dc.contributor.author |
Kyriazis, D |
en |
dc.contributor.author |
Menychtas, A |
en |
dc.contributor.author |
Dionysiou, D |
en |
dc.contributor.author |
Stamatakos, G |
en |
dc.contributor.author |
Varvarigou, T |
en |
dc.date.accessioned |
2014-03-01T02:45:11Z |
|
dc.date.available |
2014-03-01T02:45:11Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32186 |
|
dc.subject |
Clinical Study |
en |
dc.subject |
Clinical Trial |
en |
dc.subject |
Computer Simulation |
en |
dc.subject |
Cost Effectiveness |
en |
dc.subject |
glioblastoma multiforme |
en |
dc.subject |
Historical Data |
en |
dc.subject.other |
Biological science |
en |
dc.subject.other |
Clinical study |
en |
dc.subject.other |
Clinical trial |
en |
dc.subject.other |
Computer simulation model |
en |
dc.subject.other |
Glioblastoma multiforme |
en |
dc.subject.other |
Grid environments |
en |
dc.subject.other |
Grid technologies |
en |
dc.subject.other |
Historical data |
en |
dc.subject.other |
Therapeutic treatments |
en |
dc.subject.other |
Tumour growth |
en |
dc.subject.other |
Bioinformatics |
en |
dc.subject.other |
Grid computing |
en |
dc.subject.other |
Tumors |
en |
dc.subject.other |
Simulators |
en |
dc.title |
Clinical trial simulation in grid environments |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/BIBE.2008.4696659 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/BIBE.2008.4696659 |
en |
heal.identifier.secondary |
4696659 |
en |
heal.publicationDate |
2008 |
en |
heal.abstract |
A constantly increasing number of applications from various scientific sectors are finding their way towards adopting Grid technologies in order to take advantage of their capabilities: the advent of Grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. The aim of this paper is to demonstrate how multilevel tumour growth and response to therapeutic treatment models can be used in order to simulate clinical trials, with the long-term intention of better designing clinical studies and understanding their outcome based on basic biological science. For this purpose, a computer simulation model of glioblastoma multiforme response to radiotherapy has been applied to perform the aforementioned simulation in a real Grid environment by also taking into account historical data. The proposed approach yields very good results for the conducted virtual trial since these are in agreement with the outcome of the real clinical study, while the use of Grid technologies demonstrate and highlight their added-value. |
en |
heal.journalName |
8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 |
en |
dc.identifier.doi |
10.1109/BIBE.2008.4696659 |
en |