NIH R01 · 2024
Pharmacogenetic Refinement of the Warfarin Dose Using Machine Learning
Warfarin is an anticoagulant that prevents venous and arterial clots but doubles the risk of major hemorrhage. Over the past decade, warfarin use has caused more medication-related emergency department visits among older Americans than any other drug. Our long-term goal is to improve the safety and effectiveness of antithrombotic therapy. To advance this goal, we have developed clinical and pharmacogenetic (PGx) dosing algorithms to guide days 1–5 of warfarin dosing and placed them on a non-profit web application (WarfarinDosing.org) that has been accessed more than 1.8 million times. This success provides the rationale for the proposed study: that algorithm-based dosing of warfarin reduces…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.