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International Visual Informatics Conference

IVIC 2017: Advances in Visual Informatics pp 88–99Cite as

Bridging the Gap in Personalised Medicine Through Data Driven Genomics

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10645))

Abstract

Personalised medicine has been visualised as the ultimate healthcare practise, as the treatment will be customised to the patient’s need. This will eliminate the “one-for-all” approach, thus reducing the potential drug’s side effects, ineffective drug doses and severe complications due to unsuitable drugs prescribed. As the cost for genomics sequencing started to plummet, this condition has driven extensive studies on many disease genomics, generating genomics big data. However, without an in-depth analysis and management of the data, it will be difficult to reveal and relate the link between the genomics with the diseases in order to accomplish personalised medicine. The main reason behind this is that genomics data has never been straightforward and is poorly understood. Therefore, this paper purposely discusses how the advances in technology have aid the understanding of genomics big data, thus a proposed framework is highlighted to help change the landscape of personalised medicine.

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Author information

Authors and Affiliations

  1. Institute of Visual Informatics, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia

    Ummul Hanan Mohamad, Mohamad Taha Ijab & Rabiah Abdul Kadir

Authors
  1. Ummul Hanan Mohamad
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  2. Mohamad Taha Ijab
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  3. Rabiah Abdul Kadir
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Corresponding author

Correspondence to Ummul Hanan Mohamad .

Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  4. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  5. Carlos III University of Madrid, Madrid, Spain

    Sergio Velastin

  6. Toyo University, Kawagoe, Japan

    Tada Terutoshi

  7. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Azizah Jaafar

  8. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

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© 2017 Springer International Publishing AG

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Mohamad, U.H., Ijab, M.T., Abdul Kadir, R. (2017). Bridging the Gap in Personalised Medicine Through Data Driven Genomics. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-70010-6_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70009-0

  • Online ISBN: 978-3-319-70010-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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