In silico oncology: A top-down multiscale simulator of cancer dynamics. Studying the effect of symmetric stem cell division on the cellular constitution of a tumour

Stamatakos, GS; Kolokotroni, E; Dionysiou, D; Georgiadi, E; Giatili, S

dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Kolokotroni, E	en
dc.contributor.author	Dionysiou, D	en
dc.contributor.author	Georgiadi, E	en
dc.contributor.author	Giatili, S	en
dc.date.accessioned	2014-03-01T02:52:00Z
dc.date.available	2014-03-01T02:52:00Z
dc.date.issued	2009	en
dc.identifier.issn	16800737	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35813
dc.subject	In silico cancer modelling	en
dc.subject	In silico oncology	en
dc.subject	Multiscale cancer modelling	en
dc.subject	Oncosimulator	en
dc.subject	Top-down approach	en
dc.subject.other	Biocomplexity	en
dc.subject.other	Biomodels	en
dc.subject.other	Cancer stem cells	en
dc.subject.other	Clinical practices	en
dc.subject.other	Core simulations	en
dc.subject.other	In-silico	en
dc.subject.other	In-silico models	en
dc.subject.other	Modelling approaches	en
dc.subject.other	Multiscale cancer modelling	en
dc.subject.other	Multiscales	en
dc.subject.other	Oncosimulator	en
dc.subject.other	Simulation model	en
dc.subject.other	Stem cell	en
dc.subject.other	Top-down approach	en
dc.subject.other	Topdown	en
dc.subject.other	Treatment optimization	en
dc.subject.other	Biomechanics	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Biophysics	en
dc.subject.other	Cell proliferation	en
dc.subject.other	Dynamics	en
dc.subject.other	Image processing	en
dc.subject.other	Imaging systems	en
dc.subject.other	Medical imaging	en
dc.subject.other	Oncology	en
dc.subject.other	Stem cells	en
dc.subject.other	Tumors	en
dc.subject.other	Computer simulation	en
dc.title	In silico oncology: A top-down multiscale simulator of cancer dynamics. Studying the effect of symmetric stem cell division on the cellular constitution of a tumour	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-03882-2-486	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-03882-2-486	en
heal.publicationDate	2009	en
heal.abstract	The tremendous rate of accumulation of experimentally and clinically extracted knowledge concerning cancer at all levels of biocomplexity dictates the development of integrative in silico models of tumour dynamics in order to better understand and treat the disease. Since the eventual translation of biomodels into clinical practice presupposes successful clinical validation we have developed a number of multiscale cancer simulation models oriented towards patient individualized treatment optimization. A top-down modelling approach based primarily on discrete event/state simulation has been proposed, developed and implemented. The emerging simulators have been serving as the core simulation modules (oncosimulators) of both the EC funded research projects Contra-Cancrum and ACGT. In this paper a brief outline of the basics of the approach along with paradigmal results demonstrating the effect of symmetric division of cancer stem cells on the cellular constitution of a tumour are presented. The potential and extensibility of the models are discussed.	en
heal.journalName	IFMBE Proceedings	en
dc.identifier.doi	10.1007/978-3-642-03882-2-486	en
dc.identifier.volume	25	en
dc.identifier.issue	4	en
dc.identifier.spage	1830	en
dc.identifier.epage	1833	en