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Addressing the Big Data Challenge in Translational Medicine
  Addressing the Big Data Challenge in Translational Medicine


Join our live Webcast on Wednesday, November 14, 2012 to learn how leading biopharmaceutical, academic medical centers and cancer research centers are addressing the big data challenge in translational medicine by leveraging new data platforms to integrate omics data with high quality clinical data. This integration provides researchers and physicians an integrated view across genotype and phenotype – ultimately reducing costs and increasing the effectiveness and quality of patient care. Discussion will be followed by a demonstration of Oracle Health Sciences Translational Research Center.

Oracle’s thought leaders in the field of translational research will share how Oracle Health Sciences solutions help you by:

  • Enabling researchers and physicians to gain the insight needed to identify patient populations with similar characteristics and advance personalized cancer treatments
  • Speed time to market by providing access to large sets of normalized, integrated data to find predictive biomarkers in finely targeted cohorts
  • Improve hypotheses and decision making with appropriate access to high-quality clinical data with role-defined detail

Don’t miss this opportunity to learn how Oracle Health Sciences is addressing big data challenges in translational research.

Register Now.


Join our Live Webcast:
"Addressing the Big Data Challenge in Translational Medicine"

REGISTER NOW
Date:
Wednesday, November 14, 2012

Time:
10 a.m. PT / 1 p.m. ET

Speakers:
  • Jonathan Sheldon, PhD, Senior Director of Translational Medicine, Oracle Health Sciences
  • Ketan Patel, PhD, Health Sciences Solutions Architect, Oracle Health Sciences
Who should attend?
Directors, VPs and Managers at biopharmaceutical companies, healthcare organizations, and academic medical centers and cancer research centers with responsibility for:
  • Translational Research
  • Bioinformatics
  • Personalized Medicine
  • Genomics Research
  • Clinical Analytics
  • IT


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