CE 2: From Predictive Models to Collaborative Intelligence: The Role of Agentic AI in the Future of Toxicology

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This Continuing Education (CE) further expands the training course on AI presented in 2025 with a focus on Agentic AI and will introduce toxicologists and safety scientists to the emerging field of Agentic Artificial Intelligence (AI) not covered in the 2025 ACT CE course, and its transformative potential in predictive, translational, and clinical toxicology. Participants will learn how Agentic AI differs from traditional AI and computational models by offering autonomous reasoning, active learning, multimodal data integration, and human-interpretable decision-making. Attendees will gain practical insights into integrating Agentic AI into workflows, understanding its limitations, and collaborating effectively with computational teams. By the end of the session, participants will be able to evaluate Agentic AI tools, interpret case studies, and apply these insights to improve predictive toxicology and risk assessment outcomes.

CE Course Chair: Deidre A. Dalmas, MS, PhD, FRSB – Boehringer Ingelheim
CE Course Chair: Srijit Seal, PhD – Human Chemical Company
CE Course Speaker: Abhijat Vatsyayan – Taiho Oncology Inc.
CE Course Speaker: Jessica Mustali, PhD – Coincidence Labs
CE Course Speaker: Mattson Thieme, PhD – Human Chemical Company
CE Course Speaker: Layla Hosseini-Gerami, PhD – Ignota Labs
CE Course Speaker: Andrea Dimitracopoulos, PhD – deepmirror

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