Clinically oriented translational cancer multilevel modeling: The contracancrum project

Marias, K; Sakkalis, V; Roniotis, A; Farmaki, C; Stamatakos, G; Dionysiou, D; Giatili, S; Uzunoglou, N; Graf, N; Bohle, R; Messe, E; Coveney, PV; Manos, S; Wan, S; Folarin, A; Nagl, S; Buchler, P; Bardyn, T; Reyes, M; Clapworthy, G; Mcfarlane, N; Liu, E; Bily, T; Balek, M; Karasek, M; Bednar, V; Sabczynski, J; Opfer, R; Renisch, S; Carlsen, IC

dc.contributor.author	Marias, K	en
dc.contributor.author	Sakkalis, V	en
dc.contributor.author	Roniotis, A	en
dc.contributor.author	Farmaki, C	en
dc.contributor.author	Stamatakos, G	en
dc.contributor.author	Dionysiou, D	en
dc.contributor.author	Giatili, S	en
dc.contributor.author	Uzunoglou, N	en
dc.contributor.author	Graf, N	en
dc.contributor.author	Bohle, R	en
dc.contributor.author	Messe, E	en
dc.contributor.author	Coveney, PV	en
dc.contributor.author	Manos, S	en
dc.contributor.author	Wan, S	en
dc.contributor.author	Folarin, A	en
dc.contributor.author	Nagl, S	en
dc.contributor.author	Buchler, P	en
dc.contributor.author	Bardyn, T	en
dc.contributor.author	Reyes, M	en
dc.contributor.author	Clapworthy, G	en
dc.contributor.author	Mcfarlane, N	en
dc.contributor.author	Liu, E	en
dc.contributor.author	Bily, T	en
dc.contributor.author	Balek, M	en
dc.contributor.author	Karasek, M	en
dc.contributor.author	Bednar, V	en
dc.contributor.author	Sabczynski, J	en
dc.contributor.author	Opfer, R	en
dc.contributor.author	Renisch, S	en
dc.contributor.author	Carlsen, IC	en
dc.date.accessioned	2014-03-01T02:51:57Z
dc.date.available	2014-03-01T02:51:57Z
dc.date.issued	2009	en
dc.identifier.issn	16800737	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35776
dc.subject	Cancer modeling	en
dc.subject	In silico oncology	en
dc.subject	Multi-level models	en
dc.subject	VPH	en
dc.subject.other	Before and after	en
dc.subject.other	Biocomplexity	en
dc.subject.other	Biological mechanisms	en
dc.subject.other	Cancer modeling	en
dc.subject.other	Cancer models	en
dc.subject.other	Cell cycle	en
dc.subject.other	Cell survival	en
dc.subject.other	Clinical data	en
dc.subject.other	Clinical practices	en
dc.subject.other	Clinical study	en
dc.subject.other	Disease treatment	en
dc.subject.other	Finite Element	en
dc.subject.other	In-silico	en
dc.subject.other	Lung Cancer	en
dc.subject.other	Malignant tumors	en
dc.subject.other	Mathematics method	en
dc.subject.other	Monte Carlo techniques	en
dc.subject.other	Multi-level	en
dc.subject.other	Multi-level models	en
dc.subject.other	Multilevel modeling	en
dc.subject.other	Natural phenomena	en
dc.subject.other	Normal tissue	en
dc.subject.other	Patient data	en
dc.subject.other	Simulation prediction	en
dc.subject.other	Therapeutic modality	en
dc.subject.other	Tissue mechanics	en
dc.subject.other	Tumor development	en
dc.subject.other	VPH	en
dc.subject.other	Automata theory	en
dc.subject.other	Biomechanics	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Biophysics	en
dc.subject.other	Cellular automata	en
dc.subject.other	Differential equations	en
dc.subject.other	Forecasting	en
dc.subject.other	Hospital data processing	en
dc.subject.other	Image processing	en
dc.subject.other	Imaging systems	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Oncology	en
dc.subject.other	Pattern recognition systems	en
dc.subject.other	Stem cells	en
dc.subject.other	Tumors	en
dc.subject.other	Medical imaging	en
dc.title	Clinically oriented translational cancer multilevel modeling: The contracancrum project	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-03882-2-564	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-03882-2-564	en
heal.publicationDate	2009	en
heal.abstract	The ContraCancrum project aims at developing a composite multilevel platform for simulating malignant tumor development and tumor and normal tissue response to therapeutic modalities and treatment schedules. The project aims at having an impact primarily in (a) the better understanding of the natural phenomenon of cancer at different levels of biocomplexity and most importantly (b) the disease treatment optimization procedure in the patient's individualized context by simulating the response to various therapeutic regimens. Fundamental biological mechanisms involved in tumor development and tumor and normal tissue treatment response such as metabolism, cell cycle, tissue mechanics, cell survival following treatment etc. are modeled also addressing stem cells in the context of both tumor and normal tissue behavior. The simulators exploit several discrete and continuous mathematics methods such as cellular automata, the generic Monte Carlo technique, finite elements, differential equations, novel dedicated algorithms etc. The predictions of the simulators rely on the imaging, histopathological, molecular and clinical data of the patient. ContraCancrum deploys two important clinical studies for validating the models, one on lung cancer and one on gliomas. The crucial validation work is based on comparing the multi-level therapy simulation predictions with multi-level patient data, acquired before and after therapy. ContraCancrum aims to pave the way for translating clinically validated multilevel cancer models into clinical practice.	en
heal.journalName	IFMBE Proceedings	en
dc.identifier.doi	10.1007/978-3-642-03882-2-564	en
dc.identifier.volume	25	en
dc.identifier.issue	4	en
dc.identifier.spage	2124	en
dc.identifier.epage	2127	en