• 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
  • 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
  • Quality: The Gold Standard for CDMOs - No Exceptions, No Compromises

    In today’s hyper-competitive pharmaceutical landscape, innovation, speed-to-market and cost control usually take the spotlight when selecting a contract development and manufacturing organization (CDMO). However, underneath all those metrics, a single truth remains: if quality fails, so does everything else. read more
  • Future-Proofing Pharmacovigilance in an AI Era

    Clinical research organizations (CROs) are entering an era in which pharmacovigilance systems are doing more than just tracking copious amounts of data. They must also keep pace with evolving regulations, manage the growing volume of adverse event reports, and respond to heightened scrutiny from both regulators and the public. read more