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#522: Does Personalized Nutrition Outperform General Dietary Advice?

Sigma Nutrition Radio

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Exploring Personalized Nutrition through the Lens of Predict One Study

The Predict One study focuses on personalized nutrition by analyzing individual responses to meals, particularly postprandial glycemia. The study used a machine learning model to predict an individual's response to a diet by looking at inter-individual differences in glucose, insulin, and triglyceride responses. Despite showing statistically significant differences in response to identical meals, the prediction of high or low postprandial glucose response only explained around 18% of the actual variance in glucose responses, leading to discussions on the magnitude of difference.

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