Exploiting grid technologies for the simulation of clinical trials: The paradigm of in silico radiation oncology

Athanaileas, T; Menychtas, A; Dionysiou, D; Kyriazis, D; Kaklamani, D; Varvarigou, T; Uzunoglu, N; Stamatakos, G

dc.contributor.author	Athanaileas, T	en
dc.contributor.author	Menychtas, A	en
dc.contributor.author	Dionysiou, D	en
dc.contributor.author	Kyriazis, D	en
dc.contributor.author	Kaklamani, D	en
dc.contributor.author	Varvarigou, T	en
dc.contributor.author	Uzunoglu, N	en
dc.contributor.author	Stamatakos, G	en
dc.date.accessioned	2014-03-01T01:35:42Z
dc.date.available	2014-03-01T01:35:42Z
dc.date.issued	2011	en
dc.identifier.issn	0037-5497	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21163
dc.subject	Grid computing	en
dc.subject	grid portal	en
dc.subject	In silico oncology	en
dc.subject	parameter sweep simulations	en
dc.subject	virtual clinical trial	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Attractive solutions	en
dc.subject.other	Bio systems	en
dc.subject.other	Biocomplexity	en
dc.subject.other	Biological mechanisms	en
dc.subject.other	Clinical trial	en
dc.subject.other	Computational requirements	en
dc.subject.other	Critical parameter	en
dc.subject.other	e-Science	en
dc.subject.other	End-user interfaces	en
dc.subject.other	Execution time	en
dc.subject.other	Exponential increase	en
dc.subject.other	Glioblastoma multiforme	en
dc.subject.other	Grid environments	en
dc.subject.other	Grid infrastructures	en
dc.subject.other	Grid portals	en
dc.subject.other	Grid technologies	en
dc.subject.other	Grid-enabled simulations	en
dc.subject.other	In-silico	en
dc.subject.other	Multiscales	en
dc.subject.other	parameter sweep simulations	en
dc.subject.other	Parameters characterizing	en
dc.subject.other	Quality of service provisioning	en
dc.subject.other	Radiation oncology	en
dc.subject.other	Simulation environment	en
dc.subject.other	Simulation model	en
dc.subject.other	Web portal	en
dc.subject.other	Circuit simulation	en
dc.subject.other	Experiments	en
dc.subject.other	Medical applications	en
dc.subject.other	Oncology	en
dc.subject.other	Quality of service	en
dc.subject.other	Radiotherapy	en
dc.subject.other	User interfaces	en
dc.subject.other	Virtual reality	en
dc.subject.other	Grid computing	en
dc.title	Exploiting grid technologies for the simulation of clinical trials: The paradigm of in silico radiation oncology	en
heal.type	journalArticle	en
heal.identifier.primary	10.1177/0037549710375437	en
heal.identifier.secondary	http://dx.doi.org/10.1177/0037549710375437	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	In silico (on the computer) oncology is a complex and multiscale combination of sciences and technologies that focuses on the study and modelling of biological mechanisms related to the phenomenon of cancer at all levels of biocomplexity. In silico oncology simulation models may be used for evaluating and comparing different therapeutic schemes, while at the same time considering different values of critical parameters which present substantial inter-patient variability. As the number of the involved parameters characterizing both the complex tumour biosystem and possible treatment schemes increases, the resulting exponential increase in computational requirements makes the use of a grid environment for the execution of the simulations a particularly attractive solution. In this paper, a grid-enabled simulation environment for the execution of in silico oncology radiotherapy simulations on grid infrastructures is presented and implementation details are discussed. The environment provides a web portal as the end-user interface and contains advanced features that facilitate the execution of in silico oncology simulations in grid environments. Special consideration has been given during the development of the environment in order to simplify the maintenance and extension of the application, while additional services for Quality of Service provisioning have been applied. The simulation environment has been employed in order to perform several scenarios of glioblastoma multiforme radiotherapy simulations on the Enabling Grids for E-sciencE (EGEE) grid infrastructure. Indicative simulation results, as well as statistics regarding execution times on the grid, are presented. © The Author(s) 2010.	en
heal.publisher	SAGE PUBLICATIONS LTD	en
heal.journalName	Simulation	en
dc.identifier.doi	10.1177/0037549710375437	en
dc.identifier.isi	ISI:000295597400004	en
dc.identifier.volume	87	en
dc.identifier.issue	10	en
dc.identifier.spage	893	en
dc.identifier.epage	910	en