Several techniques are employed in advanced analytics for toxicology, including machine learning, statistical modeling, and data mining. Machine learning algorithms, such as neural networks and decision trees, are particularly useful for developing predictive models. Statistical methods are used to analyze dose-response relationships and identify trends, while data mining helps in uncovering patterns in large datasets.
