Health and life sciences get a healthy dose of big data

September 19, 2012
10:00am — 11:00am PDT
Featured Panelists
Piyanka Jain President and CEO, Aryng.com
Dr. Murali Ramanathan Director of Graduate Studies, Professor, SUNY Buffalo
Sri Srinivasan VP & GM Public Sector Big Data Platform, Information Management, IBM
Moderated by

Researchers are using big data analytics to help improve the quality of life of multiple sclerosis patients.

To improve healthcare, researchers are using big data analytics to bring advances to the medical field. For example, at the State University of New York (SUNY) in Buffalo researchers are using data from patients with multiple sclerosis to analyse the effectiveness of current drugs and treatments alongside the individual’s personal health records and the progression of the disease. In doing so they hope to identify which elements of existing treatment prove successful, on whom, when and why. Experts believe that this kind of linking of intelligence and holistic approach to healthcare will speed up our understanding of diseases and potentially our ability to cure them.

In this webinar we will discuss what the SUNY Buffalo researchers are doing with big data and it’s impact on their multiple sclerosis research as well as how advances in big data analytics are changing the healthcare sector in general.

Join GigaOM Pro and our sponsor IBM Netezza for “Health and life sciences get a healthy dose of big data” a free analyst roundtable webinar on Wednesday September 19, 2012 at 12 p.m., PST.

What Will Be Discussed

  • Multiple sclerosis research, big data analytics and the drive to slow down the progress of the disease
  • Can we really unify all the siloed, fragmented healthcare data out there?
  • Examples of linking intelligence together for better healthcare
  • What will it take to provide real time data in clinical decision support?
  • Overcoming the challenges of data privacy and disclosure

Who Should Attend

  • Healthcare executives and practitioners
  • VPs and senior functional management (sales, marketing, finance, engineering, HR)
  • CIOs, CTOs, IT decision makers
  • Data scientists, data analysts, database managers
  • Business strategists
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