Alfio Quarteroni

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Combining physics-based and data-driven models: advancing the frontiers of research with scientific machine learning

Scientific Machine Learning (SciML) is a recently emerged research field which combines physics-based and data-driven models for the numerical approximation of differential problems. Physics-based models rely on the physical understanding of the problem at ...

2025

Accurate Reconstruction of Right Heart Shape and Motion From Cine-MRI for Image-Driven Computational Hemodynamics

Alfio Quarteroni

Accurate reconstruction of the right heart geometry and motion from time-resolved medical images is crucial for diagnostic enhancement and computational analysis of cardiac blood dynamics. Commonly used segmentation and/or reconstruction techniques, exclus ...

Wiley2025

Defining myocardial fiber bundle architecture in atrial digital twins

Alfio Quarteroni

A key component in developing atrial digital twins (ADT) - virtual representations of patients’ atria — is the accurate prescription of myocardial fibers which are essential for the tissue characterization. Due to the difficulty of reconstructing atrial fi ...

2025

Two New Calibration Techniques of Lumped-Parameter Mathematical Models for the Cardiovascular System

Alfio Quarteroni

Cardiocirculatory mathematical models are valuable tools for investigating both physiological and pathological conditions of the circulatory system. To assess an individual's clinical condition, these models must be tailored through parameter calibration. ...

Wiley2025

Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanics

Alfio Quarteroni

Multiphysics and multiscale mathematical models enable the non-invasive study of cardiac function. These models often rely on simplifying assumptions that neglect certain biophysical processes to balance fidelity and computational cost. In this work, we pr ...

2025

A reduced 3D-0D fluid–structure interaction model of the aortic valve that includes leaflet curvature

Alfio Quarteroni

We introduce an innovative lumped-parameter model of the aortic valve, designed to efficiently simulate the impact of valve dynamics on blood flow. Our reduced model includes the elastic effects associated with the leaflets’ curvature and the stress exchan ...

2025

A Multi-Age Multi-Group Epidemiological Model and Its Validation on the COVID-19 Epidemic in Italy: SEIHRDV

Alfio Quarteroni

We propose a novel epidemiological model, referred to as SEIHRDV, for the numerical simulation of the COVID-19 epidemic, validated using data from Italy starting in September 2020. SEIHRDV includes the following compartments: Susceptible (S), Exposed (E), ...

MDPI2025

A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system

Alfio Quarteroni

Impaired cardiac function has been described as a frequent complication of COVID-19-related pneumonia. To investigate possible underlying mechanisms, we represented the cardiovascular system by means of a lumped-parameter 0D mathematical model. The model w ...

Nature Portfolio2024

Computational fluid-structure interaction analysis of the end-to-side radio-cephalic arteriovenous fistula

Alfio Quarteroni

Background and Objective: In the current work, we present a descriptive fluid-structure interaction computational study of the end -to -side radio-cephalic arteriovenous fistula. This allows us to account for the different thicknesses and elastic propertie ...

Elsevier Ireland Ltd2024

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Alfio Quarteroni, Andrea Manzoni

In this paper, we propose a reduced-order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods. We split the original coupled differential problem into two sub-problems wi ...

Springer/Plenum Publishers2024

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