Creating predictive models for Alzheimer's disease and related dementias in older adults
Predictive modeling of Alzheimer's Disease Related Dementias (ADRD) in the elderly population empowered by knowledge-driven data mining
This study is working on creating helpful tools to better predict the risk of Alzheimer's and related memory issues in older adults, especially those 65 and up, so that doctors can provide better care and support for their patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Hlth Sci Ctr Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10939985 on NIH RePORTER |
What this research studies
This research focuses on developing advanced predictive models to assess the risk of Alzheimer's disease and related dementias (ADRD) in the elderly population, particularly those aged 65 and older. By leveraging knowledge from existing literature and utilizing electronic health records, the study aims to create practical tools that can be used in various clinical settings. The approach involves data mining techniques to extract valuable insights from a vast amount of medical literature, which can help identify risk factors and improve patient care. The goal is to enhance the accuracy of ADRD predictions and ultimately support better management of cognitive decline in older adults.
Who could benefit from this research
Good fit: Ideal candidates for this research are elderly individuals aged 65 and older who may be at risk for Alzheimer's disease or related dementias.
Not a fit: Patients under the age of 65 or those without any risk factors for Alzheimer's disease or related dementias may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk assessments for Alzheimer's disease and related dementias, enabling earlier interventions and improved patient outcomes.
How similar studies have performed: Previous research has shown promise in using predictive modeling for various health conditions, suggesting that this approach could be effective for Alzheimer's disease and related dementias as well.
Where this research is happening
Houston, United States
- University of Texas Hlth Sci Ctr Houston — Houston, United States (Active)
Researchers
- Principal investigator: Liu, Hongfang — University of Texas Hlth Sci Ctr Houston
- Study coordinator: Liu, Hongfang
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.