Predicting Hydroxyurea Resistance in Polycythemia Vera with Machine Learning

Host: Hallie Blevins, PhD. <br> <p>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. </p>