How Have Computational Models Improved Risk Assessment?
Advancements in computational models have significantly improved the accuracy and efficiency of risk assessment in toxicology. These models, including Quantitative Structure-Activity Relationship (QSAR) models and physiologically based pharmacokinetic (PBPK) models, allow scientists to predict the toxicity of substances with minimal animal testing. By understanding the relationship between chemical structure and biological activity, these models provide a cost-effective and ethical alternative to traditional methods.
