Big data analytics is becoming increasingly important in toxicology, enabling the integration and analysis of vast amounts of data from various sources. By applying bioinformatics and data mining techniques, researchers can identify patterns, correlations, and predictive models that provide deeper insights into toxicological phenomena. This approach facilitates a more comprehensive understanding of the complex interactions between chemicals and biological systems.
