Predictive modeling in toxicology involves using computational and statistical methods to predict the toxicity of substances. These models help in identifying potential hazards without the need for extensive laboratory testing, thereby saving time, resources, and reducing the use of animal testing. Predictive models can range from simple quantitative structure-activity relationship (QSAR) models to more complex machine learning algorithms.
