Using advanced machine learning to analyze Alzheimer's disease data
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
This study is using advanced technology to look at a lot of genetic and health information about Alzheimer's disease to find new clues that could help us detect and prevent it better, and it's for anyone interested in understanding more about this condition.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Southern California NIH-funded |
| Lab location | 1 site (Los Angeles, UNITED STATES) |
| Project ID | NIH-10909946 on NIH RePORTER |
What this research studies
This research focuses on leveraging cutting-edge machine learning and artificial intelligence techniques to analyze large-scale genomic and phenotypic data related to Alzheimer's disease. By collaborating with various national and international biobanks, the project aims to develop innovative algorithms that can handle the vast amounts of data generated by Alzheimer's research initiatives. The goal is to identify new genetic risk factors and biomarkers for Alzheimer's disease, which could lead to improved detection and prevention strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with a family history of Alzheimer's disease or those showing early signs of cognitive decline.
Not a fit: Patients with advanced Alzheimer's disease or those not genetically predisposed to the condition may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding Alzheimer's disease, enabling earlier detection and more effective prevention strategies for patients.
How similar studies have performed: Previous research utilizing machine learning approaches in genomics has shown promising results, indicating that this method could be effective in Alzheimer's disease research as well.
Where this research is happening
Los Angeles, UNITED STATES
- University of Southern California — Los Angeles, United States (Active)
Researchers
- Principal investigator: Thompson, Paul M — University of Southern California
- Study coordinator: Thompson, Paul M
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.