- Questioning whether current AI tools are overpromising and underdelivering in real clinical operations
- Exploring where AI implementations are stalling due to data quality, integration and change-management challenges
- Examining regulatory, validation and inspection readiness concerns that are slowing adoption
Archives: Agenda
Operationalizing PROs and digital endpoints in early oncology: faster decisions, better data, stronger Phase III
- Embedding patient-reported outcomes (PROs) early to streamline oncology trial operations and control cost: How PROs in Phase I/II can deliver clearer tolerability and patient-experience data, supporting faster decisions and more efficient Phase III planning
- Operationalizing digital endpoints (eCOA) for speed, quality, and patient-centricity: Practical strategies for configuring eCOA to accelerate startup, and reduce patient burden
- Using digital endpoints to enable risk-based oversight and phase-to-phase continuity: How continuous, real-time eCOA data supports centralized/risk-based monitoring, and robustness of regulatory and scientific outcomes
PANEL DISCUSSION Rebuilding trust across sponsors, CROs and sites by addressing the human factors behind operational success
- Exploring how communication styles, cultural mismatches and unspoken assumptions derail trials more than processes or systems
- Supporting teams by aligning expectations, roles and behaviour before contracting, not after issues emerge
- Strengthening long-term partnerships with transparent conflict resolution models and joint decision-making practices
Moderator: Peter Barschdorff, Vice President, GlobalData
PANEL DISCUSSION Scaling innovation in clinical trials by moving beyond pilots and embedding change across teams
- Exploring why innovations stall at pilot stage
- Supporting organizations to scale meaningful improvements
- Strengthening alignment and accountability across teams
Moderator
John Seman, CEO, Revitale Pharma
From protocol design to operational reality: making clinical trials work before they start
- Transforming Protocol to Execution: How AIKA uses advanced AI to streamline protocol generation, enhance feasibility analysis, and reduce study start-up timelines
- Data-Driven Decision Support: Leveraging real-time operational insights and predictive analytics to improve trial performance and risk mitigation
- Scaling Clinical Operations: Practical examples of AIKA in action, from automated task orchestration to cross-functional collaboration that drives efficiency and quality
Registration & Refreshments
Chairman’s opening remarks
Registration and Refreshments
The treatment works — now what? Navigating post-trial access between patient need and operational reality
- Understanding patient expectations when a treatment shows clear benefit during a trial
- Managing continuation pathways once a study ends and the therapy is not yet commercially available
- Exploring where sponsors, sites, and physicians struggle to align on responsibility and feasibility
Understanding what the China pharma and biotech shift means for running trials, with implications for agencies, contractors, and vendors
- Baselining the magnitude of China Biotech & Pharma
- Understanding the shift for the broader industry
- Reflecting on China market realities
- Implications for agencies, contractors, and vendors
- The way out