Archives: Agenda

• Leveraging AI tools to optimize patient recruitment, site selection, and trial feasibility.
• Using AI for real-time data monitoring, quality checks, and endpoint analysis.
• Integrating AI solutions seamlessly into trial workflows to support operational efficiency.
• Ensuring regulatory compliance, validation, and transparency when deploying AI in active studies.

• Who is LifeArc?
• The Rare Disease Challenge
• LifeArc’s Approach to Accelerating Clinical Research
• Translational Centres for Rare Disease
• Rare Disease Clinical Trials Programme

Harnessing the convergence of high-fidelity data with advanced AI is now essential for de-risking clinical trials and accelerating therapies to patients. What if the distance between a draft protocol and a validated study execution plan was reduced to a single, unified simulation?

Join Medidata’s Eleanor McLaurin for a deep dive into the future of holistic trial design and planning. Learn how advanced modelling and simulation capabilities within a central workspace can revolutionise trial operations. This session will illustrate Medidata’s strategy for optimizing protocol design, predicting trial outcomes, and achieving greater clinical and operational success in the next generation of drug development.

• The hidden assumptions embedded in RFP design that narrow vendor capabilities​
• How RFP structure shapes partnership dynamics and long-term outcomes​
• Rethinking RFP strategy to access broader CRO expertise and innovation​