The oral glucose tolerance test: 100 years later

R Jagannathan, JS Neves, B Dorcely… - Diabetes, Metabolic …, 2020 - Taylor & Francis
For over 100 years, the oral glucose tolerance test (OGTT) has been the cornerstone for
detecting prediabetes and type 2 diabetes (T2DM). In recent decades, controversies have …

The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management

L Sarmiento Varón, J González-Puelma… - Frontiers in public …, 2023 - frontiersin.org
The ongoing COVID-19 pandemic is arguably one of the most challenging health crises in
modern times. The development of effective strategies to control the spread of SARS-CoV-2 …

[HTML][HTML] Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve

A Procopio, M Rania, P Zaffino, N Cortese… - Computer Methods and …, 2025 - Elsevier
Background and objective: Binge eating disorder (BED) is the most frequent eating disorder,
often confused with obesity, with which it shares several characteristics. Early identification …

On the heterogeneous spread of COVID-19 in Chile

D Freire-Flores, N Llanovarced-Kawles… - Chaos, Solitons & …, 2021 - Elsevier
Non-pharmaceutical interventions (NPIs) have played a crucial role in controlling the spread
of COVID-19. Nevertheless, NPI efficacy varies enormously between and within countries …

Mathematical meal models for simulation of human metabolism

TKS Ritschel, AT Reenberg, PE Carstensen… - arXiv preprint arXiv …, 2023 - arxiv.org
We present and critically discuss five commonly used mathematical models of the meal
glucose rate of appearance in humans. Such models are key to simulation of the metabolism …

COVID-19 modeling under uncertainty: statistical data analysis for unveiling true spreading dynamics and guiding correct epidemiological management

A Sanchez-Daza, D Medina-Ortiz… - Modeling, Control and …, 2022 - Springer
In this chapter, we aim to provide a biological, statistical, and mathematical framework to
understand and formulate sensible models to study the spreading dynamics of COVID-19 …

Modeling the effect of glucagon on endogenous glucose production in type 1 diabetes: On the role of glucagon receptor dynamics

C Furió-Novejarque, R Sanz, TKS Ritschel… - Computers in Biology …, 2023 - Elsevier
This paper validates a glucoregulatory model including glucagon receptors dynamics in the
description of endogenous glucose production (EGP). A set of models from literature are …

Construction and optimization of a genetic transformation system for efficient expression of human insulin-GFP fusion gene in flax

W Zhao, R Zhang, L Zhou, Z Zhang, F Du, R Wu… - Bioresources and …, 2024 - Springer
The human insulin gene modified with a C-peptide was synthesized according to the plant-
preferred codon, and a fusion gene expression vector of insulin combined with green …

Patient-Wise Methodology to Assess Glycemic Health Status: Applications to Quantify the Efficacy and Physiological Targets of Polyphenols on Glycemic Control

Á Olivera-Nappa, S Contreras, MF Tevy… - Frontiers in …, 2022 - frontiersin.org
A growing body of evidence indicates that dietary polyphenols could be used as an early
intervention to treat glucose-insulin (GI) dysregulation. However, studies report …

An Approach for Modeling and Analysis of Insulin Biosynthesis using Petri Nets

ML Guateque, AB de Miranda… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
Insulin synthesis is a complex and essential biological process involving a series of
interconnected subprocesses. We present a model of the translational process and post …