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Overcoming regional limitations: transfer learning for cross-regional microbial-based diagnosis of diseases.

作者信息

Wang Nan, Cheng Mingyue, Ning Kang

机构信息

Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

出版信息

Gut. 2023 Oct;72(10):2004-2006. doi: 10.1136/gutjnl-2022-328216. Epub 2022 Oct 28.

DOI:10.1136/gutjnl-2022-328216
PMID:36307182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10511966/
Abstract
摘要

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Interpretable Machine Learning Framework Reveals Robust Gut Microbiome Features Associated With Type 2 Diabetes.可解释机器学习框架揭示了与 2 型糖尿病相关的稳健肠道微生物组特征。
Diabetes Care. 2021 Feb;44(2):358-366. doi: 10.2337/dc20-1536. Epub 2020 Dec 7.
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Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study.
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Imeta. 2023 Jan 27;2(1):e83. doi: 10.1002/imt2.83. eCollection 2023 Feb.
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Artificial intelligence in ophthalmology: The path to the real-world clinic.人工智能在眼科学中的应用:通往现实临床的道路。
Cell Rep Med. 2023 Jul 18;4(7):101095. doi: 10.1016/j.xcrm.2023.101095. Epub 2023 Jun 28.
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