How are computational models transforming Toxicology?
Computational models, including in silico models and QSAR models, are transforming toxicology by predicting the toxicity of chemicals based on their structure and properties. These models enable researchers to screen large chemical libraries quickly, reducing the need for extensive animal testing. Advanced algorithms and machine learning techniques are continually improving the accuracy and reliability of these predictions.
