Simulation systems work by integrating QSAR models, physiologically-based pharmacokinetic (PBPK) models, and other computational approaches to estimate the absorption, distribution, metabolism, and excretion (ADME) of chemicals. These models use input data such as chemical structure and biological interaction information to predict toxicological outcomes. Advanced systems may incorporate machine learning algorithms to improve prediction accuracy by analyzing large datasets and identifying complex patterns.
