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Nov 2021
19m 25s

Machine learning in classification of AM...

AMERICAN SOCIETY OF HEMATOLOGY
About this episode
In this week’s episode, we’ll learn more about the application of machine learning in molecular subclassification and prognostication of acute myeloid leukemia or AML, discuss the role of aging bone marrow in leukemia progression, and learn more about the challenges in treating bleeding disorders of unknown cause. 
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Jul 3
A novel mouse model of sickle cell SC disease; multiple myeloma induction therapy with isatuximab, carfilzomib, lenalidomide, and dexamethasone; and splicing factor mutations in myelodysplastic syndromes
In this week's episode we’ll learn more about a novel mouse model that recapitulates many of the properties of human sickle cell SC disease; results from the induction phase of the risk-adapted MIDAS trial of isatuximab, carfilzomib, lenalidomide, and dexamethasone in newly diagn ... Show More
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Jun 26
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 si ... Show More
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Jun 23
Social determinants of health and access to allogeneic hematopoietic cell transplantation, megakaryocyte growth factor receptor-based pretransplant conditioning for ex vivo autologous gene therapy, and novel protein biomarkers for risk stratification in a
In this week's episode, we’ll learn more about social determinants of health that impact access to allogeneic hematopoietic cell transplantation in patients with acute myeloid leukemia, or AML; use of megakaryocyte growth factor receptor-based stem cell depletion as part of pretr ... Show More
19m 38s
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