The biotech industry has been quick to explore the potential of Large Language Models, yet practical insights remain scarce. In a field that is both art and science, experience is key. Here we share our lessons learned from building LLM applications in drug discovery.

In drug discovery, excavating the right information about potential drug targets and molecules from the depths of the scientific literature is key to success in biotech. Large Language Models will change the nature of this game. Here is how, in three concrete examples.

Large Language Models are poised to become an indispensable tool for biotechs looking to find their ideal drug targets. Evidence-grounded LLMs can sift through millions of publications, finding highly specific pieces of evidence in seconds, unlocking overlooked drug target opportunities.