Webinar - From Code to Product Knowledge: How AI Is Transforming Clinical Trial Design Workflows

Thursday, July 16

10 AM ET / 4 PM CET

Artificial intelligence (AI) is rapidly reshaping how clinical development teams approach trial design, simulation, and decision-making. As statistical methodologies become increasingly sophisticated, teams are expected to combine statistical expertise, flexible programming skills, and deep product knowledge to answer complex design questions efficiently.  

AI-powered assistants are emerging as an effective way to support these evolving workflows, helping users spend less time writing repetitive code, searching documentation, and navigating complex workflows, giving them more time to explore trial design options and making informed decisions. 

Join Cytel’s innovation and data science experts for an interactive webinar exploring how purpose-built AI is being applied to clinical trial simulation and planning. Through live demonstrations and practical use cases, we will examine how AI can support coding, knowledge discovery, onboarding, and decision-making within Cytel’s East Horizon™ platform. 

Key Topics

  • Why AI-powered assistance is becoming an essential component of modern clinical trial simulation and planning 
  • How AI can accelerate statistical programming and support customized analyses and simulation workflows  
  • The role of conversational AI in improving access to product knowledge, statistical methodologies, and clinical trial design best practices  
  • How trusted AI systems retrieve and surface information from validated sources, including user manuals and knowledge bases 
  • Strategies for using AI to accelerate onboarding, reduce knowledge silos, and improve productivity across clinical development teams 
  • The future of AI-assisted workflows in clinical trial design and decision-making 

Moderator

Valeria Mazzanti, Director, Customer Success 

Speakers

Gabriel Potvin, Scientific Innovation & Software Engineer, Research & Innovation

Subhajit Sengupta, Associate Director of Data Science, Research & Innovation