Latest Articles

  • How Real-Time Data Analytics Can Address Common Pain Points in Clinical Trials

    Major issues in clinical oversight are latency and heterogeneity across systems including formats, identifiers, coding conventions, and timing of updates. read more

  • 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

  • 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