $767,193 |
| NIH project number | 1R01AG085518-01A1 |
| Project ID | NIH-10985209 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include non-Hispanic African American and Hispanic individuals who may be at risk for Alzheimer's disease but have not yet received a diagnosis.
✕Less likely to help
Patients who are already diagnosed with Alzheimer's disease or those outside the targeted demographic groups may not benefit from this research.
What this research studies
This research aims to improve the diagnosis of Alzheimer's disease (AD) in underrepresented groups, particularly African American and Hispanic populations. By analyzing electronic health records (EHR) using advanced machine learning techniques, the study seeks to identify patients who may have undiagnosed AD based on their medical history and disease trajectories. Additionally, the research will incorporate genetic information to enhance the accuracy of these predictions. The goal is to create a more effective diagnostic model that addresses the unique health patterns in these communities.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of Alzheimer's disease for patients in understudied populations.
How similar studies have gone: While there have been studies on Alzheimer's diagnosis, this approach of combining EHR data with genetic information in understudied populations is novel and has not been extensively tested.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Chang, Timothy S — University of California Los Angeles
- Study coordinator: Chang, Timothy S
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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.