Hosted by: The SOT Drug Discovery and Computational Toxicology Specialty Sections—Feb. 8, 2024
Toxicological research is undergoing a transformative shift with the incorporation of advanced computational models. Among these, Generative Adversarial Networks (GANs) are emerging as a pivotal tool in addressing challenges associated with data scarcity, predictability, and the nuanced complexity of toxic responses. This webinar delves into the integration of GANs into toxicology, from their foundational principles to applications in drug discovery. Attendees will gain insights into the capabilities and potential of GANs, fostering a better understanding of their role in modern toxicological studies. This webinar will cater to both novices and experts in the intersection of toxicology and generative artificial intelligence.
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