Classification and Personalized Prognosis in Myeloproliferative Neoplasms

Using 63 clinical and genomic variables, researchers generated prognostic models to personalize clinical outcome predictions for patients with essential thrombocythemia, polycythemia vera, myelofibrosis, and other MPNs, and study results demonstrated that these models significantly improved prediction accuracy.

New England Journal of Medicine