Predicting Hydroxyurea Resistance in Polycythemia Vera with Machine Learning
Update: 2025-09-17
Description
Host: Hallie Blevins, PhD.
Early resistance to hydroxyurea in patients with polycythemia vera (PV) is associated with higher risks of thromboembolic complications, disease progression, and mortality. The PV-AIM study applied machine learning to real-world data and identified simple lab-based predictors that stratify patients by risk, and these findings were later validated in the HU-F-AIM trial. Hear from ReachMD's Dr. Hallie Blevins as she dives into the results and explains implications for optimized therapy and improved long-term outcomes.
Early resistance to hydroxyurea in patients with polycythemia vera (PV) is associated with higher risks of thromboembolic complications, disease progression, and mortality. The PV-AIM study applied machine learning to real-world data and identified simple lab-based predictors that stratify patients by risk, and these findings were later validated in the HU-F-AIM trial. Hear from ReachMD's Dr. Hallie Blevins as she dives into the results and explains implications for optimized therapy and improved long-term outcomes.
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