María José Gómez-Benito

Full professor

Universidad de Zaragoza - Campus Río Ebro

Spain

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About

María José Gómez-Benito is a Full Professor at Universidad de Zaragoza - Campus Río Ebro, Spain. Her research focuses on computational modeling in biomedical applications, particularly in oncology and cell mechanics, as evidenced by her recent publications on prostate cancer modeling and mechanobiology of cell monolayers. She explores innovative approaches, including hybrid models and agent-based methods, to better understand cell behavior and treatment responses.

Articles (20)

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2025

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2021

Collaborators (6)

Daniel Camacho-Gomez

Universidad de Zaragoza

SPAIN

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José Manuel García‐Aznar

SPAIN

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Carlos Borau Zamora

Assistant professor

Centro Universitario de la Defensa Zaragoza

SPAIN

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Silvia Hervas-Raluy

Universidad de Zaragoza

SPAIN

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Bernhard Schrefler

professor emeritus

University of Padua

ITALY

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Julian Pardo

Professor

Universidad de Zaragoza

SPAIN

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María José Gómez-Benito

Research Interests

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About

Articles (20)

In-silico patient-specific modelling of prostate cancer: Predicting PSA dynamics and treatment response

Leveraging computational modeling to explore epithelial and endothelial cell monolayer mechanobiology

Hybrid model to simulate host cell biomechanics and infection spread during intracellular infection of epithelial monolayers

CAR-T cells are more affected than T lymphocytes by mechanical constraints: A microfluidic-based approach

ERK activation waves coordinate mechanical cell competition leading to collective elimination via extrusion of bacterially infected cells

An agent-based method to estimate 3D cell migration trajectories from 2D measurements: Quantifying and comparing T vs CAR-T 3D cell migration

Patient-specific prostate tumour growth simulation: a first step towards the digital twin

Image-based biomarkers for engineering neuroblastoma patient-specific computational models

Interplay of chromatin organization and mechanics of the cell nucleus

A new 3D finite element-based approach for computing cell surface tractions assuming nonlinear conditions (vol 16, e0249018, 2021)

Tumour growth: An approach to calibrate parameters of a multiphase porous media model based on in vitro observations of Neuroblastoma spheroid growth in a hydrogel microenvironment

Unravelling cell migration: defining movement from the cell surface

Confined Cell Migration and Asymmetric Hydraulic Environments to Evaluate the Metastatic Potential of Cancer Cells

A mechanistic protrusive-based model for 3D cell migration

Borrelia burgdorferi modulates the physical forces and immunity signaling in endothelial cells

Computational modelling of epithelial cell monolayers during infection with Listeria monocytogenes

A Stiff Extracellular Matrix Favors the Mechanical Cell Competition that Leads to Extrusion of Bacterially-Infected Epithelial Cells

A 3D multi-agent-based model for lumen morphogenesis: the role of the biophysical properties of the extracellular matrix

A new 3D finite element-based approach for computing cell surface tractions assuming nonlinear conditions

Time-dependent in silico modelling of orthognathic surgery to support the design of biodegradable bone plates

Collaborators (6)

Daniel Camacho-Gomez

José Manuel García‐Aznar

Carlos Borau Zamora

Silvia Hervas-Raluy

Bernhard Schrefler

Julian Pardo

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