Computational toxicology uses mathematical models and simulations to predict the toxic effects of new chemicals. This approach can significantly reduce the need for animal testing and expedite the assessment process. Techniques like Quantitative Structure-Activity Relationship (QSAR) models and high-throughput screening (HTS) are commonly used.
