Latest Articles

  • Status Of AI Regulation On Drug Development

    As AI capabilities scale, the FDA expects sponsors and their outsourcing partners to treat AI like any other regulated, computerized system that can influence safety, effectiveness, or quality–define the role, document credibility, control the lifecycle, and monitor performance. read more

  • 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

  • Limitations of Existing Life Science Software - and the Opportunity to Evolve

    ELNs, LIMS and SDMS systems aren’t going away anytime soon. They provide a foundation for doing reliable, collaborative, and impactful science. The key here is that by embracing and adopting new technologies, scientific organizations can protect their existing investments while unlocking new levels of efficiency, collaboration, and discovery - at their own pace and on their own terms. read more