Toxicity data collection and interpretation face several challenges, including ethical concerns related to animal testing, variability in human responses, and the complexity of mixtures. Advances in alternative testing methods, such as computational modeling and high-throughput screening, aim to address these challenges by reducing reliance on animal studies and improving prediction accuracy.
