AIMC Topic: Unrelated Donors
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Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection.
Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation
Feb 2, 2018
The survival of patients undergoing hematopoietic cell transplantation (HCT) from unrelated donors for acute leukemia exhibits considerable variation, even after stringent genetic matching. To improve the donor selection process, we attempted to crea...
Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.
Blood advances
Dec 10, 2024
We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell transplantation (HCT) recipients using a novel machine learning approach, the Nonparametric Failure Time Bayesian Additive Regression Trees (NFT BART). N...
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