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Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.
Pigsborg, Kristina; Stentoft-Larsen, Valdemar; Demharter, Samuel; Aldubayan, Mona Adnan; Trimigno, Alessia; Khakimov, Bekzod; Engelsen, Søren Balling; Astrup, Arne; Hjorth, Mads Fiil; Dragsted, Lars Ove; Magkos, Faidon.
Affiliation
  • Pigsborg K; Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
  • Stentoft-Larsen V; Abzu ApS, Copenhagen, Denmark.
  • Demharter S; Abzu ApS, Copenhagen, Denmark.
  • Aldubayan MA; Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
  • Trimigno A; King Saud bin Abdulaziz University for Health Sciences, College of Applied Medical Sciences, Riyadh, Saudi Arabia.
  • Khakimov B; Department of Food Science, University of Copenhagen, Frederiksberg, Denmark.
  • Engelsen SB; Department of Food Science, University of Copenhagen, Frederiksberg, Denmark.
  • Astrup A; Department of Food Science, University of Copenhagen, Frederiksberg, Denmark.
  • Hjorth MF; Obesity and Nutritional Sciences, Novo Nordisk Foundation, Hellerup, Denmark.
  • Dragsted LO; Obesity and Nutritional Sciences, Novo Nordisk Foundation, Hellerup, Denmark.
  • Magkos F; Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
Front Nutr ; 10: 1191944, 2023.
Article in En | MEDLINE | ID: mdl-37599689
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Nutr Year: 2023 Document type: Article Affiliation country: Dinamarca Country of publication: Suiza
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Nutr Year: 2023 Document type: Article Affiliation country: Dinamarca Country of publication: Suiza