Latest Articles

  • 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

  • We Have More Data Than We Know What to Do With

    Every year brings another round of headlines about pharma “drowning in data.” At this point, that’s less a warning than a permanent weather condition. read more

  • The Next Test for AI in Pharmacovigilance Is Trust, Not Accuracy

    An AI model can be right and still not be trusted. That’s what Bristol Myers Squibb (BMS) found six months into rolling out AI-powered adverse event processing: while F1 performance scores were tracking upward, the audit trail found reviewers still reopening cases the system had already cleared. 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