The Glycemic Index (GI) is a tool for classifying carbohydrates based on their impact on postprandial glycemia, useful for diabetes prevention and management. This study applies a mathematical model for a data driven simulation of the glycemic response following glucose ingestion. The analysis is performed on a dataset of 35 healthy subjects undergone a standard 50 g oral glucose test. The results reveal a direct correlation between glucose response profiles and parameters describing glucose absorption, enabling the classification of subjects into three groups based on the timing of their glycemic peak: <30 min, 30-50 min, >50 min. These findings highlight the ability of a physiology-based mathematical model to capture inter-individual variability in postprandial glucose dynamics and represent a step toward simulation-based approaches for GI estimation.
@article{arxiv.2506.15471,
title = {Automatic computation of the glycemic index: data driven analysis of the glucose standard},
author = {Fabio Credali and Maria Teresa Venuti and Daniele Boffi and Paola Rossi},
journal= {arXiv preprint arXiv:2506.15471},
year = {2026}
}