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by Igor Jurisica,Dennis A. Wigle,Bill Wong
Download Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine (Cancer Treatment and Research) fb2
Medicine
  • Author:
    Igor Jurisica,Dennis A. Wigle,Bill Wong
  • ISBN:
    0387693203
  • ISBN13:
    978-0387693200
  • Genre:
  • Publisher:
    Springer; 2007 edition (July 16, 2007)
  • Pages:
    180 pages
  • Subcategory:
    Medicine
  • Language:
  • FB2 format
    1789 kb
  • ePUB format
    1760 kb
  • DJVU format
    1526 kb
  • Rating:
    4.8
  • Votes:
    274
  • Formats:
    mbr lrf doc azw


Cancer Informatics in Post-Genomic Era provides both the necessary . Understanding these data is a vital step to improve patient treatments and to create the most adequate tools for personalized medicine.

Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools. However, the growing number of disease-specific patient registries brings also new technical challenges.

Toward Information-Based Medicine Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical .

Toward Information-Based Medicine. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools. 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.

Автор: Igor Jurisica; Dennis A. Wigle; Bill Wong Название: Cancer . Wigle; Bill Wong Название: Cancer Informatics in the Post Genomic Era ISBN: 1441943447 ISBN-13(EAN): 9781441943446 Издательство: Springer Рейтинг . This book describes the use of gene profiling techniques to distinguish specific features of individual carcinomas, as well as novel therapeutic approaches to treatment. Breast Cancer in the Post Genomic-Era succeeds in looking at breast cancer pathogenesis, diagnosis, and treatment under a more comprehensive light, and is a valuable resource for any Radiation or Surgical Oncologist, Cancer Biologist or Pathologist.

Download (pdf, . 1 Mb) Donate Read. Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery.

information-based medicine. Toward information-based medicine. Press proceed to send the authors a message. 4. genomic era. post genomic. cancer informatics. 1. information-based. To: Igor Jurisica, Dennis A Wigle, Bill Wong, Ming Tsao, Jiang Liu, Michael Johnston, Thomas Kislinger. Please enter a personalized message to the authors. More detailed explanations for your need are more likely to get a response. The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine.

Cancer Informatics in Post-Genomic Era presents either the mandatory method and sensible details instruments. Cancer informatics has develop into a serious element of sleek investigations. this article offers a entire evaluate of the sphere provided via leaders within the discipline.

Springer-Verlag, Golstein Douglas, Groen Peter J, Ponkshe Suniti, and Wine Marc. Medical Informatics 20/20: Quality and Electronic Health Records Through Collaboration, Open Solutions and Innovation.

Author: Bill Wong, Dennis A. Wigle, Igor Jurisica. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools for analyzing data in the field of medical information science. This, of course, requires analytic tools. Those tools are garnered 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 for analyzing data in the field of medical information science. This, of course, requires analytic tools. Those tools are garnered by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Key challenges in this field include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.