Understanding how aging affects Alzheimer's disease using advanced computer models
Team science approach to integrate machine-learning models and functional genomics to study aging in the context of Alzheimer's disease
This project aims to understand how aging contributes to Alzheimer's disease by looking at genetic information and brain cell changes.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11187011 on NIH RePORTER |
What this research studies
We want to understand why some people get Alzheimer's disease as they age and others don't. Our team will use powerful computer models to combine vast amounts of genetic and cellular data from many sources. We will also create new data by looking at brain cells from different age groups to see how they change with Alzheimer's. This work will help us identify key genetic factors and cell processes that lead to the disease.
Who could benefit from this research
Good fit: This foundational research is not directly recruiting patients but aims to benefit individuals at risk for or living with Alzheimer's disease in the future.
Not a fit: Patients seeking immediate treatment options or direct clinical intervention would not find direct benefit from this early-stage laboratory research.
Why it matters
Potential benefit: If successful, this work could uncover new ways to prevent or treat Alzheimer's disease by targeting the aging processes that contribute to it.
How similar studies have performed: While individual components like machine learning or functional genomics have shown promise, this integrated approach to disentangle aging and Alzheimer's disease mechanisms is novel.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Brennand, Kristen Jennifer — Yale University
- Study coordinator: Brennand, Kristen Jennifer
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.