Artificial intelligence-based model for dose prediction of sertraline in adolescents: a real-world study.

Journal: Expert review of clinical pharmacology
PMID: 38197873

Abstract

BACKGROUND: Variability exists in sertraline pharmacokinetic parameters in individuals, especially obvious in adolescents. We aimed to establish an individualized dosing model of sertraline for adolescents with depression based on artificial intelligence (AI) techniques.

Authors

  • Ran Fu
    Department of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, China.
  • Ze Yu
    Beijing Medicinovo Technology Co. Ltd., Beijing, China.
  • Chunhua Zhou
    Departement of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha 410013, China.
  • Jinyuan Zhang
    Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Fei Gao
    College of Biological Sciences, China Agricultural University, Beijing 100193, China.
  • Donghan Wang
    Robotics Institute, Auton Lab, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Xin Hao
    Dalian Medicinovo Technology Co., Ltd, Dalian, China.
  • Xiaolu Pang
    Department of Physical Diagnostics, Hebei Medical University, Shijiazhuang, China.
  • Jing Yu
    Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals