• 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
  • From Data to Tissue

    The national-security regulatory landscape now layers a geopolitical framework onto the data flows, sample logistics, and vendor relationships that make modern clinical research possible. This architecture will not simplify. The DSP’s country-of-concern list may expand, the BIOSECURE Act’s designated-entities list will likely grow, and state legislatures continue adding requirements. read more
  • Rethinking Early-Phase Outsourcing

    The CDMOs that bridge the fulfilment gap and truly become partners are likely the best choice for biotechs and pharma looking to develop their early-stage asset. While most CDMOs are well-versed in providing services with regular communication, sharing strategic objectives with clients, and ultimately providing the final material, it’s the “above and beyond” CDMOs that provide the real added value. 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