Abstract
The advancement of omics technologies in concert with the enabling information technology development has accelerated biological research to a new realm in a blazing speed and sophistication. The limited single gene assay to the high throughput microarray assay and the laborious manual count of base-pairs to the robotic assisted machinery in genome sequencing are two examples to name. Yet even more sophisticated, the recent development in literature mining and artificial intelligence has allowed researchers to construct complex gene networks unraveling many formidable biological puzzles. To harness these emerging technologies to their full potential to medical applications, the Bio-intelligence program at the Institute for Information Technology, National Research Council Canada, aims to develop and exploit artificial intelligence and bioinformatics technologies to facilitate the development of intelligent decision support tools and systems to improve patient care - for early detection, accurate diagnosis/prognosis of disease, and better personalized therapeutic management.
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References
Phan, S., Famili, F., Tang, Z., Pan, Y., Liu, Z., Ouyang, J., Lenferink, A., McCourt-O’Connor, M.: A Novel Pattern Based Clustering Methodology for Time-Series Microarray Data. Int. Journal of Computer Mathematics 84(5), 585–597 (2007)
Famili, F., Phan, S., Liu, Z., Pan, Y., Djebbari, A., Lenferink, A., O’Connor, M.: Discovering Informative Genes from Gene Expression Data: A Multi-Strategy Approach. In: The 18th European Conference on Machine Learning, Warsaw, Poland (2007)
Halasz, M., Dubé, F., Orchard, R., Ferland, R.: The Integrated Diagnostic System (IDS): Remote Monitoring and Decision Support for Commercial Aircraft - Putting Theory into Practice. In: Proceedings of AAAI 1999 Spring Symposium on AI in Equipment Maintenance, Palo Alto, California, USA (1999)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Phan, S., Famili, F., Liu, Z., Peña-Castillo, L. (2009). Bio-Intelligence: A Research Program Facilitating the Development of New Paradigms for Tomorrow’s Patient Care. In: Ulieru, M., Palensky, P., Doursat, R. (eds) IT Revolutions. IT Revolutions 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03978-2_23
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DOI: https://doi.org/10.1007/978-3-642-03978-2_23
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