Closing the data loop in AI-driven drug discovery

AI is being used to accelerate drug discovery by identifying and optimizing chemical compounds more efficiently, reducing costs and timelines. However, AI-generated candidates still require lab validation due to limitations in predicting compound kinetics and developability.