Maximizing utility of nondirected living liver donor grafts using machine learning

Maximizing utility of nondirected living liver donor grafts using machine learning

ObjectiveThere is an unmet need for optimizing hepatic allograft allocation from nondirected living liver donors (ND-LLD).Materials and methodUsing OPTN living donor liver transplant (LDLT) data (1/1/2000-12/31/2019), we identified 6328 LDLTs (4621 right, 644 left, 1063 left-lateral grafts). Random...

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Bibliographic Details
Main Authors: Kiran Bambha, Nicole J. Kim, Mark Sturdevant, James D. Perkins, Catherine Kling, Ramasamy Bakthavatsalam, Patrick Healey, Andre Dick, Jorge D. Reyes, Scott W. Biggins
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Immunology
Subjects:
anonymous
altruistic
living donation
allocation
liver transplant
allograft
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1194338/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1194338/full

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