DocumentCode
1818350
Title
Cancer disease: integrative modelling approaches
Author
Byrne, Helen M. ; Owen, Markus R. ; Alarcon, Tomas ; Maini, Philip K.
Author_Institution
Sch. of Math. Sci., Nottingham Univ.
fYear
2006
fDate
6-9 April 2006
Firstpage
806
Lastpage
809
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
Keywords
cancer; cellular automata; cellular biophysics; patient treatment; physiological models; tumours; cancer disease; cellular features; chemotherapy; hybrid cellular automaton; integrative modelling; subcellular features; tissue features; tumour evolution; vascular tumour growth; Automata; Biological system modeling; Biology; Blood flow; Cancer; Chemical elements; Diseases; Joining processes; Production; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7803-9576-X
Type
conf
DOI
10.1109/ISBI.2006.1625040
Filename
1625040
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