Using machine learning to understand Alzheimer's disease risk and differences among patients
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approaches
This study is looking to use smart computer technology to learn more about Alzheimer's disease by examining various types of information, including genetics and health details, to help us understand the disease better and find new ways to treat it, especially for people who are currently healthy.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Massachusetts Med Sch Worcester NIH-funded |
| Lab location | 1 site (Worcester, United States) |
| Project ID | NIH-10898931 on NIH RePORTER |
What this research studies
This research aims to develop advanced machine learning models to better understand Alzheimer's disease (AD) by analyzing a wide range of data, including genetic and phenotypic information. The project will explore the different types of AD and assess risk factors in cognitively healthy individuals over time. By leveraging large-scale data from collaborative initiatives, the research seeks to identify patterns and interactions that could lead to improved understanding and potential future treatments for AD.
Who could benefit from this research
Good fit: Ideal candidates for this research include cognitively healthy older adults and individuals with varying stages of Alzheimer's disease.
Not a fit: Patients with advanced Alzheimer's disease who are already experiencing significant 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 and tailored interventions.
How similar studies have performed: Previous research using machine learning approaches in Alzheimer's disease has shown promise, indicating that this methodology could yield valuable insights.
Where this research is happening
Worcester, United States
- Univ of Massachusetts Med Sch Worcester — Worcester, United States (Active)
Researchers
- Principal investigator: Lin, Honghuang — Univ of Massachusetts Med Sch Worcester
- Study coordinator: Lin, Honghuang
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.