Understanding the changes in Alzheimer's disease biomarkers
Statistical Models of Alzheimer's Disease Pathological Cascade
This study is looking at how certain biological signs related to Alzheimer's disease connect with the symptoms people experience, using data from various sources to help us better understand the disease.
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-10636802 on NIH RePORTER |
What this research studies
This research investigates the complex changes in biomarkers associated with Alzheimer's disease (AD) and how these changes relate to clinical symptoms. By developing advanced statistical models, the research aims to validate existing hypothetical models of AD pathology that have not yet been confirmed. The study will analyze data from multiple Alzheimer's databases to provide insights into the relationship between biological markers and clinical manifestations of the disease. This approach seeks to enhance our understanding of the Alzheimer's disease process, which is often difficult to observe directly.
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 disease 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 statistical models to understand Alzheimer's disease, but this approach aims to validate and refine existing hypotheses.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Wang, Zheyu — Johns Hopkins University
- Study coordinator: Wang, Zheyu
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.