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

  • 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

  • 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

  • An Interview with Rod Ketner, PhD

    Sponsors sometimes optimize too narrowly for the next milestone instead of the full development path. A formulation may be sufficient for an early study but still be poorly positioned for robust scale-up, transfer, or validation. That’s where delays and added costs show up. read more