Improving Cancer Risk Prediction for Prevention and Early Detection

​November 16-19, 2016
Rosen Plaza Hotel
Orlando, Florida

Conference Cochairs
Graham A. Colditz, Washington University, Saint Louis, Missouri
Susan M. Gapstur, American Cancer Society, Atlanta, Georgia
Kenneth R. Muir, University of Manchester, Manchester, United Kingdom
Mark E. Sherman, Mayo Clinic, Jacksonville, Florida

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  • Watch this message from conference co-chairpersons Graham A. Colditz, Susan M. Gapstur, and Mark E. Sherman:


Cancer is the second leading cause of death in high-income nations and the leading cause among adults aged 65 years and older. In low-income nations, cancer is exacting a rising toll. Estimates suggest that a substantial percentage of the 1.6 million cancers diagnosed annually in the United States are preventable through lifestyle interventions, screening, and other preventive measures. To reduce the cancer burden through implementation of effective screening and prevention strategies, clinicians and patients need reliable tools to assess risk of developing and dying from cancer in order to target those who will benefit most from specific strategies.

This conference will convene internationally recognized translational and population scientists from the fields of genomics, statistics, epidemiology, bioinformatics, and behavior to present the latest advances in the development, validation, and implementation of cancer risk prediction models. Plenary sessions will address cross-cutting principles and considerations with broad application, as well as cover approaches to predict the environmental and genetic risks of specific types of tumors.

Continuing Medical Education Activity AMA PRA Category 1 CreditsTM available