162457 20260418110659.0 doi 10.1007/s11831-025-10291-y sideral 145032 ART-2025-145032 eng Ayensa-Jiménez, Jacobo (orcid)0000-0003-2564-6038 An Overview from Physically-Based to Data-Driven Approaches of the Modelling and Simulation of Glioblastoma Progression in Microfluidic Devices 2025 Access copy available to the general public Unrestricted In silico models and computational tools are invaluable instruments that complement experiments to improve our understanding of complex phenomena such as cancer evolution. This work offers a perspective on different approaches that can be used for mathematical modeling of glioblastoma, the most common and lethal brain cancer, in microfluidic devices, the most biomimetic in vitro cell culture technique nowadays. These approaches range from purely knowledge-based solutions to data-driven, and hence completely model-free, algorithms. In particular, we focus on hybrid approaches, which combine physically-based and data-driven strategies, demonstrating how this integration can enhance the understanding we get from simulation by revealing the underlying model structure and thus, in turn, the prospective biological mechanism. info:eu-repo/grantAgreement/ES/AEI/PID2021-126051OB-C41 info:eu-repo/grantAgreement/ES/DGA/T62-230R info:eu-repo/grantAgreement/ES/MICINN/PID2022-138572OB-C44 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pérez-Aliacar, Marina (orcid)0000-0002-7909-4446 Doweidar, Mohamed H. Universidad de Zaragoza (orcid)0000-0003-0088-7222 Gaffney, Eamonn A. Doblaré, Manuel Universidad de Zaragoza (orcid)0000-0001-8741-6452 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 32 (2025), 5037-5073 Arch. comput. methods eng. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING 1134-3060 7842462 http://zaguan.unizar.es/record/162457/files/texto_completo.pdf Versión publicada 2110892 http://zaguan.unizar.es/record/162457/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162457 articulos driver 2026-04-18-11:05:08 ARTICLE