Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review. Issue 4 (20th April 2021)

• Record Type: Journal Article
• Authors: Zeng, Tao; Yu, Xiangtian; Chen, Zhangran
• Other Names: Yu Jun guestEditor.
• Is Part Of: Journal of gastroenterology and hepatology. Volume 36:Issue 4(2021)
• Page Start: 832
• Page End: 840
• Publication Date: 2021-04-20
• Subjects: amplicons -- artificial intelligence -- gut bacteria -- metagenomics -- gastrointestinal diseases; Gastroenterology -- Periodicals; Digestive organs -- Diseases -- Periodicals; Liver -- Diseases -- Periodicals; Gastroenterology -- Periodicals; Liver Diseases -- Periodicals; 616.33
• DOI: 10.1111/jgh.15503
• Languages: English
• ISSNs: 0815-9319

Abstract

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.