Latest Articles

  • Rethinking the Architecture of Adverse Event Processing

    Deploying AI agents to handle data collection, coding, medical review, and quality-checking makes signal management autonomous at the processing stage. 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

  • Beyond Case Management

    In large pharma, a staggering 40 to 50 percent of expert pharmacovigilance time is still consumed by tasks far removed from active, scientific PV - such as the mechanics of scheduling reports, tracking down contributors, and managing documents. read more