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Profil bibliographique

Edoardo Faggionato

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

10Publications signalées
34Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Diabetes Management and ResearchDiabetes Treatment and ManagementHyperglycemia and glycemic control in critically ill and hospitalized patientsPancreatic function and diabetesDiabetes and associated disorders

Les publications récentes

Accès ouvert 2026 article OpenAlex

Full-compartmental modeling of [18F]FDG PET suggests divergent brain metabolism trajectories from healthy aging to early Alzheimer disease

Mattia De Francisci, Edoardo Faggionato, Chiara Dalla Man, John J. Lee et autres

Within the Alzheimer disease (AD) spectrum, metabolic alterations occur in addition to proteinopathies. While hypometabolism is frequently observed in the late symptomatic stages, characterizing the metabolic changes during early AD stages might aid in both understanding its pathophysiology and in patient selection …

it, us (code pays fourni par la source)

0 citations Scientific Reports
Accès ouvert 2026 article OpenAlex

Quantifying the Effect of Fat and Protein on the Postprandial Glucose Excursion in Individuals With Type 1 Diabetes Using an Automated Insulin Delivery System

Edoardo Faggionato, Michele Schiavon, Laya Ekhlaspour, Ryan Kingman et autres

Background: Quantifying the effect of meal composition (MC) on postprandial glucose excursions would allow optimizing insulin therapy, accounting for fat and protein that can affect gastric retention (GR), glucose rate of appearance (R a ), and insulin sensitivity (S I ). Such …

it, us (code pays fourni par la source)

0 citations Journal of Diabetes Science and Technology
Accès ouvert 2025 article OpenAlex

Modeling the effect of glucagon on endogenous glucose production in healthy individuals under meal-like conditions

Edoardo Faggionato, Alessio Tonello, MARCELLO C. LAURENTI, Adrian Vella et autres

The model can be used to quantify hepatic glucagon and insulin sensitivity, accounting also for glucagon evanescence over time. The ability to quantify glucagon effects on postprandial glucose metabolism will further our understanding of its role in the onset and progression of …

it, us (code pays fourni par la source)

0 citations American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
Accès ouvert 2025 article OpenAlex

A new C-peptide minimal model to assess β-cell responsiveness to glucagon in individuals with and without type 2 diabetes

Francesca S. Boscolo, Edoardo Faggionato, Andrew A. Welch, RAHELE A. FARAHANI et autres

In this study, we propose a new mathematical model able to quantify C-peptide secretion and β-cell responsivity in response to a glucagon bolus in individuals without and with type 2 diabetes. We show that individuals with type 2 diabetes exhibit reduced β-cell …

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2 citations American Journal of Physiology-Endocrinology and Metabolism
Accès ouvert 2025 article OpenAlex

Simulation of High-Fat High-Protein Meals Using the UVA/Padova T1D Simulator

Edoardo Faggionato, Michele Schiavon, Chiara Dalla Man

Meals with a high content of fat (F) and protein (P) still represent a significant challenge for optimal glycemic control in individuals with type 1 diabetes (T1D). Current strategies dealing with such meals require patients to undergo a series of trial-and-error visits …

it (code pays fourni par la source)

1 citation IFAC-PapersOnLine
Accès ouvert 2023 article OpenAlex

The Minimally-Invasive Oral Glucose Minimal Model: Estimation of Gastric Retention, Glucose Rate of Appearance, and Insulin Sensitivity From Type 1 Diabetes Data Collected in Real-Life Conditions

Edoardo Faggionato, Michele Schiavon, Laya Ekhlaspour, Bruce A. Buckingham et autres

OBJECTIVE: Modeling the effect of meal composition on glucose excursion would help in designing decision support systems (DSS) for type 1 diabetes (T1D) management. In fact, macronutrients differently affect post-prandial gastric retention (GR), rate of appearance (R[Formula: see text]), and insulin sensitivity …

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8 citations IEEE Transactions on Biomedical Engineering
Accès ouvert 2023 article OpenAlex

Nonlinear Mixed Effects Modeling of Glucagon Kinetics in Healthy Subjects

Edoardo Faggionato, MARCELLO C. LAURENTI, Adrian Vella, Chiara Dalla Man

Objective: To date, the lack of a model of glucagon kinetics precluded the possibility of estimating and studying glucagon secretionin vivo, e.g., using deconvolution, as done for other hormones like insulin and C-peptide. Here, we used a nonlinear mixed effects technique to …

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4 citations IEEE Transactions on Biomedical Engineering
Accès ouvert 2023 article OpenAlex

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin

Edoardo Faggionato, Alessandro Guazzo, Elena Pegolo, Ruggero Carli et autres

OBJECTIVE: Effective dosing of anticoagulants aims to prevent blood clot formation while avoiding hemorrhages. This complex task is challenged by several disturbing factors and drug-effect uncertainties, requesting frequent monitoring and adjustment. Biovariability in drug absorption and action further complicates titration and calls …

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5 citations IEEE Transactions on Biomedical Engineering
2021 conference-paper OpenAlex

Modeling Between-Subject Variability in Subcutaneous Absorption of a Long-Acting Insulin Glargine 100 U/mL by a Nonlinear Mixed Effects Approach

Edoardo Faggionato, Michele Schiavon, Chiara Dalla Man

Subcutaneous insulin absorption is well-known to vary significantly both between and within subjects (BSV and WSV, respectively). This variability considerably obstacles the establishing of a reproducible and effective insulin therapy. Some models exist to describe the subcutaneous kinetics of both fast and …

it (code pays fourni par la source)

0 citations 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Accès ouvert 2021 article OpenAlex

Modeling Between-Subject Variability in Subcutaneous Absorption of a Fast-Acting Insulin Analogue by a Nonlinear Mixed Effects Approach

Edoardo Faggionato, Michele Schiavon, Chiara Dalla Man

Despite the great progress made in insulin preparation and titration, many patients with diabetes are still experiencing dangerous fluctuations in their blood glucose levels. This is mainly due to the large between- and within-subject variability, which considerably hampers insulin therapy, leading to …

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14 citations Metabolites

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