Clinical trials continue to grow in complexity, and protocol design has never been more critical to operational success. Small decisions made upstream can dramatically influence timelines, enrollment performance, and the likelihood of costly amendments.
In this session, join WCG and industry leaders to explore how data, analytics, and predictive insights can strengthen your study planning and start-up activities, and help sponsors, CROs, and sites to identify issues before they impact a study.
What You’ll Learn
Get real-world examples of how data-driven intelligence and predictive modeling can help your organization:
- Enhance decision-making throughout the process.
- Optimize protocol design with insights rooted in real operational performance.
- Identify and mitigate risks earlier, helping to reduce downstream amendments and delays.
- Strengthen site strategy through evidence-based feasibility insights.
- Improve forecasting accuracy with models that simulate operational scenarios.
Speakers
Mette Andersen
General Manager, Data, Analytics & Insights Solutions, WCG
Joe Cianciarulo
Country Head, US Clinical Studies Unit, Sanofi
Marisa Rackley
Vice President, Clinical Site Start Up, Site Engagement, Trial Optimization, Site Payments, Takeda
Brooke Shankles
Vice President, Clinical Operations, Outsourcing and Vendor Governance, Crinetics Pharmaceuticals