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Wednesday, June 21 • 2:00pm - 3:15pm
#337: Big Data: Management and Analytics

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Component Type: Session
Level: Intermediate
CE: CME 1.25; IACET 1.25; RN 1.25

Includes predictive analytics, what do we do with it, cleaning it.

Learning Objectives

Identify how to use big data analytics to develop new insights from patient data.

Chair

David Olaleye

Speaker

Big Data Analytics to Historical Cancer Research Data: Project Data Sphere Oncology Data-Sharing Experiment
David Olaleye

Indication Expansion and Drug Positioning: Opportunities for Translational Sciences
Lun Yang, PhD

Project Data Sphere: Building a Data Sharing Platform and Research Community to Advance Cancer Treatment
Dave Handelsman



Moderators
avatar for David Olaleye

David Olaleye

Senior Manager and Principal Research Statistician, SAS Institute Inc., United States
David Olaleye is a Senior Manager/Principal Research Statistician at SAS Institute, Cary, NC. He received his postgraduate training in demography and statistics, and clinical epidemiology from the University of Pennsylvania School of Arts and Sciences, and School of Medicine, Philadelphia... Read More →

Speakers
avatar for Dave Handelsman

Dave Handelsman

Vice President of Development, Project Data Sphere, LLC
Dave is responsible for the overall success of Project Data Sphere's cancer research data sharing platform. This includes the acquisition of cancer clinical trial datasets for inclusion within the platform as well as oversight associated with marketing, communications, grant management... Read More →
avatar for Lun Yang

Lun Yang

Deputy Director, Indication Expansion, Bayer
Dr. Yang is a senior scientist and deputy director in the indication expansion team at Bayer. He is responsible for prioritizing and translating the best indications into clinical PoC studies in a data-driven way, involving scientific, regulatory and commercial considerations. With... Read More →


Wednesday June 21, 2017 2:00pm - 3:15pm CDT
N426a McCormick Place 2301 South Martin Luther King Jr. Drive, Gate 4 Chicago, IL 60616
  01: Data-BigData-eHealth, Session