Summary
Regardless of module, the creation and population of in-text tables is a significant productivity killer for regulatory writers. When you consider the rapid change of study data ahead of database lock, table creation can often be what stalls final draft delivery.
Join us for an exclusive deep-dive into our latest release of CoAuthor™, Certara’s revolutionary GenAI solution designed to transform regulatory and medical writing. Discover how CoAuthor integrates specialized generative AI approaches to enhance regulatory writer’s ability to automate the population and creation of in-text tables.
What you’ll learn:
- How to leverage AI for creating in-text tables
- Strategies to ensure table quality and accuracy
- Best practices for managing tables ahead of database lock
Don’t miss this opportunity to explore how CoAuthor can streamline your processes, reduce submission timelines, and help bring life-saving medicines to patients faster.
Reserve your spot today!
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Director, Global Portfolio Leader for Certara.AI
Nick Brown is Director, Global Portfolio Leader for Certara.AI; the life sciences-specialized GPT platform. Nick has over 10 years of experience driving AI adoption and customer success across life sciences, federal government and other industries. Prior to Certara, Nick led marketing at Vyasa (now Certara.AI) assisting in the launch and go-to-market strategy for the Layar data platform. He is a graduate of the University of New Hampshire and resides in Andover, MA.
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