From the Depths of Literature: How Large Language Models Excavate Crucial Information to Scale 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.
No-nonsense: How ChatGPT-Technology helps Biotechs find better Drug Targets faster
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.