Modeling and predicting Alzheimer's disease progression
Integrative modeling and dynamic prediction of Alzheimer's disease
This study is working on a new way to understand and predict how Alzheimer's disease might progress in people by looking at different types of information, like medical history and brain scans, to help doctors make better treatment plans for those at risk.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10862763 on NIH RePORTER |
What this research studies
This research focuses on developing a new framework to better understand and predict the progression of Alzheimer's disease (AD) by integrating various types of data, including clinical, neuroimaging, and genetic information. By using advanced statistical models, the research aims to provide personalized predictions about how the disease may progress in individual patients. This approach will help identify risk factors and tailor management strategies for those at high risk of developing AD. The ultimate goal is to improve patient outcomes through more informed treatment decisions.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with Alzheimer's disease or those at high risk for developing the condition.
Not a fit: Patients with other forms of dementia unrelated to Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of Alzheimer's disease progression, allowing for personalized treatment plans that improve patient quality of life.
How similar studies have performed: Previous research has shown promise in using integrative modeling approaches for other neurodegenerative diseases, suggesting potential success for this novel methodology in Alzheimer's disease.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Luo, Sheng — Duke University
- Study coordinator: Luo, Sheng
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.