Data-centric challenges with the application and adoption of artificial intelligence for drug discovery

Introduction: Artificial intelligence (AI) is exhibiting tremendous potential to reduce the massive costs and long timescales of drug discovery. There are however important challenges currently limiting the impact and scope of AI models. Areas covered: In this perspective, the authors discuss a range of data issues (bias, inconsistency, skewness, irrelevance,... Show more