Multiple Myeloma Drivers Of High Risk And Response To Stem Cell Transplantation Identified By Causal Machine Learning: Out-Of-Cohort And Experimental Validation

Introduction: Multiple Myeloma (MM) is a plasma cell malignancy characterized by high polyclonality, heterogeneity of treatment response, and long-term adaptation to treatment. The apparent complexity of underlying biological networks of MM necessitates a systems approach to its study. Advances in instrumentation, machine learning, and computing make the systems approach possible and enable novel insights into MM disease drivers, patient subpopulations, and potential therapies.