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MPN Congress 2022 | A new machine learning prediction model for thrombosis risk in polycythemia vera
Ghaith Abu-Zeinah, MD, Weill Cornell Medicine and the New York Presbyterian Hospital, New York City, NY, discusses a novel machine learning prediction model for thrombosis risk in polycythemia vera (PV), highlighting the limitations of current risk stratification models. Dr Abu-Zeinah explains that this model utilizes a vast amount of real-world data and comments on how they expect to validate the model in the future to be used more widely in a clinical setting for PV. This interview took place at the 14th International Congress on Myeloproliferative Neoplasms (MPN Congress) held in New York City, NY.
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