Prediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach-Reference-Cited by-同舟云学术

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Prediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach

Published:2022-02 Issue: Volume:Volume 15 Page:143-155
ISSN:1178-7066
Container-title:Pharmacogenomics and Personalized Medicine
language:en
Short-container-title:PGPM

Author:

Mo Xiaolan,Chen Xiujuan,Wang Xianggui,Zhong Xiaoli,Liang Huiying,Wei Yuanyi,Deng Houliang,Hu Rong,Zhang Tao,Chen Yilu,Gao Xia,Huang Min,Li Jiali

Publisher

Informa UK Limited

Subject

Pharmacology,Molecular Medicine

Reference37 articles.

1. Clinical Pharmacokinetics of Tacrolimus

2. Pharmacogenomics: Translating Functional Genomics into Rational Therapeutics

3. Interactive effects of CYP3A4, CYP3A5, MDR1 and NR1I2 polymorphisms on tracrolimus trough concentrations in early postrenal transplant recipients

4. Impact of CYP3A5, POR, and CYP2C19 Polymorphisms on Trough Concentration to Dose Ratio of Tacrolimus in Allogeneic Hematopoietic Stem Cell Transplantation

5. Associations of HSD11B1 Polymorphisms with Tacrolimus Concentrations in Chinese Renal Transplant Recipients with Prednisone Combined Therapy

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Designing a Pharmacokinetic Machine Learning Model for Optimizing Beta-Lactam Antimicrobial Dosing in Critically Ill Patients;Proceedings of the 2024 8th International Conference on Medical and Health Informatics;2024-05-17

2. Machine Learning: A New Approach for Dose Individualization;Clinical Pharmacology & Therapeutics;2023-09-29

3. Tacrolimus Compared with Other Immunosuppressants in Children with Refractory Nephrotic Syndrome;Advances in Clinical Medicine;2023

4. Tacrolimus pharmacokinetics in pediatric nephrotic syndrome: A combination of population pharmacokinetic modelling and machine learning approaches to improve individual prediction;Frontiers in Pharmacology;2022-11-15

5. Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients;BMC Medical Informatics and Decision Making;2022-08-25

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