• 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
  • 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
  • Engaging with Regulators for Single-Arm Oncology Research Trials

    When well-planned and well-executed, single-arm trials can accelerate access to life-saving therapies that might otherwise never reach desperate cancer patients. read more