Using artificial intelligence to improve understanding and treatment of Alzheimer's disease
Artificial Intelligence Strategies for Alzheimer's Disease Research
This study is using smart computer technology to look at a lot of information about Alzheimer's disease to find new clues about what causes it, making it easier for researchers to understand and help those affected.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cedars-Sinai Medical Center NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10902053 on NIH RePORTER |
What this research studies
This research focuses on leveraging artificial intelligence (AI) and machine learning to analyze large-scale data related to Alzheimer's disease (AD). By developing advanced algorithms, the project aims to uncover hidden patterns in clinical and biological data that traditional methods may overlook. The PennAI method will automate the selection of machine learning techniques, making it easier for researchers to analyze complex data. This innovative approach could lead to better insights into the genetic and biological factors contributing to AD.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with Alzheimer's disease or those at risk of developing it.
Not a fit: Patients with other forms of dementia unrelated to Alzheimer's may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and treatment strategies for Alzheimer's disease.
How similar studies have performed: Previous research has shown promise in using AI for analyzing complex health data, indicating a strong potential for success in this novel approach.
Where this research is happening
Los Angeles, United States
- Cedars-Sinai Medical Center — Los Angeles, United States (Active)
Researchers
- Principal investigator: Moore, Jason H. — Cedars-Sinai Medical Center
- Study coordinator: Moore, Jason H.
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.