Creating predictive models for Alzheimer's disease and related dementias in older adults
Official title: Predictive modeling of Alzheimer's Disease Related Dementias (ADRD) in the elderly population empowered by knowledge-driven data mining
Funded at University of Texas Hlth Sci Ctr Houston · NIH-10939985 · Data updated 2026-11-12
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 start | September 6, 2023 |
| Project end | June 30, 2027 |
| Funding year | 2024 |
| Award (this year) | $305,916 |
| NIH project number | 3R01HG012748-02S2 |
| Project ID | NIH-10939985 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are elderly individuals aged 65 and older who may be at risk for Alzheimer's disease or related dementias.
✕Less likely to help
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.
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.
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 gone: 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
-
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
Related research
Other NIH-funded projects on the same topics.
-
Understanding how brain activity changes may drive Alzheimer’s disease progression in a mouse model
Researchers are testing how changes in brain signals and protein cleanup processes affect the development of Alzheimer’s disease in mice.
-
Thiamine-boosting therapy for Alzheimer’s: understanding how benfotiamine may reduce harmful AGE in DP patients
A medication-based approach using high-dose vitamin B1 (benfotiamine) is studied to help people with Alzheimer's by reducing harmful sugar-related molecules.
-
Non-invasive tears biomarker for early Alzheimer's in LMICs
A low-cost, tear-based biomarker approach aims to detect early Alzheimer’s disease in older adults in Peru and similar settings.
-
Turning APOE4 into protective APOE2 or APOE3Christchurch to help with Alzheimer’s
A patient-facing explanation of a treatment idea that aims to change a genetic risk factor for Alzheimer's disease in the brain.
-
Telomerase in Alzheimer’s Disease: how aging biology could influence memory and brain health
Researchers are exploring a new brain-aging mechanism linked to telomerase, with potential to slow or modify Alzheimer’s disease in people and improve cognitive function.
-
Biomarkers of Alzheimer’s Disease: Sensory, Motor, and Cognitive Clues
Researchers are testing simple sensory and movement tasks to find early signs of Alzheimer’s disease so they can diagnose and treat people sooner.
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.