Evidence Generation and Endpoint Strategy in Biotech Clinical Trials

  • Developing evidence generation strategies that align with regulatory expectations and clinical development goals
  • Selecting meaningful clinical and patient-centred endpoints to support efficient trial design and execution
  • Integrating innovative trial designs, biomarkers, and real-world evidence to strengthen development decisions
  • Optimising endpoint strategies to reduce development risk, accelerate approvals, and improve trial outcomes

Building Responsible AI Systems: Lessons for Life Sciences

  • Establishing robust AI governance frameworks that balance innovation with trust, transparency and regulatory compliance
  • Identifying and mitigating risks associated with AI adoption across clinical development and healthcare
  • Preparing for the next generation of autonomous AI systems while maintaining effective human oversight and accountability
  • Exploring practical approaches to implementing responsible AI that meet evolving regulatory expectations

NEW FOR 2026! INDUSTRY HOT TAKES PANEL DISCUSSION

1 stage, a variety of rapid-fire opinions, bold predictions and myth-busting from experts across the industry. Audience members will vote, agree or disagree, on each hot take! There’ll be a chance for the audience to pose some questions to the panel too.

The panel will answer the following:

  • Biggest challenge in clinical trials today
  • Biggest recruitment mistake
  • Regarding AI – What’s overhyped and what’s worth the hype
  • Where programs fail most often
  • What vendors misunderstand
  • One thing pharma should start doing
  • One prediction for 2030
  • Hot takes from the audience

Moderator: Eric Hajjar, Project Lead – Serious Bacterial Infections, Global Antibiotic R&D Partnership (GARDP)

 

From Study to Evidence Ecosystem: Rethinking Phase IV Research in the Age of External Control Arms and Strategic Outsourcing

  • Shifting Phase IV from an operational to a strategic function within broader evidence generation and lifecycle planning
  • Building reusable evidence platforms rather than relying on fragmented, one-off studies
  • Exploring the growing role of external control arms alongside the challenges of data quality and regulatory acceptance
  • Selecting the right outsourcing model to support long-term evidence generation and the future evolution of Phase IV programmes

Nightmare or Success…It’s Decided Early on Whether You’re the Scapegoat or the Hero!

Old myths debunked and depicting a framework for developing a good outsourcing strategy

  • Only words? Living with each party’s interest and building up strategies on a program level
  • The tension between expectation and reality: Ethics, compliance, patient centricity with cost pressure and tight timelines
  • Let’s put some industry myths to bed: 5 myths regarding outsourcing paradigms
  • The building blocks of a successful outsourcing strategy: Thinking about an outsourcing architecture
  • Let’s get this harvest in! Examples for efficiency and success
  • An economic paradox? Growing complexity while maintaining costs?
  • Take home message