Name:In Silico Oncology
Description:Development and customization of an in silico (computational) oncology application in Grid environment
Abstract:The in silico oncology application concerns four-dimensional simulation models of tumour growth and tumour and -to a lesser extent- normal tissue response to radiotherapeutic or chemotherapeutic schemes. The goals are a better understanding of cancer disease and a patient-specific optimization of radiotherapy/chemotherapy by means of in silico (computer) experimentation, based on imaging, histopathologic and genetic data.
The basic algorithms describing tumour growth and tumour and normal tissue response to radiotherapy/ chemotherapy, which constitute the basis of the application, have been developed by In Silico Oncology Group, National Technical University of Athens. These algorithms are the subject of continuous study and refinement. Part of the In Silico simulation code has been successfully ported to the Grid infrastructure and additional simulation codes are being ported. Specifically, the radiotherapy code has been completely ported to the Grid environment and several parametric simulations have been successfully conducted using the resources provided by the Grid. At present, the simulation code for chemotherapy is being ported to the Grid environment. However, further analysis and testing are required in order to ensure that all the algorithms could be ported to Grid and finally create convenient and efficient execution scripts for the production state of the application. A GUI portal has been implemented as an intermediate server between the gLite Grid environment and the end user.