Machine learning model to predict obesity using gut metabolite and brain microstructure data.

Osadchiy, Vadim; Bal, Roshan; Mayer, Emeran A; Kunapuli, Rama; Dong, Tien; Vora, Priten; Petrasek, Danny; Liu, Cathy; Stains, Jean; Gupta, Arpana

Osadchiy, Vadim; Bal, Roshan; Mayer, Emeran A; Kunapuli, Rama; Dong, Tien; Vora, Priten; Petrasek, Danny; Liu, Cathy; Stains, Jean; Gupta, Arpana.

Affiliation

Osadchiy V; Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
Bal R; UCLA Microbiome Center, Los Angeles, USA.
Mayer EA; G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA.
Kunapuli R; Department of Urology, David Geffen School of Medicine, Los Angeles, USA.
Dong T; Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
Vora P; Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
Petrasek D; UCLA Microbiome Center, Los Angeles, USA.
Liu C; G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA.
Stains J; Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
Gupta A; Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.

Sci Rep ; 13(1): 5488, 2023 04 04.

Article de En | MEDLINE | ID: mdl-37016129

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Surpoids / Microbiome gastro-intestinal Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Sci Rep Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

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