Title
Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models
Abstract
Significant Virtual Physiological Human efforts and projects have been concerned with cancer modeling, especially in the European Commission Seventh Framework research program, with the ambitious goal to approach personalized cancer simulation based on patient-specific data and thereby optimize therapy decisions in the clinical setting. However, building realistic in silico predictive models targeting the clinical practice requires interactive, synergetic approaches to integrate the currently fragmented efforts emanating from the systems biology and computational oncology communities all around the globe. To further this goal, we propose an intelligent graphical workflow planning system that exploits the multiscale and modular nature of cancer and allows building complex cancer models by intuitively linking/interchanging highly specialized models. The system adopts and extends current standardization efforts, key tools, and infrastructure in view of building a pool of reliable and reproducible models capable of improving current therapies and demonstrating the potential for clinical translation of these technologies.
Year
DOI
Venue
2014
10.1109/JBHI.2013.2297167
Biomedical and Health Informatics, IEEE Journal of  
Keywords
Field
DocType
Web services,cancer,patient treatment,European Commission Seventh Framework research program,Virtual Physiological Human,Web based workflow planning platform,complex multiscale cancer models,computational oncology,intelligent graphical workflow planning system,patient specific data,systems biology,therapy decision,Cancer systems biology,clinical translation,computational oncology,personalized medicine,scientific workflows
Information system,Computer science,Virtual Physiological Human,Knowledge management,Artificial intelligence,Web application,Workflow,Standardization,Computer vision,Software engineering,Systems biology,Modular design,Web service
Journal
Volume
Issue
ISSN
18
3
2168-2194
Citations 
PageRank 
References 
4
0.51
11
Authors
4
Name
Order
Citations
PageRank
Vangelis Sakkalis111023.68
Stelios Sfakianakis210515.20
Tzamali, E.340.51
Marias, K.440.51