Computational approaches in toxicology involve the use of computer-based models and simulations to predict the toxicity of substances. These methods leverage large datasets and advanced algorithms to provide insights into the potential toxic effects of chemicals without extensive laboratory testing. This not only saves time and resources but also reduces the ethical concerns associated with animal testing.
