Using brain imaging and cognitive tests to predict other brain diseases in Alzheimer's patients
Autopsy-informed integrated clinical and imaging models for prediction of non-AD co-pathologies in AD
['FUNDING_R01'] · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · NIH-11053173
This study is looking to create smart computer models that help doctors spot other brain issues in people with Alzheimer's disease, so they can better understand and treat those patients.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NORTHERN CALIFORNIA INSTITUTE/RES/EDU (nih funded) |
| Locations | 1 site (SAN FRANCISCO, UNITED STATES) |
| Trial ID | NIH-11053173 on ClinicalTrials.gov |
What this research studies
This research aims to develop advanced computational models that utilize neuroimaging and cognitive assessments to identify non-Alzheimer's disease neuropathological changes in individuals diagnosed with Alzheimer's disease. By analyzing data from autopsy-confirmed cases, the study seeks to improve the detection of co-existing brain conditions that can complicate Alzheimer's disease. The approach involves machine learning techniques to enhance the accuracy of predictions based on available clinical data. This could lead to better understanding and treatment of Alzheimer's patients who may also have other neurodegenerative diseases.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Alzheimer's disease who may also exhibit symptoms of other neurodegenerative conditions.
Not a fit: Patients who do not have a diagnosis of Alzheimer's disease or those with other unrelated neurological conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools that allow for more effective treatment strategies for Alzheimer's patients with additional brain pathologies.
How similar studies have performed: Previous research has shown promise in using neuroimaging and machine learning to identify co-pathologies in neurodegenerative diseases, indicating that this approach has potential for success.
Where this research is happening
SAN FRANCISCO, UNITED STATES
- NORTHERN CALIFORNIA INSTITUTE/RES/EDU — SAN FRANCISCO, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: TOSUN-TURGUT, DUYGU — NORTHERN CALIFORNIA INSTITUTE/RES/EDU
- Study coordinator: TOSUN-TURGUT, DUYGU
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.
Conditions: Alzheimer disease dementia, Alzheimer disease detection, Alzheimer syndrome, Alzheimer's Disease, Alzheimer's disease patient