Skip to main content

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

  • Conference paper
Wireless Mobile Communication and Healthcare (MobiHealth 2012)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Clapworthy, G., Kohl, P., Gregerson, H., Thomas, S., et al.: Digital human modelling: a global vision and a european perspective. Digital Human Modeling, 549–558 (2007)

    Google Scholar 

  2. Marias, K., Dionysiou, D., Sakkalis, V., Graf, N., et al.: Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm. Interface Focus 1, 450–461 (2011)

    Article  Google Scholar 

  3. Hughes, B., Joshi, I., Wareham, J.: Health 2.0 and medicine 2.0: tensions and controversies in the field. Journal of Medical Internet Research 10 (2008)

    Google Scholar 

  4. Basdekis, I., Sakkalis, V., Stephanidis, C.: Towards an accessible personal health record. In: Nikita, K.S., Lin, J.C., Fotiadis, D.I., Arredondo Waldmeyer, M.-T. (eds.) MobiHealth 2011. LNICST, vol. 83, pp. 61–68. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  5. Brownstein, C., Brownstein, J., Williams, D., Wicks, P., Heywood, J.: The power of social networking in medicine. Nature Biotechnology 27, 888–890 (2009)

    Article  Google Scholar 

  6. Roniotis, A., Marias, K., Sakkalis, V., Manikis, G.C., Zervakis, M.: Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases. Journal of Biomedicine and Biotechnology 2012, 9 (2012)

    Google Scholar 

  7. Sakkalis, V., Sfakianakis, S., Marias, K., Stamatakos, G., et al.: The TUMOR Project: Integrating cancer model repositories for supporting predictive oncology. In: 2nd Virtual Physiological Human Conference, VPH 2012 (2012)

    Google Scholar 

  8. OReilly, T.: What is web 2.0: Design patterns and business models for the next generation of software. Communications & strategies, 17 (2007)

    Google Scholar 

  9. Mandavilli, A.: Peer review: Trial by twitter. Nature 469, 286–287 (2011)

    Article  Google Scholar 

  10. Java, A., Song, X., Finin, T., Tseng, B.: Why we twitter: understanding microblogging usage and communities. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, pp. 56–65. ACM (2007)

    Google Scholar 

  11. Barker, A., van Hemert, J.: Scientific Workflow: A Survey and Research Directions. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds.) PPAM 2007. LNCS, vol. 4967, pp. 746–753. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  12. Curcin, V., Ghanem, M.: Scientific workflow systems-can one size fit all? In: Cairo International Biomedical Engineering Conference, pp. 1–9. IEEE (2008)

    Google Scholar 

  13. Sfakianakis, S., Sakkalis, V., Marias, K., Stamatakos, G., McKeever, S., Deisboeck, T., Graf, N.: An architecture for integrating cancer model repositories. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 6828–6831. IEEE (2012)

    Google Scholar 

  14. Southern, J., Pitt-Francis, J., Whiteley, J., Stokeley, D., Kobashi, H., Nobes, R., Kadooka, Y., Gavaghan, D., et al.: Multi-scale computational modelling in biology and physiology. Progress in Biophysics and Molecular Biology 96, 60 (2008)

    Google Scholar 

  15. Leiba, B.: Oauth web authorization protocol. IEEE Internet Computing 16, 74–77 (2012)

    Article  Google Scholar 

  16. Lakiotaki, K., Delias, P., Sakkalis, V., Matsatsinis, N.: User profiling based on multi-criteria analysis: the role of utility functions. Operational Research 9, 3–16 (2009)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Sakkalis, V., Sfakianakis, S., Marias, K. (2013). Bridging Social Media Technologies and Scientific Research: A Twitter-Enabled Platform for VPH Modeling. In: Godara, B., Nikita, K.S. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37893-5_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37893-5_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37892-8

  • Online ISBN: 978-3-642-37893-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics