88323 20210820090344.0 doi 10.1007/978-3-030-15372-4_1 sideral 111496 ART-2019-111496 eng Gómez-Benito, M.J. Universidad de Zaragoza (orcid)0000-0002-1878-8997 Computational modelling of wound healing insights to develop new treatments 2019 Access copy available to the general public Unrestricted About 1% of the population will suffer a severe wound during their life. Thus, it is really important to develop new techniques in order to properly treat these injuries due to the high socioeconomically impact they suppose. Skin substitutes and pressure based therapies are currently the most promising techniques to heal these injuries. Nevertheless, we are still far from finding a definitive skin substitute for the treatment of all chronic wounds. As a first step in developing new tissue engineering tools and treatment techniques for wound healing, in silico models could help in understanding the mechanisms and factors implicated in wound healing. Here, we review mathematical models of wound healing. These models include different tissue and cell types involved in healing, as well as biochemical and mechanical factors which determine this process. Special attention is paid to the contraction mechanism of cells as an answer to the tissue mechanical state. Other cell processes such as differentiation and proliferation are also included in the models together with extracellular matrix production. The results obtained show the dependency of the success of wound healing on tissue composition and the importance of the different biomechanical and biochemical factors. This could help to individuate the adequate concentration of growth factors to accelerate healing and also the best mechanical properties of the new skin substitute depending on the wound location in the body and its size and shape. Thus, the feedback loop of computational models, experimental works and tissue engineering could help to identify the key features in the design of new treatments to heal severe wounds. info:eu-repo/grantAgreement/EUR/FP7/ERC2012-StG-306751 info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2012-32880 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.21 2019 Fluid Flow and Transfer Processes 2019 Q3 Electrical and Electronic Engineering 2019 Q3 Computational Mathematics 2019 Q3 Civil and Structural Engineering 2019 Q3 Modeling and Simulation 2019 Q4 Biomedical Engineering 2019 Q4 Computer Science Applications 2019 Q4 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Valero, C. Universidad de Zaragoza (orcid)0000-0003-0270-3925 García-Aznar, J.M. Universidad de Zaragoza (orcid)0000-0002-9864-7683 Javierre, E. (orcid)0000-0002-8117-1674 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 51 (2019), 1-19 Comput. methods appl. sci. Computational methods in applied sciences 1871-3033 245317 http://zaguan.unizar.es/record/88323/files/texto_completo.pdf Postprint 17679 http://zaguan.unizar.es/record/88323/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:88323 articulos driver 2021-08-20-08:37:12 ARTICLE