Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.

Tao Zeng, Xiangtian Yu, Zhangran Chen

Journal: Journal of gastroenterology and hepatology 2021;36(4):832-840

PMID: 33880762

Abstract

For a long time, gut bacteria have been recognized for their important roles in the occurrence and progression of gastrointestinal diseases like colorectal cancer, and the ever-increasing amounts of microbiome data combined with other high-quality clinical and imaging datasets are leading the study of gastrointestinal diseases into an era of biomedical big data. The "omics" technologies used for microbiome analysis continuously evolve, and the machine learning or artificial intelligence technologies are key to extract the relevant information from microbiome data. This review intends to provide a focused summary of recent research and applications of microbiome big data and to discuss the use of artificial intelligence to combat gastrointestinal diseases.

© 2021 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

Address: CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.; Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.; Clinical Reasearch Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.; Institute for Microbial Ecology, School of Medicine, Xiamen University, Xiamen, China.

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