Editorial: Untangle the broad connections and tight interactions between human microbiota and complex diseases through data-driven approaches, volume II

Qi Zhao; Zuo-Bin Zhu; Jian Li; Li Zhang; Liang Wang

doi:10.3389/fmicb.2024.1449474

Editorial: Untangle the broad connections and tight interactions between human microbiota and complex diseases through data-driven approaches, volume II

Front Microbiol. 2024 Jul 10:15:1449474. doi: 10.3389/fmicb.2024.1449474. eCollection 2024.

Authors

Qi Zhao¹, Zuo-Bin Zhu², Jian Li³, Li Zhang⁴, Liang Wang^{5

6}

Affiliations

¹ School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China.
² Department of Genetics, School of Life Sciences, Xuzhou Medical University, Xuzhou, China.
³ School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
⁴ School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.
⁵ Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
⁶ Department of Laboratory Medicine, Shengli Oilfield Central Hospital, Dongying, Shandong, China.

No abstract available

Keywords: artificial intelligence; complex diseases; data-driven approaches; human microbiota; machine learning.

Publication types

Editorial

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. LW appreciated the financial support provided by the Research Foundation for Advanced Talents of Guangdong Provincial People's Hospital (Grant No. KY012023293). QZ appreciated the financial support provided by the Natural Science Foundation of Liaoning Province (Grant No. 2023-MS-288).