uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models
Show others and affiliations
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
Identifiers
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

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

McKeever, Steve

Search in DiVA

By author/editor
McKeever, Steve
By organisation
Department of Informatics and Media
Computer ScienceInformation Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 437 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf