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AI and Big Data for Safety Testing

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Manage episode 277761341 series 2311050
Content provided by ACT ToxChats. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACT ToxChats or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Dr. Thomas Hartung, is a professor at Johns Hopkins University and Director of the Center for Alternatives to Animal Testing. Dr. Hartung discusses some of his innovative contributions to the field of toxicology including developing advanced computer modeling systems using big data analyzed by artificial intelligence used to predict toxicity of novel compounds. Dr. Hartung gives a general overview of these concepts, and his perspective on the future of predictive modeling to supplement current toxicology research strategies. Dr. Hartung also discusses the potential for predictive modeling to expedite drug development decisions and challenges faced with introducing these technologies to regulated industries.
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43 episodes

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AI and Big Data for Safety Testing

ToxChats©

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Manage episode 277761341 series 2311050
Content provided by ACT ToxChats. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACT ToxChats or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Dr. Thomas Hartung, is a professor at Johns Hopkins University and Director of the Center for Alternatives to Animal Testing. Dr. Hartung discusses some of his innovative contributions to the field of toxicology including developing advanced computer modeling systems using big data analyzed by artificial intelligence used to predict toxicity of novel compounds. Dr. Hartung gives a general overview of these concepts, and his perspective on the future of predictive modeling to supplement current toxicology research strategies. Dr. Hartung also discusses the potential for predictive modeling to expedite drug development decisions and challenges faced with introducing these technologies to regulated industries.
  continue reading

43 episodes

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