An AI model for transplant risk in myelofibrosis; preventing priapism in men with sickle cell anemia; hallmarks of T cell exhaustion absent in newly diagnosed MM
In this week's episode, we'll learn about using AI to assess transplant risk in myelofibrosis. In a step toward personalized medicine, researchers report on a machine learning model that identifies 25% of patients with poor outcomes. After that: preventing priapism in men with sickle cell anemia. A recent phase 2 feasibility study shows high rates of recruitment, retention, and adherence to oral therapies, coupled with a significant reduction in the risk of this difficult complication. Finally, new research indicates that hallmarks of terminal T-cell exhaustion are absent in multiple myeloma…
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