Journal
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
Volume 36, Issue 4, Pages 832-840Publisher
WILEY
DOI: 10.1111/jgh.15503
Keywords
amplicons; artificial intelligence; gut bacteria; metagenomics; gastrointestinal diseases
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Funding
- National Natural Science Foundation of China [11871456, 61803360] Funding Source: Medline
- Strategic Priority Research Program of Chinese Academy of Sciences [XDB38050200] Funding Source: Medline
- Shanghai Municipal Science and Technology Major Project [2017SHZDZX01] Funding Source: Medline
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In recent years, there has been a growing focus on the role of microbiome big data in gastrointestinal diseases, with the use of artificial intelligence technologies to extract relevant information.
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.
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