Improving methods to analyze Alzheimer's disease risk and biomarkers
Statistical methods for analyzing risk of Alzheimer's Disease and biomarker measurements
This study is looking at new ways to understand who might be at risk for Alzheimer's disease or mild cognitive impairment, so that people can get more personalized care and support based on their individual risk.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project ID | NIH-11131698 on NIH RePORTER |
What this research studies
This research focuses on developing advanced statistical methods to enhance the understanding of Alzheimer's disease (AD) risk and biomarker measurements. By analyzing data from large-scale studies, the team aims to identify individuals at high risk for developing Alzheimer's or mild cognitive impairment (MCI). The methods will allow for better modeling and prediction of disease incidence, which can lead to targeted monitoring and treatment for those at risk. Patients may benefit from more personalized care based on their risk profiles.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who are at risk for Alzheimer's disease, particularly those with a family history or other risk factors.
Not a fit: Patients who are already diagnosed with advanced Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved identification and management of individuals at risk for Alzheimer's disease.
How similar studies have performed: Previous research has shown success in using statistical methods to analyze Alzheimer's disease risk, indicating that this approach has potential for meaningful advancements.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Wang, Mei Cheng — Johns Hopkins University
- Study coordinator: Wang, Mei Cheng
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.