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dc.contributor.authorMacnamara, Cicely K.
dc.contributor.authorCaiazzo, Alfonso
dc.contributor.authorRamis-Conde, Ignacio
dc.contributor.authorChaplain, Mark Andrew Joseph
dc.identifier.citationMacnamara , C K , Caiazzo , A , Ramis-Conde , I & Chaplain , M A J 2020 , ' Computational modelling and simulation of cancer growth and migration within a 3D heterogeneous tissue : the effects of fibre and vascular structure ' , Journal of Computational Science , vol. 40 , 101067 .
dc.identifier.otherORCID: /0000-0003-4961-6052/work/66398374
dc.identifier.otherORCID: /0000-0001-5727-2160/work/66398416
dc.descriptionFunding: MAJC and CKM gratefully acknowledge the support of EPSRC Grant No. EP/N014642/1 (EPSRC Centre for Multiscale Soft Tissue Mechanics - With Application to Heart & Cancer).en
dc.description.abstractThe term cancer covers a multitude of bodily diseases, broadly categorised by having cells which do not behave normally. Since cancer cells can arise from any type of cell in the body, cancers can grow in or around any tissue or organ making the disease highly complex. Our research is focused on understanding the specific mechanisms that occur in the tumour microenvironment via mathematical and computational modeling. We present a 3D individual-based model which allows one to simulate the behaviour of, and spatio-temporal interactions between, cells, extracellular matrix fibres and blood vessels. Each agent (a single cell, for example) is fully realised within the model and interactions are primarily governed by mechanical forces between elements. However, as well as the mechanical interactions we also consider chemical interactions, for example, by coupling the code to a finite element solver to model the diffusion of oxygen from blood vessels to cells. The current state of the art of the model allows us to simulate tumour growth around an arbitrary blood-vessel network or along the striations of fibrous tissue.
dc.relation.ispartofJournal of Computational Scienceen
dc.subjectCancer modellingen
dc.subjectIndividual-based modelen
dc.subjectCell-matrix interactionen
dc.subjectFinite element methoden
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQH301 Biologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleComputational modelling and simulation of cancer growth and migration within a 3D heterogeneous tissue : the effects of fibre and vascular structureen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Applied Mathematicsen
dc.description.statusPeer revieweden

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