{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Blood Podcast","title":"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","html":"","width":"100%","height":180,"duration":1104,"description":"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, from diagnosis through maintenance therapy. We explore these provocative and counterintuitive findings arising from profiling of blood and marrow samples.Featured Articles:Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosisA controlled trial for preventing priapism in sickle cell anemia: hydroxyurea plus placebo vs hydroxyurea plus tadalafilHallmarks of T-cell exhaustion and antigen experience are absent in multiple myeloma from diagnosis to maintenance therapy","thumbnail_url":"https://img.transistorcdn.com/v7MGyoJEM-ebFBYi5VpSwDRF3QY3zbinfCyyOAH1TGk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kY2Q4/YzJhZmMwODBjOWRi/YTNhN2Y1NWJkMzMw/NTBjZi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}