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.

Good metaphors facilitate sure-footed decisions, ill-fitting metaphors can lead us astray. Where common metaphors around artificial intelligence stand on a scale from dangerously deceitful to essentially accurate? And what ‘artificial intelligence’ itself?

All too often in artificial intelligence, the rush to implement overtakes a full appreciation of the job to be done, leading to underwhelming solutions. In a short case study, we show how to think like a designer first.