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ASH 2018 | A personalized prediction model to risk stratify patients with MDS

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Aziz Nazha

Myelodysplastic syndrome (MDS) patients have very heterogeneous outcomes in terms of overall survival. Here, Aziz Nazha, MD, of the Cleveland Clinic, Cleveland, OH, discusses a personalized prediction model that uses clinical-, molecular-, and transplant-related data predict the probability of survival for individual MDS patients, aiding HCPs and patients in their decision-making prior to transplant. This interview was recorded at the American Society of Hematology (ASH) 2018 Annual Meeting and Exposition in San Diego, CA.

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