Talk Artificial Intelligence track
AI for End-to-End Study Startup
Mon, Oct 19, 2026 · 2:30–3:30 PM EDT
About this session
Study startup remains one of the most persistent bottlenecks in clinical development, with timelines driven by document assembly, site qualification, budget and contract negotiation, and regulatory submission preparation — all document-heavy, repetitive, and slow. This session maps AI capability against each stage of the startup lifecycle, distinguishing between mature applications available today and those still aspirational. We'll cover feasibility and site identification, protocol summarization for site-facing materials, essential document review and completeness checks, budget benchmarking, contract turnaround, and translation workflows for multi-country trials. Presenters will share measured results, including where cycle time actually improved and where the overhead of validation and review consumed the savings.
Takeaways
Map AI use cases to specific study startup activities and their existing bottlenecks
Distinguish proven applications from vendor claims still under development
Establish baseline metrics so you can prove — or disprove — cycle time improvement
Speakers
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VP, Product AI Site Enablement · WCG
Speaker
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