How does machine learning aid in toxicological predictions?
Machine learning aids toxicological predictions by developing models that can learn from existing data and improve over time. These models can predict the toxicity of new compounds, classify chemicals based on toxicity levels, and identify potential adverse effects. By training on vast datasets, machine learning algorithms can detect complex relationships between chemical properties and biological responses, enhancing predictive accuracy.
