Estimation of Mycophenolic Acid Exposure in Chinese Renal Transplant Patients by a Joint Deep Learning Model.

Journal: Therapeutic drug monitoring
PMID:

Abstract

BACKGROUND: To predict mycophenolic acid (MPA) exposure in renal transplant recipients using a deep learning model based on a convolutional neural network with bilateral long short-term memory and attention methods.

Authors

  • Kun Shao
    State Key Laboratory of Fine Chemicals , Dalian University of Technology , 2 Linggong Road , Dalian 116024 , P. R. China . Email: fanjl@dlut.edu.cn.
  • Yichen Jia
    Departments of Biostatistics.
  • Jiaqian Lu
    Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; and.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Bing Chen
    Department of Critical Care Medicine, The Second Hospital of Tianjin Medical University, Tianjin, China.
  • Dehua Chen
    Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, Jiangsu, China.
  • Huimin An
    Department of Urology and Transplant Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
  • Ruiming Rong
    Department of Urology and Transplant Surgery, Zhongshan Hospital, Shanghai Fudan University, Shanghai, China.
  • Tongyu Zhu
    Department of Urology and Transplant Surgery, Zhongshan Hospital, Shanghai Fudan University, Shanghai, China.
  • Peijun Zhou
    Department of Urology and Transplant Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.