• How AI is Transforming Clinical Trials

    AI is already reshaping the clinical trials industry and that transformation looks set to continue over the next five years. New technologies will enable the development of more personalized medicines, empower more responsive trial designs and improve informed decision making by unlocking new data insights. read more
  • Five Steps to Smooth Agentic AI Adoption

    In agentic AI-enabled labs, AI goes from individual, one-off applications to comprehensive workflow orchestration. read more
  • Why 2026 Is the Year Clinical Trials Stop Drowning in Data

    Rich data sits across systems; actionable insight does not. Making clinical decisions on the back of mountains of collected data, without the systems to connect it all together, is like trying to understand the mood of a restaurant by looking at each patron individually. read more
  • AI Technologies in Pharmacovigilance

    Leading pharmaceutical companies are predominantly applying AI to case intake and early case processing in PV, where rising Individual Case Safety Reports (ICSRs) volumes and diverse report formats have made manual handling increasingly unsustainable. AI is used to support data intake, extraction, and transformation up to the point where information can be integrated into the safety database, while downstream steps like case assessment and medical review largely remain human-led. read more