Prediction of immunotherapy response in idiopathic membranous nephropathy using deep learning-pathological and clinical factors.

Journal: Frontiers in endocrinology
PMID: 38524629

Abstract

BACKGROUND: Owing to individual heterogeneity, patients with idiopathic membranous nephropathy (IMN) exhibit varying sensitivities to immunotherapy. This study aimed to establish and validate a model incorporating pathological and clinical features using deep learning training to evaluate the response of patients with IMN to immunosuppressive therapy.

Authors

  • Xuejiao Wei
    Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
  • Mengtuan Long
    Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
  • Zhongyu Fan
    Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
  • Yue Hou
    College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China.
  • Xiaoyu Zhu
    Key Laboratory of Environmental and Applied Microbiology, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China; Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu 610041, China. Electronic address: zhuxy@cib.ac.cn.
  • Zhihui Qu
    Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
  • Yujun Du
    Department of Nephrology, The First Hospital of Jilin University, Changchun, China.

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