Machine Learning Applications in Solid Organ Transplantation and Related Complications

Machine Learning Applications in Solid Organ Transplantation and Related Complications

The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From networks of immune modulators to dynamic pharmacokinetics to variable postoperative graft survival to equitable allocation of scarce organs, machine learning promises to inform clinical decision making by de...

Full description

Bibliographic Details
Main Authors: Jeremy A. Balch, Daniel Delitto, Patrick J. Tighe, Ali Zarrinpar, Philip A. Efron, Parisa Rashidi, Gilbert R. Upchurch, Azra Bihorac, Tyler J. Loftus
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Immunology
Subjects:
machine learning
transplantation
artificial intelligence
organ allocation
critical care
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.739728/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2021.739728/full

Similar Items