Predicting metabolic response to dietary intervention using deep learning.

Wang, Tong; Holscher, Hannah D; Maslov, Sergei; Hu, Frank B; Weiss, Scott T; Liu, Yang-Yu

Wang, Tong; Holscher, Hannah D; Maslov, Sergei; Hu, Frank B; Weiss, Scott T; Liu, Yang-Yu.

Afiliación

Wang T; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Holscher HD; Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Maslov S; Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Hu FB; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Weiss ST; Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Liu YY; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

bioRxiv ; 2023 Mar 15.

Article en En | MEDLINE | ID: mdl-36993761

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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