• Hasty Decisions, Runaway Projects

    Despite the best intentions of ISO and EMA, the pharma industry is still largely failing to exploit its data in a strategic, joined-up way - and this could now restrict companies’ ability to capitalize on AI. read more
  • AI in Pharmacovigilance: Key Takeaways from Boehringer Ingelheim’s Recent Rollout

    In conversation with Pharmaceutical Outsourcing, Claudia Lehman, Head of Global Pharmacovigilance Operations at Boehringer Ingelheim and Lucinda Smith, ArisGlobal’s Chief Safety Product Officer, reflect on some of the lessons learned from Boehringer’s deployment of AI to date in targeted use cases, starting with adverse event case intake and processing. read more
  • How Early Data Drives Better Cell Line Performance

    In the race to bring new biologics to market, development teams are constantly balancing speed, quality, and regulatory expectations. Yet one factor often determines long-term success more than any other: the strength of the data generated in the earliest phases of cell line development. read more
  • Why DSCSA Compliance in 2026 Hinges on Execution, Not Implementation

    After a decade of ramp-up, the era of DSCSA enforcement is no longer theoretical — it’s here. But as we move deeper into this phase of full compliance, the real story unfolds not just in establishing data feeds, but in the operational cracks that persist behind the scenes. read more