Toxicological algorithms are computational methods designed to analyze and predict the toxicological properties of substances. They utilize various data inputs, such as chemical structure, biological activity, and [exposure levels](), to provide insights into potential toxic effects. These algorithms can range from simple statistical models to complex machine learning and [artificial intelligence]() (AI) systems.
