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International Workshop on "Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies"

Research Article

Bridging Social Media Technologies and Scientific Research: A Twitter-Enabled Platform for VPH Modeling

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  • @INPROCEEDINGS{10.1007/978-3-642-37893-5_42,
        author={Vangelis Sakkalis and Stelios Sfakianakis and Kostas Marias},
        title={Bridging Social Media Technologies and Scientific Research: A Twitter-Enabled Platform for VPH Modeling},
        proceedings={International Workshop on "Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies"},
        proceedings_a={APHS},
        year={2013},
        month={4},
        keywords={Social Networks inSilico Oncology Scientific Workflows},
        doi={10.1007/978-3-642-37893-5_42}
    }
    
  • Vangelis Sakkalis
    Stelios Sfakianakis
    Kostas Marias
    Year: 2013
    Bridging Social Media Technologies and Scientific Research: A Twitter-Enabled Platform for VPH Modeling
    APHS
    Springer
    DOI: 10.1007/978-3-642-37893-5_42
Vangelis Sakkalis1,*, Stelios Sfakianakis1,*, Kostas Marias1,*
  • 1: FORTH
*Contact email: sakkalis@ics.forth.gr, ssfak@ics.forth.gr, kmarias@ics.forth.gr

Abstract

Social media and the Web2.0 technologies are ubiquitous and due to the advances in mobile communication protocols, operating systems, and internet standards they are now supported even in cell phones and tablets. We are not yet at the point where a cell phone can be used as a medical device but such small and omnipresent instruments can be used in a way that promotes research in the clinical and biomedical domain. In this paper we describe a collaborative platform for designing composite simulations for the Virtual Physiological Human (VPH) community needs. We investigate the use of pervasive mobile technologies so that scientists and researchers can easily design, share, and execute simulations. The proposed platform supports real time notification and sharing of the results, and share the results and related artifacts with their work group and colleagues.

Keywords
Social Networks inSilico Oncology Scientific Workflows
Published
2013-04-04
http://dx.doi.org/10.1007/978-3-642-37893-5_42
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