Latest Articles

  • Leveraging AI and ML to Optimize Drug Discovery – a CRO Perspective

    CROs supporting early-stage drug discovery projects are establishing their own internal AI platforms to address their clients’ needs in an evolving field. 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

  • Patient-Centric Drug Delivery

    Across modalities and markets, patient-centric drug delivery is converging on three themes: self-administration at home, integration of drug delivery device platforms earlier in clinical trials, and alignment of formulations with device and human factors requirements. 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