Closing the data loop in AI-driven drug discovery

AI is increasingly used in drug discovery to identify and optimize chemical compounds, aiming to reduce the high costs and failure rates of clinical trials. However, the industry faces physical bottlenecks in labs and a critical need for higher-quality, integrated data to move beyond predictive design.