Picture this: A lung cancer drug candidate was headed for abandonment until AI-powered pathology analysis identified which patients would benefit from it. Using machine learning and digital pathology, the two sponsors backing the candidate built an algorithm capable of distinguishing responders from non-responders to the compound they were developing. "Without that AI model and digital...The post How Proscia is using AI embeddings to transform drug discovery in pathology appeared first on Drug Discovery and Development.