ISMRM 23rd Annual Meeting & Exhibition 30 May - 05 June 2015 Toronto, Ontario, Canada

Educational Course

Genomics, Proteomics, & Big Data

SKILL LEVEL: Intermediate

ORGANIZERS: Jonathan H. Gillard, M.D., FRCR, MBA & Howard A Rowley, M.D.

Tuesday 2 June 2015

Overview
There is widespread acceptance that there is a wealth of data available in healthcare including genomics and proteomics. The problem is how to identify structure from these big datasets. This session will outline the complexities presented and the approaches to categorising and quantifying such datasets.

Target Audience
Clinicians and physicists who are use to dealing with more conventional MR datasets but need or desire to improve their skills at manipulating and interpreting "Big Data".

Educational Objectives
As a result of attending this course, participants should be able to:
Recognize the the potential clinical and scientific benefits of understanding big datasets;
Demonstrate clinical examples where big data analysis provides new insights; and
Identify specific examples and approaches to addressing big MR data.

PROGRAM
Moderators: Benjamin M. Ellingson, Ph.D., James C. Gee, Ph.D.
13:30     Managing Big Data from MRI: the Neuroradiologist's Perspective
Christopher T. Whitlow, M.D., Ph.D.
14:00 Managing Big Data for Genomics & Proteomics - permission withheld
Rivka R. Colen, M.D.
14:30 Managing Big Data from MRI: the Physicist's Perspective
Hae-Jeong Park, Ph.D.
15:00     Managing Big Data: Getting Better Insight
Christopher T. Whitlow, M.D., Ph.D.
15:30 Adjournment & Meet the Teachers