Machine Learning-Driven Precision Nutrition: A Paradigm Evolution in Dietary Assessment and Intervention.

Gespeichert in:
Bibliographische Detailangaben
Titel: Machine Learning-Driven Precision Nutrition: A Paradigm Evolution in Dietary Assessment and Intervention.
Autoren: Quan, Wenbin1,2,3 (AUTHOR), Zhou, Jingbo2,4 (AUTHOR), Wang, Juan1,2,3 (AUTHOR), Huang, Jihong1,2,4,5 (AUTHOR), Du, Liping2,5,6 (AUTHOR)
Quelle: Nutrients. Jan2026, Vol. 18 Issue 1, p45. 27p.
Publikationsart: Article
Author Affiliations: 1Food and Pharmacy College, Xuchang University, Xuchang 461000, China
2Collaborative Innovation Center of Functional Food by Green Manufacturing, Xuchang 461000, China
3School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
4Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
5College of Agriculture, Henan University, Kaifeng 475001, China
6Key Laboratory of Industrial Fermentation Microbiology Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
Full Text Word Count: 15617
ISSN: 2072-6643
DOI: 10.3390/nu18010045
Dokumentencode: 190788042
Datenbank: Veterinary Source
Volltext ist per Gastzugang nicht verfügbar.
Beschreibung
ISSN:20726643
DOI:10.3390/nu18010045