Developing methods to predict Alzheimer's disease progression using biomarkers
Official title: Time-Dynamic Tree-Based Methods for Personalized Alzheimer's Disease Prediction
Funded at Johns Hopkins University · NIH-10890391 · Data updated 2026-11-12
This study is looking to find better ways to spot people at risk of developing Alzheimer's Disease by using new methods to analyze their health data, which could help doctors make earlier and more personalized treatment decisions.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | July 1, 2024 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $327,500 |
| NIH project number | 1R03AG083470-01A1 |
| Project ID | NIH-10890391 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for Alzheimer's disease, particularly those with early signs of cognitive decline or relevant biomarker profiles.
✕Less likely to help
Patients with advanced Alzheimer's disease or those without any risk factors for cognitive decline may not benefit from this research.
What this research studies
This research aims to enhance the understanding of biomarkers related to preclinical Alzheimer's Disease (AD) by utilizing innovative tree-based methods. It focuses on creating algorithms that can identify high-risk individuals for cognitive decline based on their biomarker profiles and other risk factors. By analyzing longitudinal data, the project seeks to provide personalized predictions of disease progression, potentially allowing for earlier interventions. The goal is to improve clinical decision-making and patient outcomes in Alzheimer's care.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate predictions of Alzheimer's disease progression, enabling timely interventions.
How similar studies have gone: Previous research has shown promise in using similar biomarker-based approaches for predicting Alzheimer's disease, indicating potential for success in this novel methodology.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Zhu, Yuxin — Johns Hopkins University
- Study coordinator: Zhu, Yuxin
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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.