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Authors: Andrés Díaz Lantada ; Miguel Urosa Sánchez and David Fernández Fernández

Affiliation: Department of Mechanical Engineering, ETSI Industriales, Universidad Politécnica de Madrid, c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain

Keyword(s): Software as Medical Device, in silico Tissue Engineering, Cell Simulation, Cellular Automata, Finite Element Modelling, Multi-Scale Modelling.

Abstract: An innovative approach for in silico tissue engineering and cancer treatment is presented in this study. It is based on the employment of cellular automata (CA) and cellular automata hybridised with finite-element models (FEM) for simulating cells within tissue engineering scaffolds. Thanks to the presented strategy, it has been possible to model cells colonising scaffolds, the interactions among different populations of cells and between the cells and the scaffolds as extracellular matrices, and the effects of external stimuli, like temperature, for treating disease. Among the advances incorporated to conventional models based on cellular automata it is important to mention: the establishment of a direct connection between CAD models and the simulation workspace, the incorporation of a wall factor for considering the affinity of cells for the extracellular matrix, the coupling of FEM simulations to the cellular automata for rendering them more versatile, and the modelling of interac tions among different types of cells. Results, limitations, and potentials of these simulation approaches are presented and discussed, in connection with current trends in software as a medical device (SaMD). (More)

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Paper citation in several formats:
Díaz Lantada, A.; Urosa Sánchez, M. and Fernández Fernández, D. (2023). In silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIODEVICES; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 56-63. DOI: 10.5220/0011742300003414

@conference{biodevices23,
author={Andrés {Díaz Lantada}. and Miguel {Urosa Sánchez}. and David {Fernández Fernández}.},
title={In silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIODEVICES},
year={2023},
pages={56-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011742300003414},
isbn={978-989-758-631-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIODEVICES
TI - In silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models
SN - 978-989-758-631-6
IS - 2184-4305
AU - Díaz Lantada, A.
AU - Urosa Sánchez, M.
AU - Fernández Fernández, D.
PY - 2023
SP - 56
EP - 63
DO - 10.5220/0011742300003414
PB - SciTePress