Developing a Machine-Learning Prediction Model for Infliximab Response in Crohn's Disease: Integrating Clinical Characteristics and Longitudinal Laboratory Trends.

Journal: Inflammatory bowel diseases
PMID: 39126463

Abstract

BACKGROUND: Achieving long-term clinical remission in Crohn's disease (CD) with antitumor necrosis factor α (anti-TNF-α) agents remains challenging.

Authors

  • Yun Qiu
    Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Shixian Hu
    The Translational Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Kang Chao
    Department of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Lingjie Huang
    Department of Gastroenterology, Sir Run Run Shaw Hospital of Zhejiang University, Hangzhou, China.
  • Zicheng Huang
    Department of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Ren Mao
    Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Fengyuan Su
    The Translational Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Chuhan Zhang
    Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xiaoqing Lin
    Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Qian Cao
    Department of Gastroenterology, Sir Run Run Shaw Hospital of Zhejiang University, Hangzhou, China.
  • Xiang Gao
    Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
  • Minhu Chen
    Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Keywords

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