Artificial intelligence driven definition of food preference endotypes in UK Biobank volunteers is associated with distinctive health outcomes and blood based metabolomic and proteomic profiles - Navratilova, Hana F.; Whetton, Anthony D.; Geifman, Nophar (Journal of translational medicine, 2024)
Keywords: Adult; Aged; Algorithms; Analysis; Artificial Intelligence; Biological Specimen Banks; Biomarkers; Biomedical and Life Sciences; Biomedicine; C-reactive protein; Chronic kidney failure; Comparative analysis; Diet; Evaluation; Female; Fishes; Food habits; Food Preferences; Health; Health aspects; Humans; Latent Profile Analysis; Leptin; Machine learning; Male; Medicine/Public Health; Metabolites; Metabolome; Metabolomics; Middle Aged; Nutrition & metabolism; Protein binding; Proteomics; Proteomics - methods; Questionnaires; Relative risk; Somatotropin; Surveys; Surveys and Questionnaires; UK Biobank; United Kingdom; United Kingdom; Metabolomics; Unsupervised machine learning; Proteomics; Biomarkers; Food preferences; Latent Profile Analysis; Relative risk