Using AI to predict and discover biomarkers for Alzheimer's disease
Convolutional Neural Network for Disease Prediction, Biomarker Discovery, and Validation in Alzheimer's Disease
This study is exploring how advanced computer technology can help predict Alzheimer's disease by turning genetic information into images, which could lead to better early diagnosis and treatment for people at risk.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Nevada Las Vegas NIH-funded |
| Lab location | 1 site (Las Vegas, United States) |
| Project ID | NIH-10875812 on NIH RePORTER |
What this research studies
This research focuses on developing advanced artificial intelligence techniques, specifically convolutional neural networks (CNNs), to predict Alzheimer's disease and identify potential biomarkers. By transforming genetic data into images, the study aims to leverage machine learning to improve early diagnosis and intervention strategies for individuals at risk of Alzheimer's. The approach combines genetic information with innovative AI methods to enhance understanding of the disease's complexities.
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 without any genetic predisposition to the condition may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and better management of Alzheimer's disease, potentially improving patient outcomes.
How similar studies have performed: Other research has shown promise in using AI and machine learning for disease prediction, indicating that this approach could yield significant insights.
Where this research is happening
Las Vegas, United States
- University of Nevada Las Vegas — Las Vegas, United States (Active)
Researchers
- Principal investigator: Chen, Jingchun — University of Nevada Las Vegas
- Study coordinator: Chen, Jingchun
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.