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.
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;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
DOI :
10.1109/ISBI.2006.1625040
