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 

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).

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.

 

 

 
ECOG-ACRIN Cancer Research Group