Latest Articles

  • The Operational Foundations That Characterize Regulatory Leaders

    Holding individuals and teams explicitly accountable for data accuracy and quality might seem straightforward, but it is difficult to sustain in practice. read more

  • The Human Advantage in ADME Testing

    Animal models do not accurately recapitulate several aspects of human physiology, and these differences lead to variations in drug behaviors across species. Each contributes useful evidence, but what is missing is the connected human biology needed to predict ADME behavior with confidence. 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