Share:
Peer-Reviewed Publication
Am J Clin Nutr2019;110(1):63-75.July 1, 2019Journal Article

Model of personalized postprandial glycemic response to food developed for an Israeli cohort predicts responses in Midwestern American individuals.

Helena Mendes-Soares1,2, Tali Raveh-Sadka3, Shahar Azulay3, Yatir Ben-Shlomo3, Yossi Cohen3, Tal Ofek3, Josh Stevens3, Davidi Bachrach3, Purna Kashyap1,4, Lihi Segal3, Heidi Nelson1,2
1Center for Individualized Medicine, Mayo Clinic, Rochester, MN.
2Department of Surgery, Mayo Clinic, Rochester, MN.
3DayTwo, Adanim, IL.
4Department of Gastroenterology, Mayo Clinic, Rochester, MN.

Abstract

BACKGROUND: Controlled glycemic concentrations are associated with a lower risk of conditions such as cardiovascular disease and diabetes. Models commonly used to guide interventions to control the glycemic response to food have low efficacy, with recent clinical guidelines arguing for the use of personalized approaches. OBJECTIVE: We tested the efficacy of a predictive model of personalized post…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.