Machine Learning in Toxicology: Fundamentals of Application and Interpretation, Regulatory Application, Acceptance, and Implementation
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Owner/Developer: Interagency coordination committee on the validation of alternative methods and National Toxicology Program (ICCVAM)
United States of America
23 January 2018
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.
Optional / Voluntary
Students, Researchers, Regulators and policy-makers, Teachers and educators, Technicians, Managers, Scientific officers / Project managers, Professionals (e.g. veterinarians)
Academia, Industry, Governmental bodies, Contract Research Organizations (CROs), Consulting
Continuing Professional Development
Legislative aspects, Computational methods
Full coverage (a dedicated course)
|Details on the topic or technology covered:||
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