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Cell. 2015 Nov 19;163(5):1051-1052. doi: 10.1016/j.cell.2015.11.012.

Siri, What Should I Eat?

Author information

1
University of California, San Francisco, Department of Microbiology and Immunology, G.W. Hooper Research Foundation, 513 Parnassus Avenue, HSE 1001F, San Francisco, CA 94143-0552, USA; Charité Universitätsmedizin Berlin, Department of Endocrinology and Metabolic Diseases, Charitéplatz 1, 10117 Berlin, Germany.
2
University of California, San Francisco, Department of Microbiology and Immunology, G.W. Hooper Research Foundation, 513 Parnassus Avenue, HSE 1001F, San Francisco, CA 94143-0552, USA. Electronic address: peter.turnbaugh@ucsf.edu.

Abstract

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.

PMID:
26590412
DOI:
10.1016/j.cell.2015.11.012
[Indexed for MEDLINE]
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