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Neuro Symbolic Intelligence for Donor Matching and Outcome Forecasting in Bone Marrow Transplantation

2026-06-14

Abstract excerpt

<title>Abstract</title> <p>Improving survival rates and minimizing complications like graft-versus-host disease (GVHD) is the main goal of donor-outcome prediction in hematopoietic stem cell transplantation (HSCT). To predict outcomes following a transplant, state-of-the-art models combine information from clinical, genetic, and immunological sources. There has been a recent uptick in the use of ML and DL methods...

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Literature Corpus work
60d20ab2-18ed-5cd0-aecb-a9b98077c751
DOI
10.21203/rs.3.rs-9732280/v1
Open publication

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Neuro Symbolic Intelligence for Donor Matching and Outcome Forecasting in Bone Marrow TransplantationDOI 10.21203/rs.3.rs-9732280/v1
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