The Mathematical Institute, University of Oxford, Eprints Archive

Cancer disease: integrative modelling approaches

Byrne, H. M. and Owen, M. R. and Alarcon, T. and Maini, P. K. (2006) Cancer disease: integrative modelling approaches. 3rd IEEE International Symposium on Biomedical Imaging (1). pp. 806-809.

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Abstract

Cancer is a complex disease in which a variety of phenomena interact over a wide range of spatial and temporal scales. In this article a theoretical framework will be introduced that is capable of linking together such processes to produce a detailed model of vascular tumour growth. The model is formulated as a hybrid cellular automaton and contains submodels that describe subcellular, cellular and tissue level features. Model simulations will be presented to illustrate the effect that coupling between these different elements has on the tumour's evolution and its response to chemotherapy.

Item Type:Article
Subjects:A - C > Biology and other natural sciences
Research Groups:Centre for Mathematical Biology
ID Code:322
Deposited By:Philip Maini
Deposited On:08 Nov 2006
Last Modified:20 Jul 2009 14:20

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