Developing new medicines can require thousands of chemistry experiments to identify the right recipe for a safe, effective and ideally affordable drug.
The process is slow and labor-intensive, and many of the reactions depend on hard-to-source metals that act as essential catalysts.
While artificial intelligence is helping speed up the process of drug discovery, it can only learn from the data available, and when it comes to chemical reactions, the large, high-quality data sets needed to train powerful AI tools aren’t there.
