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ICCVAM Communities of Practice Webinar 2018

Machine Learning in Toxicology:
Fundamentals of Application and Interpretation

January 23, 2018

Machine Learning in Toxicology: Fundamentals of Application and Interpretation
Sean Ekins, Ph.D., D.Sc., Collaborations Pharmaceuticals, Inc.

Machine Learning Models: Regulatory Application, Acceptance, and Implementation 
Nicole Kleinstreuer, Ph.D., National Institute of Environmental Health Sciences

ICCVAM promotes the development and validation of toxicity testing methods that protect human health and the environment while replacing, reducing, or refining animal use. ICCVAM also provides guidance to test method developers and facilitates collaborations that promote the development of new test methods. To address these goals, ICCVAM held a Communities of Practice webinar on “Machine Learning in Toxicology: Fundamentals of Application and Interpretation.”

This webinar explored the fundamentals of machine learning approaches, including how they work, how they are interpreted, and precautions that should be taken when evaluating their output. Sean Ekins, Chief Executive Officer of Collaborations Pharmaceuticals, Inc., and NICEATM Deputy Director Nicole Kleinstreuer addressed issues specific to machine learning approaches used in a regulatory context. Case studies were presented to highlight where such techniques have been successfully applied both nationally and internationally.

View Federal Register notice announcing the webinar (January 8, 2018) – View notice as webpage

Related resource:
Ekins S, ed. 2018. Computational Toxicology: Risk Assessment for Chemicals. John Wiley & Sons, Inc.