Identifying who is resistant or resilient to Alzheimer's disease
Building predictive algorithms to identify resilience and resistance to Alzheimer's disease
This study is looking to find out why some older adults stay mentally sharp even when they have signs of Alzheimer's disease, and it aims to create tools that can help doctors predict who might be more resilient, using simple health information.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11049081 on NIH RePORTER |
What this research studies
This research aims to develop predictive algorithms that can identify individuals who either resist the accumulation of Alzheimer's disease pathology or remain cognitively healthy despite having such pathology. By analyzing data from a large and diverse group of older adults, the study will explore how various factors, including demographics and health history, influence resilience and resistance to Alzheimer's. The goal is to create models that can accurately predict these outcomes based on easily accessible medical information. This could significantly improve clinical decision-making and enhance the recruitment process for clinical trials.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults aged 65 and above, particularly those with varying levels of Alzheimer's disease pathology.
Not a fit: Patients who are younger than 65 or those with advanced Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better identification of individuals at risk for Alzheimer's disease, allowing for earlier interventions and personalized treatment strategies.
How similar studies have performed: Previous research has shown promise in identifying resilience and resistance to Alzheimer's using predictive modeling, but this study aims to enhance these approaches with a larger and more diverse dataset.
Where this research is happening
Boston, United States
- Massachusetts General Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Buckley, Rachel Frances — Massachusetts General Hospital
- Study coordinator: Buckley, Rachel Frances
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.