Siri, What Should I Eat?
Author(s) -
Reiner Jumpertz von Schwartzenberg,
Peter J. Turnbaugh
Publication year - 2015
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2015.11.012
Subject(s) - glycemic , type 2 diabetes , microbiome , cohort , diabetes mellitus , insulin resistance , biology , gerontology , disease , medicine , endocrinology , bioinformatics
Zeevi et al. report that extensive monitoring of a human cohort for variations in dietary intake, lifestyle, host phenotype, and the gut microbiome has enabled the development of a machine-learning algorithm that accurately predicts the individual glycemic response to meals, providing an important first step toward personalized nutrition.
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