Comis Symposium – Fall 2019
Inaugural Robert L. Comis, MD Translational Science Symposium
Big Data and Artificial Intelligence in ECOG-ACRIN: Directions for Cancer Research
October 24, 2019
Fort Lauderdale, FL
A highlight of the ECOG-ACRIN Group Meeting
This symposium is named for the ECOG-ACRIN Cancer Research Group’s late Group Co-Chair Robert L. Comis, MD (pictured at left). The potential of translational science to advance cancer diagnosis, prevention, and treatment was a guiding passion for Dr. Comis, and the symposium honors him in this way. Learn more about Dr. Comis here.
This program addresses a topic that resonates throughout our activities in ECOG-ACRIN: the promise and the pitfalls of artificial intelligence (AI) and big data. Accessing clinical data to assess efficacy and impact is, of course, a challenge of our information-rich age. Several symposium speakers engaged with this issue: How do we extract meaningful data from the medical record for these purposes. Additional speakers presented data-rich sources of information and their use.
Scroll over and click on a title to watch the video (for speakers who granted permission).
AGENDA
INTRODUCTION AND WELCOME
Peter O’Dwyer, MD
ECOG-ACRIN Group Co-Chair, University of Pennsylvania
REMEMBERING DR. COMIS: A FEW WORDS FROM A COLLEAGUE AND FRIEND (video)
Warren Kibbe, PhD
Duke Cancer Institute
BIG DATA AND ARTIFICIAL INTELLIGENCE – THE FIELD
AI in Health Care Research–Implementation and Opportunity
Tommaso Mansi, PhD
Siemens Medical Solutions USA, Inc.
Rethinking Risk Models with AI
Regina Barzilay, PhD
Massachusetts Institute of Technology
Learning to Predict Cancer Risk (video)
Adam Yala, PhD Candidate
Massachusetts Institute of Technology
UK Biobank: A Visionary Resource for Cancer Research in the 21st Century (video)
Naomi Allen, BSc, MSc, DPhil
UK Biobank / University of Oxford
THE TOOLBOX
The Data, Informatics, and How These Relate to Medicine
Lawrence Shulman, MD
University of Pennsylvania
Studying Drug Resistance in Cancer (video)
Gad Getz, PhD
Massachusetts Institute of Technology
AI in Pathology Diagnosis (video)
Stanley Hamilton, MD
The University of Texas MD Anderson Cancer Center
Pathology Big Data–Pathomics/Radiomics (video)
Joel Saltz, MD, PhD
Stony Brook University
ECOG-ACRIN AREAS OF FOCUS
Practical Applications of Genome–Immune Environment Nexus (video)
Keith Flaherty, MD
Harvard Medical School / Massachusetts General Hospital Cancer Center
Generating Evidence from the Real World (video)
Neal Meropol, MD
Flatiron Health
Image-Based Phenotyping–National Lung Screening Trial As Example (video)
Matthew Schabath, PhD
Moffit Cancer Center
Leveraging Multiple Data Sources to Enhance Clinical Cancer Research (video)
Mitchell Schnall, MD, PhD
ECOG-ACRIN Group Co-Chair, University of Pennsylvania
Download the printed program to read speaker bios.
