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应用人工智能于胃肠道疾病的微生物组学研究:综述。

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

机构信息

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.

出版信息

J Gastroenterol Hepatol. 2021 Apr;36(4):832-840. doi: 10.1111/jgh.15503.

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.

摘要

长期以来,肠道细菌在结直肠癌等胃肠道疾病的发生和发展中一直发挥着重要作用,而微生物组数据的不断增加,加上其他高质量的临床和影像数据集,正在将胃肠道疾病的研究带入生物医学大数据时代。用于微生物组分析的“组学”技术不断发展,机器学习或人工智能技术是从微生物组数据中提取相关信息的关键。本文旨在对微生物组大数据的最新研究和应用进行重点总结,并讨论人工智能在对抗胃肠道疾病方面的应用。

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