Improving deep learning models for better predictions in health.
Official title: Correcting biases in deep learning models
Funded at Ut Southwestern Medical Center · NIH-11002648 · Data updated 2026-11-12
This study is working on improving computer models that help doctors make better predictions about diseases like Alzheimer's by reducing biases in the data, so patients can receive more accurate diagnoses and treatments.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ut Southwestern Medical Center NIH-funded |
| Lab location | 1 site (Dallas, United States) |
| Project start | January 20, 2023 |
| Project end | December 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $309,960 |
| NIH project number | 5R01GM144486-03 |
| Project ID | NIH-11002648 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 that generate complex data.
✕Less likely to help
Patients who do not have Alzheimer's disease or related conditions may not benefit directly from this research.
What this research studies
This research focuses on enhancing deep learning models used in healthcare by addressing biases that arise from correlated data. It aims to develop a new framework that separates fixed effects from random effects in the data, which can lead to more accurate predictions related to diseases like Alzheimer's. By refining these models, the research seeks to improve their interpretability and performance, ultimately benefiting patient diagnosis and treatment. The approach is designed to handle the complexities of real-world data, making it more reliable for clinical applications.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and reliable predictions for diagnosing and treating diseases, particularly Alzheimer's.
How similar studies have gone: Other research has shown promise in improving predictive models in healthcare using similar approaches, indicating potential for success in this novel application.
Where this research is happening
-
Ut Southwestern Medical Center
Dallas, United States Active
Researchers
- Principal investigator: Montillo, Albert Amos — Ut Southwestern Medical Center
- Study coordinator: Montillo, Albert Amos
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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.