How Does Machine Learning Enhance Toxicological Predictions?
Machine learning enhances toxicological predictions by allowing the development of models that can learn from data and improve over time. These models can process large volumes of data to recognize complex patterns that might not be apparent through traditional analysis. By using algorithms such as neural networks and decision trees, machine learning provides a robust framework for predicting the toxicity of new and existing compounds.
