Scientific Director, Digital Pathology Charles River Laboratories, France
This session will explore state-of-the-art AI methodologies used in toxicology, with an emphasis on supervised and unsupervised machine learning models and deep learning approaches, including neural networks. Participants will gain insights into how these techniques are applied to generate virtual control data and predict toxicological endpoints such as organ toxicity (including carcinogenicity). The session will provide concrete examples of these applications, offering participants a practical perspective on the capabilities of AI in enhancing toxicological assessments.
