The role of computational modeling in safety assessment has shifted from a "nice-to-have" to an essential component of the regulatory dossier. This seminar, hosted at the University of Leeds, explores the cutting-edge developments in (Q)SAR modeling and expert knowledge systems. As the industry moves toward New Approach Methodologies (NAMs), Lhasa Limited remains at the forefront of providing validated, transparent, and reproducible tools. This event is a call to action for the next generation of toxicologists and established professionals to embrace the digital transformation of safety science.
The seminar will feature presentations from Lhasa’s senior scientists on the integration of Artificial Intelligence and Machine Learning in toxicity prediction. We will discuss the "Black Box" problem and how Lhasa ensures transparency in Sarah Nexus through its unique hierarchical network model. Participants will learn how in silico methods are being used to support "read-across" arguments, reducing the reliance on traditional animal models for endpoints like skin sensitization and genotoxicity. In addition to the technical talks, a dedicated career session will be held for students and early-career researchers, highlighting the growing demand for "Digital Toxicologists" in the global job market. This event is free to attend, reflecting Lhasa’s commitment as an educational charity to support the wider scientific community and promote the 3Rs (Replacement, Reduction, and Refinement of animal testing).
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