Improving Early Dementia Detection for Diverse Older Adults
SCH: Dementia Early Detection for Under-represented Populations via Fair Multimodal Self-Supervised Learning
['FUNDING_R01'] · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · NIH-11103318
This project aims to create better, fairer tools to help doctors find early signs of Alzheimer's disease and related dementias in older adults from all backgrounds.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NEW YORK UNIVERSITY SCHOOL OF MEDICINE (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-11103318 on ClinicalTrials.gov |
What this research studies
Many older adults, especially those from under-represented groups, are diagnosed with dementia too late, missing chances for early care or clinical trials. Current detection tools often don't work as well for diverse populations because they were developed using data mostly from white, educated individuals. Our team is developing new computer-based methods that can use information from MRI scans and electronic health records to build accurate and unbiased tools. These new tools are designed to work well for everyone, ensuring fair and early detection of dementia for all older adults.
Who could benefit from this research
Good fit: This research is relevant to older adults, particularly those aged 65 and above, and especially individuals from Black and Hispanic communities who are at higher risk for Alzheimer's disease and related dementias.
Not a fit: Patients who have already received a dementia diagnosis or those not within the target age range or demographic may not directly benefit from this specific early detection tool.
Why it matters
Potential benefit: If successful, this work could lead to earlier and more accurate dementia diagnoses for a wider range of patients, allowing them to access support and potential treatments sooner.
How similar studies have performed: While existing tools for dementia detection exist, this project is novel in its focus on developing robust, unbiased, and fair models specifically for diverse and under-represented populations.
Where this research is happening
NEW YORK, UNITED STATES
- NEW YORK UNIVERSITY SCHOOL OF MEDICINE — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: RAZAVIAN, NARGES — NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- Study coordinator: RAZAVIAN, NARGES
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 below.