Agenda - Day 1
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‐Enabled Discovery, Early Development & Strategic R&D Acceleration
- How AI‐enhanced insight is reshaping scientific strategy and early‐stage prioritisation
- The commercial implications of faster, more confident go/no‐go decisions
- Balancing scientific ambition with investment discipline in an AI‐native environment
- Competitive differentiation through intelligent discovery and early development
- Leadership behaviours required to scale AI across scientific and business functions
Moderator:
Panellists:
- Multimodal models enabling deeper biological, chemical and translational insight
- How unified data intelligence strengthens scientific confidence and commercial viability
- New capabilities for target, biomarker and modality exploration at scale
- Strategic implications for pipeline competitiveness and R&D productivity
- Building organisational readiness for foundation model adoption
- AI‐driven molecular creativity expanding chemical space and design possibilities
- Accelerating hit‐to‐lead cycles and reducing cost of failure in early development
- Commercial value unlocked through differentiated, AI‐designed assets
- Integrating generative tools into discovery workflows and decision‐making
- Case examples demonstrating accelerated timelines and improved asset quality
- How automation reduces bottlenecks and increases experimental throughput
- Improving reproducibility, data quality and operational efficiency
- Commercial benefits of automated discovery environments
- Integrating robotics into scientific workflows without disruption
- Customer case studies demonstrating measurable productivity gains
- Creating unified, high‐performance data environments for cross‐functional teams
- Reducing infrastructure complexity while enabling advanced analytics
- Supporting AI‐native discovery, modelling and simulation at scale
- Commercial ROI demonstrated through faster cycles and reduced operational cost
- Real‐world examples of platform‐driven scientific acceleration
- Strengthening early triage and reducing downstream attrition
- Improving translational confidence through predictive modelling
- Commercial impact of early risk mitigation on portfolio stability
- Integrating ADMET intelligence into scientific and strategic decision‐making
- Case examples of accelerated early development through predictive tools
- Improving confidence in target selection through multimodal AI
- Biomarker intelligence strengthening translational alignment
- Commercial implications of more reliable early‐stage decisions
- Integrating AI‐driven validation into scientific workflows
- Case studies demonstrating improved early‐stage success rates
- AI integrating transcriptomics, proteomics and metabolomics at scale
- Identifying mechanistic drivers and translational biomarkers
- Strengthening scientific rationale for early‐stage investments
- Commercial value of improved biological understanding
- Real‐world examples of multi‐omics‐driven breakthroughs
- Closed‐loop optimisation enabling continuous experimentation
- Robotics improving throughput, reproducibility and cost efficiency
- Commercial impact of high‐velocity discovery cycles
- Integrating autonomous systems into existing R&D workflows
- Case studies demonstrating accelerated discovery timelines
- Designing modern data environments that support AI‐driven science
- Reducing fragmentation and enabling cross‐functional collaboration
- Commercial benefits of unified, high‐performance infrastructure
- Governance and security considerations for AI‐native R&D
- Examples of scalable architectures delivering measurable impact
- AI‐driven modelling improving portfolio decision‐making
- Strengthening investment confidence through predictive insight
- Commercial implications of faster, more accurate prioritisation
- Integrating AI into strategic planning and resource allocation
- Case examples of portfolio uplift through intelligent triage
- How AI accelerates scientific and commercial value creation
- R&D productivity gains and cost efficiency through intelligent workflows
- Competitive differentiation through AI‐enabled pipelines
- Leadership behaviours required for sustained innovation
- The future of AI‐powered early development and portfolio strategy
Moderator:
Panellists: