From Animal Models to NAMs: AI/ML-Driven Predictive Toxicology
Dr. Olivier Barberan presents how AI, machine learning, and new approach methodologies (NAMs) are transforming toxicology by replacing traditional animal testing with human-relevant, data-driven models that improve safety prediction, reduce costs, and support more ethical, efficient drug discovery.