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Validation of Machine Learning Based Personalized Nutrition Algorithm to Reduce Postprandial Glycemic Excursions Among North American Individuals With Newly Diagnosed Type 2 Diabetes

Type2 Diabetes Clinical Trial

Official title:
Validation of Machine Learning Based Personalized Nutrition Algorithm to Reduce Postprandial Glycemic Excursions Among North American Individuals With Newly Diagnosed Type 2 Diabetes

Clinical Trial Summary

This is an initial validation study of the Personal Nutrition Project (PNP) algorithm in a North American population with recently diagnosed Type 2 Diabetes (T2D). This is a 2-stage, single-group feeding study in 20 individuals, including 10 participants managed with lifestyle alone, and 10 managed with lifestyle plus metformin.

Clinical Trial Description

The PNP algorithm, which uses a machine learning algorithm to predict postprandial glycemic, may be efficacious for generating tailored dietary advice to moderate the participant's glycemic response to food. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03053518
Study type Interventional
Source NYU Langone Health
Contact
Status Terminated
Phase N/A
Start date June 30, 2017
Completion date January 31, 2018
View Details
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