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Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models
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2014 (English)In: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, ISSN 2168-2194, Vol. 18, no 3, 824-831 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. Vol. 18, no 3, 824-831 p.
Keyword [en]
Cancer systems biology, clinical translation, computational oncology, personalized medicine, scientific workflows
National Category
Computer Science Information Systems
URN: urn:nbn:se:uu:diva-227269DOI: 10.1109/JBHI.2013.2297167ISI: 000336050400014OAI: oai:DiVA.org:uu-227269DiVA: diva2:731702
Available from: 2014-07-02 Created: 2014-06-24 Last updated: 2014-07-02Bibliographically approved

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McKeever, Steve
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Department of Informatics and Media
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