Agenda - Day 2
AI & Digital Innovations
World Congress 2026 Europe
Driving Smarter Science, Faster Trials and Stronger Value Through AI‐Enabled Innovation
11th - 12th November 2026, London, United Kingdom
AI‐Driven Clinical Development, Operational Excellence & Evidence Strategy
- Modernising trial design through predictive modelling and digital innovation
- Improving recruitment, retention and site performance with AI‐driven insight
- Operational forecasting enabling leaner, more predictable trial execution
- Digital endpoints and sensor‐based data strengthening evidence quality
- Commercial impact of faster, smarter and more inclusive trials
Moderator:
Panellists:
- Increasing trial success probability through precision cohort design
- Reducing variability and improving signal detection
- Strengthening regulatory and payer narratives with biomarker‐driven evidence
- Integrating stratification intelligence into clinical strategy
- Commercial implications for competitive positioning and launch readiness
- Continuous, real‐world patient insights improving trial robustness
- Validating digital endpoints for regulatory and commercial acceptance
- Enhancing inclusivity and patient experience through remote monitoring
- Operational efficiency gains from digital trial models
- Evidence advantages supporting launch, market access and lifecycle value
- Predictive analytics improving operational planning and risk management
- Site selection and performance optimisation through AI‐driven insight
- Reducing operational waste and improving cost efficiency
- Strengthening timelines through proactive decision‐making
- Customer case studies demonstrating operational uplift
12:00 - SPONSORED SPOTLIGHT: Digital Health & Remote Monitoring Solutions for Next‐Generation Trials
- Sensor‐based data capture enabling continuous patient insight
- Technologies improving engagement, adherence and retention
- Real‐time monitoring strengthening safety and efficacy signals
- Evidence generation advantages for regulatory and commercial success
- Real‐world examples of digitally enhanced trials
- Real‐time adverse event detection improving patient safety
- Strengthening signal intelligence for regulatory confidence
- Operational efficiency gains in safety workflows
- Commercial implications for lifecycle management and risk mitigation
- Case examples demonstrating accelerated safety insight
- Predictive modelling improving protocol design and complexity reduction
- Feasibility insights strengthening operational readiness
- Commercial impact of fewer amendments and faster timelines
- Integrating optimisation tools into clinical planning
- Case studies demonstrating improved protocol performance
- AI improving forecasting accuracy across timelines and resources
- Identifying operational risks earlier and more reliably
- Commercial benefits of leaner, more predictable trial execution
- Integrating forecasting tools into operational workflows
- Real‐world examples of cost and time savings
- Synthesising RWD/RWE to strengthen submissions and payer narratives
- Improving evidence quality through multimodal AI
- Commercial implications for launch, access and lifecycle value
- Integrating RWE intelligence into clinical and commercial strategy
- Case studies demonstrating accelerated approvals and stronger value stories
- AI enabling perpetual insight across clinical and commercial phases
- Strengthening lifecycle management through ongoing evidence creation
- Commercial value of continuous data for differentiation and competitiveness
- Integrating continuous evidence into organisational strategy
- Real‐world examples of post‐market intelligence acceleration
- Regulatory confidence through AI‐enhanced evidence generation
- Market access differentiation through stronger value stories
- Post‐market insight acceleration improving lifecycle performance
- Commercial value unlocked through continuous evidence
- The future of evidence‐driven competitiveness in an AI‐enabled industry