Scilife Quality Summit 2026

Learn how critical thinking helps teams challenge assumptions, uncover root causes, and turn investigation findings into CAPAs that prevent recurrence, while exploring where AI can support investigations and where human judgment remains essential to effective problem-solving.

Learn how quality connects people, technology, and business goals through cross-functional collaboration, positioning QA as a trusted partner that strengthens quality culture, supports innovation, and builds long-term resilience.

Learn how AI can add value across drug development, and how trusted data, quality-driven governance, and evolving European regulation support responsible adoption, with meaningful human oversight and regulators’ practical experience guiding evidence-based innovation in life sciences.

Learn how early quality involvement in AI, digitalization, and automation projects helps anticipate risks, prevent compliance gaps, and reduce costly delays, while building the skills, mindset, and partnerships needed to make quality a strategic contributor to better decisions and innovation.