Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach

Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach

Background and aimResults from randomized controlled trials indicate that no single diet performs better than other for all people living with obesity. Regardless of the diet plan, there is always large inter-individual variability in weight changes, with some individuals losing weight and some not...

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Bibliographic Details
Main Authors: Kristina Pigsborg, Valdemar Stentoft-Larsen, Samuel Demharter, Mona Adnan Aldubayan, Alessia Trimigno, Bekzod Khakimov, Søren Balling Engelsen, Arne Astrup, Mads Fiil Hjorth, Lars Ove Dragsted, Faidon Magkos
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Nutrition
Subjects:
precision nutrition
metabolomics
obesity
new Nordic diet
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2023.1191944/full

Internet

https://www.frontiersin.org/articles/10.3389/fnut.2023.1191944/full

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