Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

Journal: European journal of clinical pharmacology
Published Date: Jul 5, 2025

Abstract

PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine learning methods, including neural networks, to predict steady-state trough concentrations in pediatric patients and provide improved dosing recommendations.

Authors

  • Jingcheng Chen
    Jiaxing Nanhu District People's Hospital, Jiaxing, Zhejiang Province, 314000, People's Republic of China.
  • Jiacheng Wang
    Vanderbilt University, Nashville TN 37215, USA.
  • Kai Li
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Yujie Wu
    Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, PR China.
  • Ziqian Wang
  • Jin Guo
    Graduate School of Engineering, Kagawa University, Takamatsu, Kagawa, Japan. s12d503@stmail.eng.kagawa-u.ac.jp.
  • Zhigang Zhao
    Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Weixing Feng
    Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
  • Shenghui Mei
    Department of Pharmacy, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Beijing, 100070, People's Republic of China. meishenghui1983@126.com.

Keywords

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