What Is the Role of Machine Learning in Analyzing Binary Outcomes?
Machine learning techniques are increasingly being applied to analyze binary outcomes in toxicology. Algorithms can process large datasets to identify patterns and predict outcomes with high accuracy. For instance, machine learning models can predict the toxic potential of new chemicals based on previously observed binary outcomes, thus accelerating the risk assessment process and reducing reliance on animal testing.
