Using machine learning to predict cognitive decline and Alzheimer's disease
Predictive analytics for cognitive decline and Alzheimer's disease
This study is working on a smart computer program that can help predict if older adults might experience memory problems or develop Alzheimer's disease, using different types of information about their health and brain, so that doctors can better identify those at risk and improve treatments.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California-Irvine NIH-funded |
| Lab location | 1 site (Irvine, United States) |
| Project ID | NIH-10831009 on NIH RePORTER |
What this research studies
This research focuses on developing a machine learning framework to predict cognitive decline and the onset of Alzheimer's disease in older adults. By analyzing various data types, including demographics, genetic information, neuropsychological assessments, and brain imaging, the project aims to create effective predictive tools. These tools could help identify individuals at risk for cognitive impairment and enhance clinical trial designs by selecting participants likely to show disease progression. Ultimately, the goal is to improve decision-making in both clinical practice and research related to Alzheimer's disease.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults who may be experiencing early signs of cognitive decline or have a family history of Alzheimer's disease.
Not a fit: Patients with advanced Alzheimer's disease or those who do not exhibit any cognitive decline may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better identification of individuals at risk for Alzheimer's disease, allowing for earlier interventions and improved patient outcomes.
How similar studies have performed: Other research has shown promise in using machine learning approaches for predicting cognitive decline, indicating that this methodology has potential for success.
Where this research is happening
Irvine, United States
- University of California-Irvine — Irvine, United States (Active)
Researchers
- Principal investigator: Ezzati, Ali — University of California-Irvine
- Study coordinator: Ezzati, Ali
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.