How Do AI Algorithms Improve Toxicity Predictions?
AI algorithms improve toxicity predictions by utilizing predictive modeling techniques. These models are trained on existing datasets that include information on chemical structures, biological activities, and known toxic effects. Once trained, the models can predict the toxicity of untested compounds with remarkable accuracy. This approach reduces the reliance on animal testing and expedites the identification of potentially hazardous substances.
