Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection

• Optimal unrelated donor selection has the potential to improve HCT success• We developed a multi-variable machine learning algorithm to improve donor selection• Despite promising preliminary results, the algorithm failed in pivotal study• Translating machine learning risk predictors to cli nical use is a major challenge

Source: Biology of Blood and Marrow Transplantation - February 3, 2018 Category: Hematology Authors: Ljubomir Buturovic, Jason Shelton, Stephen R. Spellman, Tao Wang, Lyssa Friedman, David Loftus, Lyndal Hesterberg, Todd Woodring, Katharina Fleischhauer, Katharine C. Hsu, Michael R. Verneris, Mike Haagenson, Stephanie J. Lee Source Type: research