What role does AI play in reducing animal testing?
Animal testing has long been a staple in toxicology for assessing safety and efficacy, but it raises ethical concerns and is often costly and time-consuming. AI models, such as in silico simulations, can significantly reduce the reliance on animal testing. These models simulate how a chemical might interact with biological systems, predicting potential toxic effects without the need for live animal subjects. This contributes to more humane and efficient testing processes.
