Optimal Donor Selection for Hematopoietic Cell Transplantation Using Bayesian Machine Learning.

We confirmed the singular importance of selecting the youngest available MUD, irrespective of patient features, identified potential for improved HCT outcomes by selecting a younger MUD, and demonstrated use of novel ML models transferable to optimize other complex treatment decisions in a patient-specific way.