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

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National Technical University of Athens   

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Exploiting grid technologies for the simulation of clinical trials: The paradigm of in silico radiation oncology (EN)
Varvarigou, T (EN)
Stamatakos, G (EN)
Menychtas, A (EN)
Kaklamani, D (EN)
Dionysiou, D (EN)
Athanaileas, T (EN)
Kyriazis, D (EN)
Uzunoglu, N (EN)
journalArticle (EN)
2014-03-01T01:35:42Z
2011 (EN)
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)
Computer Science, Interdisciplinary Applications (EN)
Computer Science, Software Engineering (EN)
Exponential increase (EN)
Parameters characterizing (EN)
In silico oncology (EN)
Grid-enabled simulations (EN)
Quality of service provisioning (EN)
Quality of service (EN)
parameter sweep simulations (EN)
Grid technologies (EN)
Oncology (EN)
Computational requirements (EN)
Multiscales (EN)
Experiments (EN)
Grid infrastructures (EN)
Virtual reality (EN)
Grid computing (EN)
Clinical trial (EN)
Simulation model (EN)
Medical applications (EN)
Execution time (EN)
End-user interfaces (EN)
Grid environments (EN)
Circuit simulation (EN)
Critical parameter (EN)
Biocomplexity (EN)
Radiotherapy (EN)
Glioblastoma multiforme (EN)
virtual clinical trial (EN)
Grid portals (EN)
grid portal (EN)
Simulation environment (EN)
Biological mechanisms (EN)
In-silico (EN)
Bio systems (EN)
Radiation oncology (EN)
Web portal (EN)
User interfaces (EN)
e-Science (EN)
Attractive solutions (EN)
Simulation (EN)
English
SAGE PUBLICATIONS LTD (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
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