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Cancer disease: Integrative modelling approaches

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.
Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


Journal:
2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 More from this journal
Volume:
2006
Pages:
806-809
Publication date:
2006-01-01
Event title:
3rd IEEE International Symposium on Biomedical Imaging
ISSN:
1945-7928
ISBN:
9780780395763


Pubs id:
pubs:12468
UUID:
uuid:549ac513-3d3e-49c9-815f-f76b67085c62
Local pid:
pubs:12468
Source identifiers:
12468
Deposit date:
2012-12-19

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