Latest Articles

  • 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

  • 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

  • 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

  • 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