Bridging the gap in personalised medicine through data driven genomics

Ummul Hanan Mohamad, Mohamad Taha Ijab, Abdul Kadir Rabiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings
PublisherSpringer Verlag
Pages88-99
Number of pages12
Volume10645 LNCS
ISBN (Print)9783319700090
DOIs
Publication statusPublished - 1 Jan 2017
Event5th International Visual Informatics Conference, IVIC 2017 - Bangi, Malaysia
Duration: 28 Nov 201730 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10645 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Visual Informatics Conference, IVIC 2017
CountryMalaysia
CityBangi
Period28/11/1730/11/17

Fingerprint

Data-driven
Medicine
Genomics
Drugs
Complications
Healthcare
Sequencing
Dose
Eliminate
Costs

Keywords

  • Big data
  • Data driven genomics
  • Personalised medicine

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Mohamad, U. H., Ijab, M. T., & Rabiah, A. K. (2017). Bridging the gap in personalised medicine through data driven genomics. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings (Vol. 10645 LNCS, pp. 88-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70010-6_9

Bridging the gap in personalised medicine through data driven genomics. / Mohamad, Ummul Hanan; Ijab, Mohamad Taha; Rabiah, Abdul Kadir.

Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. p. 88-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohamad, UH, Ijab, MT & Rabiah, AK 2017, Bridging the gap in personalised medicine through data driven genomics. in Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. vol. 10645 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10645 LNCS, Springer Verlag, pp. 88-99, 5th International Visual Informatics Conference, IVIC 2017, Bangi, Malaysia, 28/11/17. https://doi.org/10.1007/978-3-319-70010-6_9
Mohamad UH, Ijab MT, Rabiah AK. Bridging the gap in personalised medicine through data driven genomics. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS. Springer Verlag. 2017. p. 88-99. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70010-6_9
Mohamad, Ummul Hanan ; Ijab, Mohamad Taha ; Rabiah, Abdul Kadir. / Bridging the gap in personalised medicine through data driven genomics. Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. pp. 88-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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