In the era of big data, anticipatory toxicology leverages massive datasets to enhance predictive capabilities. By analyzing large volumes of data from various sources, such as environmental monitoring and epidemiological studies, toxicologists can identify patterns and trends that indicate potential risks. This data-driven approach facilitates the identification of emerging contaminants and helps prioritize research and regulatory efforts.
