Editors:
- Assesses methods and systems for acquisition, processing, and interpretation of patient data
- Provides necessary methodology and practical information tools
- Integrates research and clinical care, data sharing, and establishing partnerships within and across sectors of patient diagnosis and treatment
- Important clinical questions in cancer research benefit from expanding computational biology
- Includes supplementary material: sn.pub/extras
Part of the book series: Cancer Treatment and Research (CTAR, volume 137)
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Table of contents (9 chapters)
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Front Matter
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Part I
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Part IV
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Back Matter
About this book
Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.
Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.
Addressing important clinical questions in cancer research will benefit from expanding computational biology.
The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true "personalized medicine" where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear.
Editors and Affiliations
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Division of Signaling Biology, Ontario Cancer Institute, PMH/UHN Toronto Medical Discovery Tower, Toronto, Canada
Igor Jurisica
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Division of Thoracic Surgery, Mayo Clinic Cancer Center, Rochester, USA
Dennis A. Wigle
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Database Competitive Technologies, IBM Toronto Laboratory, Markham, Canada
Bill Wong
About the editors
Igor Jurisica, PhD
Dr. Jurisica is a Canada Research Chair in Integrative Computational Biology, a Scientist at the Ontario Cancer Institute, University Health Network since 2000, Associate Professor in the Departments of Computer Science and Medical Biophysics, University of Toronto, Adjunct Professor at School of Computing Science, Queen's University, and a Visiting Scientist at the IBM Centre for Advanced Studies. He earned his Dipl. Ing. degree in Computer Science and Engineering from the Slovak Technical University in 1991, M.Sc. and Ph.D. in Computer Science from the University of Toronto in 1993 and 1998 respectively. Dr. Jurisica's research focuses on computational biology, and representation, analysis and visualization of high dimensional data generated by high-throughput biology experiments. Of particular interest is the use of comparative analysis for the mining of integrated datasets such as protein—protein interaction, gene expression profiling, and high-throughput screens for protein crystallization.
Dennis A. Wigle, MD, PhD
Since August 2006, Dennis Wigle has been a clinician-scientist at the Mayo Clinic Cancer Center in Rochester Minnesota. He is a practicing thoracic surgeon with an interest in thoracic oncology. His laboratory investigates the genetic basis and molecular sequence of events underlying thoracic malignancies. He holds an MD from the University of Toronto and a PhD from the Department of Anatomy and Cell Biology at Queen's University in Kingston, Canada. His interests include the application of novel computational methods to the analysis of high-throughput data in cancer biology.
Bill Wong, BSc, MBA
Bill Wong has an extensive background is software deployment technologies and has been working with a variety of database technologies. Some of his previous roles included being the Information Management product manager for Life Sciences, Linux, and Grid solutions. His current roleis Program Director for Advanced Database Competitive Technologies at IBM. He works out of the Toronto Lab and can often be found speaking at conferences on information management future trends and directions.
Bibliographic Information
Book Title: Cancer Informatics in the Post Genomic Era
Book Subtitle: Toward Information-Based Medicine
Editors: Igor Jurisica, Dennis A. Wigle, Bill Wong
Series Title: Cancer Treatment and Research
DOI: https://doi.org/10.1007/978-0-387-69321-7
Publisher: Springer New York, NY
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-69320-0Published: 16 July 2007
Softcover ISBN: 978-1-4419-4344-6Published: 29 November 2010
eBook ISBN: 978-0-387-69321-7Published: 04 May 2007
Series ISSN: 0927-3042
Series E-ISSN: 2509-8497
Edition Number: 1
Number of Pages: XX, 180
Number of Illustrations: 10 b/w illustrations, 20 illustrations in colour
Topics: Oncology, Cancer Research, Human Genetics, Health Informatics