Archives: Agenda

• Reducing recruitment timelines while improving enrollment success rates
• Integrating AI with electronic health records (EHR) and real-world data
• Overcoming ethical and regulatory challenges in AI-powered recruitment

TBD – Piotr Maślak

• Showcasing a real-world use case that explores the future potential of GenAI in clinical trial operations
• Optimizing trial efficiency and reducing costs through targeted applications of GenAI
• Inspiring long-term thinking on the strategic business impact of integrating GenAI into clinical development processes

Moderator
Sonnika Lamont, Senior Analyst, GlobalData

• Competition for patients in clinical trials is fierce, and putting the trial at the front of mind of PIs, site teams, referral networks, and patients is crucial to win in patient engagement​
• A successful recruitment and retention strategy has to reach target HCPs and patients with accelerated precision through an engagement campaign that starts with an evidence-based point of reference, builds confidence in the trial, delivers a resonating call to action, and evolves as clinical insights start flowing in​
• A new approach to recruitment and retention takes inspiration from ways of working within Medical and Commercial teams and produces durable outputs that evolve into the essentials of a product launch toolkit, facilitating organizational efficiency

• Current EU biotech landscape
• Early Phase (EP) done right: How robust EP FIH, healthy volunteer studies, and patient studies can be the launch pad for EU biotech clinical trial development
• Global reach, local intelligence: Leveraging strong networks across geographies while working within local regulatory, patient, and site environments with alignment of strategy and operations
• Late-Phase pull-through advantage and partnering for scale: examples from EU biotech of EP Phase I to Phase II/III programs, minimizing rework and accelerating timelines

• Enhancing feasibility assessments using AI algorithms
• Streamlining clinical trial designs with predictive AI models
• Leveraging AI for identifying optimal patient populations

• Designing AI responsibly under proper governance: ethical frameworks for the implementation of AI agents
• Discussing how AI is being applied across the trial lifecycle
• Balancing patient privacy and data protection: Bridging regulatory frameworks with real-world implementation