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- Title
靶向肠道菌群的精准膳食干预.
- Authors
王鸿超; 党丹婷; 杨子欣; 宋雯燕; 赵思佳; 朱小颖; 陆文伟
- Abstract
The host's immune system} metabolism, and other physiological and pathological states are all influenced by the structure and function of the gut microbiota. Machine learning and deep learning have been used in recent years to explore the potential intervention targets of the gut microbiota, and the technology of developing microbiota-directed food (MDF) and regulating gut microbiota composition in a targeted way to improve human health has gradually advanced. In order to offer a fresh perspective on potential intervention target exploration of gut microbiota in the future and the development of MDF} this article introduced the application of artificial intelligence in the exploration of gut microbiota intervention targets and summarized the development process of MDF and their applications in various aspects such as malnutrition and blood sugar management.
- Subjects
DEEP learning; BLOOD sugar; ARTIFICIAL intelligence; MACHINE learning; MEDIUM density fiberboard; IMMUNE system
- Publication
Journal of Chinese Institute of Food Science & Technology, 2023, Vol 23, Issue 8, p1
- ISSN
1009-7848
- Publication type
Article
- DOI
10.16429/j.1009-7848.2023.08.001