- Managing increasingly complex clinical trial designs
- Overcoming API availability constraints to enable agile scaling
- Navigating short product shelf-life to ensure reliable delivery to trial sites
- Selecting and tightly managing CDMO/CMO partners to reduce risk and delays
- Ensuring strong alignment with internal stakeholders to accelerate decisions and execution
- Simplifying consumables/component sourcing to reduce complexity and improve continuity
- Mitigating geopolitical and unexpected disruptions to protect supply chain sustainability
Archives: Agenda
Lunch and networking
Chairperson’s closing remarks
Registration and refreshments
Case Study: Sharing clinical supply processes and challenges within a complex cell therapy trial
- Understanding and complying with regulation to limit delays
- Choosing a manufacturing and distribution model to suit trial supply
- Considering temperature monitoring and control options to reduce excursions and waste
- Reviewing challenges faced and lessons learnt
Chairperson’s opening remarks
Opening Keynote: Clinical Supply Chain at a Crossroads: Why the Old Model Can No Longer Support Modern Clinical Development
Clinical development has fundamentally changed, yet many supply chain models have not. This session explores why a strategic shift is required to secure patient access, control costs and sustain performance in an increasingly uncertain world.
Breakfast Executive Exchange: Is Hotel Tech Overhyped? Market Signals and the 2027 Outlook
Strapline: Cutting through the noise to drive measurable value
- Market outlook: investment signals, consolidation, and risk priorities
- AI – separating hype from tangible results
- Establishing a use case – the difference between failure and success
- Investment priorities: where should you invest?
WORKSHOP Training Teams to Respond to Inspection Findings — An AI-Supported Approach
Concept
Participants work through a real inspection finding scenario using an interactive training approach that combines regulatory requirements, audit observations, and AI-supported decision-making.
Takeaway: Transferable methodology for training teams to prepare for inspections using AI while maintaining audit trail and regulatory compliance.