Year: 2024
Type: article
Abstract: The GlucoScore is an innovative metric developed to quantify the glycemic impact of various foods and meals, essential for precision nutrition strategies.Calibrated using over 100,000 hours of metabolic data from more than 1,500 users, the GlucoScore ranges from 1 to 10, with higher scores indicating minimal glycemic impact.This metric incorporates key parameters such as maximum glucose peak, amplitude of the glucose curve, variation over time, and area under the curve (AUC) as main variables to parametrize Artificial Intelligence for an automation of the knowledge.Validation against 10,000 meals demonstrated a high repeatability with an error margin of less than 10%.GlucoScore's adaptive learning capabilities continuously enhance its accuracy, processing glycemic data within a few seconds after the analysis window.This paper explores the development, calibration, and implications of the GlucoScore in metabolic health with some examples.
Authors: Conde Mellado Alberto, Arróniz Nere
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4402931142