Developing new methods to combine data from Alzheimer's research
Official title: Innovative Data Integration Models for Handling Evidence Inconsistency in AD/ADRD Research
Funded at University of Arizona · NIH-11114242 · Data updated 2026-11-12
This study is working on finding better ways to combine information from different Alzheimer's research studies, especially when the results don't always match up, so that we can get clearer answers about the best treatment options for people with Alzheimer's.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arizona NIH-funded |
| Lab location | 1 site (Tucson, United States) |
| Project start | May 1, 2025 |
| Project end | April 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $301,417 |
| NIH project number | 1R03AG093555-01 |
| Project ID | NIH-11114242 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Alzheimer's disease or related dementias, as well as those involved in clinical studies of these conditions.
✕Less likely to help
Patients with unrelated neurological conditions or those not diagnosed with Alzheimer's or related dementias may not benefit from this research.
What this research studies
This research focuses on improving how data from various Alzheimer's and related dementia studies are integrated, particularly when there are inconsistencies in the evidence. By creating innovative modeling techniques, the project aims to enhance the reliability of comparative effectiveness research in this field. The researchers will analyze factors such as patient demographics to better understand discrepancies in study results. This approach could lead to more accurate conclusions about treatment options for Alzheimer's patients.
Why it matters
Potential benefit: If successful, this research could lead to more reliable treatment recommendations for patients with Alzheimer's and related dementias.
How similar studies have gone: Other research has shown promise in using advanced analytics for data integration in healthcare, suggesting that this approach could yield valuable insights.
Where this research is happening
-
University of Arizona
Tucson, United States Active
Researchers
- Principal investigator: Lin, Lifeng — University of Arizona
- Study coordinator: Lin, Lifeng
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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.