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Track 11 - April 21 – 23, 2015

Cancer Informatics 

Applying Computational Biology to Cancer Research & Care

Track 11 explores the important technology and informatics trends and challenges of applying computational biology to cancer research and care. Themes that will be covered in expert-led presentations include collaborations, network models, data access/management/integration strategies, and applications of biological interpretation to aid in research at the bench side or care at the bedside.

Preliminary Agenda

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The CureAccelerator™: The Online Platform for Creating Innovative Repurposed Solutions to the World’s Unsolved Diseases

Bruce Bloom, DSS, J.D., President and CSO, Cures Within Reach

Delivering On a Promise: Achieving a Patient-Centric Open Information Ecosystem

Walter Capone, President and CEO, The Multiple Myeloma Research Foundation

PANEL DISCUSSION: Multiple Sclerosis Conquered by the Data Science Revolution: Patients Win

Robert McBurney, CEO, Accelerated Cure Project

Marcia Kean, Chairman, Strategic Initiatives, Feinstein Kean Healthcare

Ken Buetow, Ph.D., Director, Computational Sciences and Informatics,
Arizona State University

Structure-Based Algorithms to Predict Drug-Mediated Toxicity

Khaled Barakat, Ph.D., Assistant Professor, Katz Group-Rexall Centre for Pharmacy & Health Research, University of Alberta

Extending Galaxy with External Microbiome Databases

Bob Brown, Ph.D., Affiliate Professor, Environmental Science,
George Mason University

Role of Data and Digital Tools in Autoimmune Disorders

Bonnie Feldman, DDS, Digital Health Analyst, DrBonnie360

Examining the Health Effects of Multiple Environmental Exposures on Subpopulations Using a Big Data Platform

Chirag Patel, Ph.D., Research Associate, Center for Biomedical Informatics,
Harvard Medical School/Pivotal, Inc.

The Penetrance of Incidental Findings in Genomic Medicine

Robert C. Green, M.D., MPH, Director, G2P Research Program; Associate Director, Research, Partners Personalized Medicine, Division of Genetics, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School



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  • Making the World's Knowledge Computable
  • Bioinformatics in the Cloud
  • The Application of Text Analytics to Drug Safety Surveillance
 

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