Improving warfarin dosing using machine learning algorithms
Official title: Pharmacogenetic Refinement of the Warfarin Dose Using Machine Learning
Funded at Washington University · NIH-10862482 · Data updated 2026-11-12
This study is looking to make taking warfarin, a medicine that helps prevent blood clots, safer and more effective by creating smarter dosing tools that use your health and genetic information, so doctors can give you the best dose right from your medical records.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | July 15, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $399,423 |
| NIH project number | 1R01HL173734-01 |
| Project ID | NIH-10862482 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who are starting warfarin therapy for conditions requiring anticoagulation.
✕Less likely to help
Patients who are not candidates for warfarin therapy or those who have contraindications to anticoagulation may not benefit from this research.
What this research studies
This research focuses on enhancing the safety and effectiveness of warfarin, a medication used to prevent blood clots. By developing advanced dosing algorithms that incorporate clinical and genetic information, the study aims to provide more accurate dosing recommendations for patients starting warfarin therapy. The algorithms will be integrated into electronic health records at multiple medical centers, allowing healthcare providers to access real-time decision support. This approach seeks to minimize the risks of overdose and bleeding associated with warfarin use.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective warfarin dosing, reducing the risk of complications for patients.
How similar studies have gone: Previous research has shown success in using algorithm-based approaches for medication dosing, indicating a promising avenue for this study.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Gage, Brian F — Washington University
- Study coordinator: Gage, Brian F
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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.