Agenda for Day 3 - Wednesday 11 November, 2026Wednesday, 11 November 2026

Explore critical lessons learned from failed and successful clinical trials

Gain insights into improving trial design and operational processes

Examine real world case studies to enhance future trial outcomes

Engage innovators and funders in clinical trial discussions

Explore case studies on successful collaborations with manufacturers and therapeutic innovators

Build partnerships to support trial execution and innovation

Learn how to engage CROs as part of the team

Minimize risks and enhance clinical trial partnerships

Building relationships between vendors and biotech companies

Explore bold and innovative strategies for Phase 3 trials in rare diseases, focusing on risk-taking and challenging existing literature to achieve groundbreaking results.

Learn how to design clinical trials that differentiate first-in-class therapeutics and position novel therapies for success.

Discover adaptive, platform, and basket trial designs to enhance efficiency and accelerate the development of breakthrough therapies

Explore financial barriers in clinical trials and their impact on operations

Discuss cost-saving strategies and innovative approaches to streamline trial processes

Highlight mission driven investments that balance capital and clinical impact

Explore how CAR-T platforms are bridging autoimmune and oncology indications, leveraging translational insights across disease areas

Address organizational challenges of working across multiple departments with different priorities and stakeholder expectations

Navigate recent FDA guidance on cellular therapies and regulatory pathway considerations when bridging from oncology to autoimmune indications

Discuss strategies for effective cross-functional governance, resource allocation, and operational excellence in dual-indication programs

Explore how AI is revolutionizing clinical trial operations, from streamlining protocol development to patient recruitment

Address ethical considerations and challenges like inclusion/exclusion criteria and patient adherence Gain insights into AI’s future impact on healthcare and clinical trials through predictions and case studies from leading companies