Construction of a neural network diagnostic model for renal fibrosis and investigation of immune infiltration characteristics.

Journal: Frontiers in immunology
PMID: 37359552

Abstract

BACKGROUND: Recently, the incidence rate of renal fibrosis has been increasing worldwide, greatly increasing the burden on society. However, the diagnostic and therapeutic tools available for the disease are insufficient, necessitating the screening of potential biomarkers to predict renal fibrosis.

Authors

  • Yangyang Guo
    Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Kenan Cen
    Department of General Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Kai Hong
    Key Laboratory of Engineering Biology for Low-Carbon Manufacturing, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, National Center of Technology Innovation for Synthetic Biology, No. 32, Xiqi Road, Tianjin Airport Economic Park, Tianjin 300308, China.
  • Yifeng Mai
    Department of General Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Minghui Jiang
    Department of Orthopedics, Third Hospital of Changsha, Changsha 410015.

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