The importance of predictive models in toxicology stems from their ability to enhance efficiency and ethical considerations. Traditional toxicological assessments often involve animal testing, which raises ethical concerns and is time-consuming. Predictive models can reduce the reliance on animal testing, leading to faster and more humane assessments. Additionally, these models can handle vast amounts of data, providing insights that might be missed by traditional methods.
