A 3D multi-agent-based model for lumen morphogenesis: the role of the biophysical properties of the extracellular matrix. - Daniel Camacho-Gómez; José Manuel García-Aznar; María José Gómez-Benito (Eng. Comput., 2022)

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. - Silvia Hervas-Raluy; Barbara Wirthl; Pedro E. Guerrero; Gil Robalo Rei; Jonas Nitzler; Esther Coronado; Jaime Font de Mora Sainz; Bernhard A. Schrefler; María José Gómez-Benito; José Manuel García-Aznar; Wolfgang A. Wall (Comput. Biol. Medicine, 2023)

An agent-based method to estimate 3D cell migration trajectories from 2D measurements: Quantifying and comparing T vs CAR-T 3D cell migration. - Daniel Camacho-Gómez; Nieves Movilla; Carlos Borau; Alejandro Martin; Carmen Oñate Salafranca; Julian Pardo; María José Gómez-Benito; José Manuel García-Aznar (Comput. Methods Programs Biomed., 2024)

Image-based biomarkers for engineering neuroblastoma patient-specific computational models. - Silvia Hervas-Raluy; Diego Sainz-DeMena; María José Gómez-Benito; José Manuel García-Aznar (Eng. Comput., 2024)

Hybrid model to simulate host cell biomechanics and infection spread during intracellular infection of epithelial monolayers. - Raul Aparicio-Yuste; Lara Hundsdorfer; Effie E. Bastounis; María José Gómez-Benito (Comput. Biol. Medicine, 2025)

In-silico patient-specific modelling of prostate cancer: Predicting PSA dynamics and treatment response. - Ángela Pérez-Benito; Adrián Galiana-Bordera; Pedro Miguel Martínez-Gironés; Gemma Urbanos; Anna Nogué Infante; María José Gómez-Benito; María Ángeles Pérez 002 (Comput. Methods Programs Biomed., 2025)

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests. - Daniel Camacho-Gómez; Carlos Borau; José Manuel García-Aznar; María José Gómez-Benito; Mark Girolami; María Ángeles Pérez 002 (npj Digit. Medicine, 2025)