Welcome to the NURA course Artificial Intelligence (AI) Use for Regulatory Application: Using machine learning to reduce animal use in toxicology.

Large language models have captivated our attention, shifted perspectives, and brought the previously unattainable within reach. Explore the future of ethical, effective regulatory science with our virtual training on advancing toxicology through artificial intelligence and machine learning.

In this webinar, you will hear directly from experts on how they use machine learning to reveal molecular mechanisms, simulate testing, estimate toxicity values, and harness available information. Our panel will help you consider how AI is transforming your own life and work along with ways to maximize these powerful tools. As technology races ahead, the possibilities seem limitless, and our training aims to keep you at the forefront. (The above text was written with Chat GPT assistance).

Speakers:
Eryn Slankster-Schmierer, PhD, Physicians Committee for Responsible Medicine, Moderator
Joseph Manuppello, MS, Physicians Committee for Responsible Medicine
Thomas Hartung, MD, PhD, John Hopkins Bloomberg School of Public Health, CAAT
Weida Tong, PhD, NCTR, FDA
Joshua Xu, PhD, NCTR, FDA
Joe Bundy, PhD, Center for Computational Toxicology and Exposure at the U.S. EPA
David Reif, PhD, Division of Translational Toxicology, NIEHS.