How Does Machine Learning Enhance Predictive Toxicology?
Machine learning enhances predictive toxicology by building models that can predict the toxicity of new compounds based on historical data. These models learn from existing datasets and can identify complex patterns that are not apparent through traditional methods. They are particularly useful for high-throughput screening processes, where large numbers of compounds are evaluated for potential toxicity.
