Prediction of Personal Glycemic Responses to Food for Individuals With Type 1 Diabetes Through Integration of Clinical and Microbial Data | Zendy

Smadar Shilo | Zendy; Anastasia Godneva | Zendy; Marianna Rachmiel | Zendy; Tal Korem | Zendy; Dmitry Kolobkov | Zendy; Tal Karady | Zendy; Noam Bar | Zendy; Bat Chen Wolf | Zendy; Yitav Glantz-Gashai | Zendy; Michal Cohen | Zendy; Nehama ZuckermanLevin | Zendy; Naim Shehadeh | Zendy; Noah Gruber | Zendy; Neriya Levran | Zendy; Shlomit Koren | Zendy; Adina Weinberger | Zendy; Orit PinhasHamiel | Zendy; Eran Segal | Zendy

Open Access

Prediction of Personal Glycemic Responses to Food for Individuals With Type 1 Diabetes Through Integration of Clinical and Microbial Data

Author(s) -

Smadar Shilo,

Anastasia Godneva,

Marianna Rachmiel,

Tal Korem,

Dmitry Kolobkov,

Tal Karady,

Noam Bar,

Bat Chen Wolf,

Yitav Glantz-Gashai,

Michal Cohen,

Nehama ZuckermanLevin,

Naim Shehadeh,

Noah Gruber,

Neriya Levran,

Shlomit Koren,

Adina Weinberger,

Orit PinhasHamiel,

Eran Segal

Publication year - 2021

Publication title -

diabetes care

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.636

H-Index - 363

eISSN - 1935-5548

pISSN - 0149-5992

DOI - 10.2337/dc21-1048

Subject(s) - medicine , glycemic , postprandial , meal , type 1 diabetes , type 2 diabetes , diabetes mellitus , insulin , cohort , glycemic index , anthropometry , glycemic load , physiology , endocrinology

Despite technological advances, results from various clinical trials have repeatedly shown that many individuals with type 1 diabetes (T1D) do not achieve their glycemic goals. One of the major challenges in disease management is the administration of an accurate amount of insulin for each meal that will match the expected postprandial glycemic response (PPGR). The objective of this study was to develop a prediction model for PPGR in individuals with T1D.

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