Early Prediction of Tacrolimus-Induced Tubular Toxicity in Pediatric Refractory Nephrotic Syndrome Using Machine Learning

Early Prediction of Tacrolimus-Induced Tubular Toxicity in Pediatric Refractory Nephrotic Syndrome Using Machine Learning

Background and Aims: Tacrolimus(TAC)-induced nephrotoxicity, which has a large individual variation, may lead to treatment failure or even the end-stage renal disease. However, there is still a lack of effective models for the early prediction of TAC-induced nephrotoxicity, especially in nephrotic s...

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Bibliographic Details
Main Authors: Xiaolan Mo, Xiujuan Chen, Chifong Ieong, Xia Gao, Yingjie Li, Xin Liao, Huabin Yang, Huiyi Li, Fan He, Yanling He, Yilu Chen, Huiying Liang, Min Huang, Jiali Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Pharmacology
Subjects:
tacrolimus
refractory nephrotic syndrome
machine learning
nephrotoxicity prediction models
gene polymorphisms
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2021.638724/full

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https://www.frontiersin.org/articles/10.3389/fphar.2021.638724/full

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