Computer modeling and simulation have become crucial in toxicology. These methods use algorithms and databases to predict the toxicity of substances. The data-driven approach can analyze vast amounts of information to forecast how chemicals might interact with human biology.
One example is Quantitative Structure-Activity Relationship (QSAR) modeling, which predicts the effects of chemical compounds based on their molecular structure. QSAR models help in identifying potential toxicants early in the drug development process, saving both time and resources.
