Advancing the precision management of inflammatory bowel disease in the era of omics approaches and new technology.

Journal: World journal of gastroenterology
Published Date:

Abstract

There is great heterogeneity among inflammatory bowel disease (IBD) patients in terms of pathogenesis, clinical manifestation, response to treatment, and prognosis, which requires the individualized and precision management of patients. Many studies have focused on prediction biomarkers and models for assessing IBD disease type, activity, severity, and prognosis. During the era of biologics, how to predict the response and side effects of patients to different treatments and how to quickly recognize the loss of response have also become important topics. Multiomics is a promising area for investigating the complex network of IBD pathogenesis. Integrating numerous amounts of data requires the use of artificial intelligence.

Authors

  • Xin-Yu Liu
    Department of Gastroenterology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China.
  • Hao Tang
    Department of Urology, Eastern Theater General Hospital of Chinese People's Liberation Army, Nanjing, Jiangsu 210000, China.
  • Qing-Yang Zhou
    Department of Gastroenterology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China.
  • Yan-Lin Zeng
    Department of Gastroenterology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China.
  • Dan Chen
    Department of Information Engineering, Southwest Jiaotong University Hope College, Chengdu, Sichuan, China.
  • Hui Xu
    No 202 Hospital of People's Liberation Army, Liaoning 110003, China.
  • Yue Li
    School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China.
  • Bei Tan
    Department of Gastroenterology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China. tanbei0626@aliyun.com.
  • Jia-Ming Qian