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Optimizing post-transplantation outcomes: the role of multi-omics, artificial intelligence, and animal models in addressing immunosuppression-associated hepatotoxicity.

作者信息

Liu Yongguang, Feng Runtao, Chen Jianrong, Yan Hongyan, Liu Xiaoyou

机构信息

Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University.

Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.

出版信息

Int J Surg. 2024 Aug 1;110(8):5207-5209. doi: 10.1097/JS9.0000000000001521.

Abstract
摘要

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本文引用的文献

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Tacrolimus-induced cholestatic hepatotoxicity after renal transplantation: a case report.
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Beyond Human Limits: Harnessing Artificial Intelligence to Optimize Immunosuppression in Kidney Transplantation.
J Clin Med Res. 2023 Sep;15(8-9):391-398. doi: 10.14740/jocmr5012. Epub 2023 Sep 30.
4
Artificial intelligence, machine learning, and deep learning in liver transplantation.
J Hepatol. 2023 Jun;78(6):1216-1233. doi: 10.1016/j.jhep.2023.01.006.
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The molecular phenotypes of injury, steatohepatitis, and fibrosis in liver transplant biopsies in the INTERLIVER study.
Am J Transplant. 2022 Mar;22(3):909-926. doi: 10.1111/ajt.16890. Epub 2021 Dec 3.
9
Integrative cross-omics analysis in primary mouse hepatocytes unravels mechanisms of cyclosporin A-induced hepatotoxicity.
Toxicology. 2014 Oct 3;324:18-26. doi: 10.1016/j.tox.2014.06.003. Epub 2014 Jul 15.

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