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Three Approaches to AI Adoption in Regulatory Writing

On-Demand Regulatory Writing AI Adoption Webinar

Stay ahead of the curve with this strategic on-demand resource for embracing AI in regulatory writing.

 

The Importance of AI Adoption in Regulatory Writing

The regulatory writing workload in the pharmaceutical industry continues to grow. Tight timelines, complex documentation, and high stakes mean that there is no room for errors or delays. The right application of AI isn’t a luxury; it’s becoming essential, and generic tools aren’t enough. To succeed, you need a structured, compliant strategy for adopting AI in regulatory writing.

This webinar provides a clear, practical roadmap showing you how to deploy purpose-built AI solutions across your regulatory writing workflows, helping you improve speed, accuracy, and compliance.

 

What you’ll learn

  • Understand the current AI medical writing landscape
  • Strengths and weaknesses of different AI approaches in document generation including Structured Content Authoring (SCA) and Generative AI (GenAI)
  • How to apply generative AI without compromising consistency and quality through better prompt engineering

Complete the form to access the on-demand webinar and equip your team with the insights they need to lead AI-driven change in regulatory writing.

 


About the authors

Ian Kerman, MS

Data Science and AI Client Solutions Architect

Ian Kerman is a Data Science and AI Client Solutions Architect at Certara, where he leads initiatives at the intersection of artificial intelligence, data science, and life sciences. With over 15 years of industry experience, Ian brings deep expertise in machine learning, MLOps, and scientific informatics, helping life sciences organizations translate complex data into actionable insights. At Certara, he spearheads advanced R&D efforts in large language models, user experience design, and integrated biological and chemical data knowledge systems.

 

Liam O’Leary, PhD

Client Solutions Architect

Liam O’Leary is a Client Solutions Architect at Certara.AI, applying GenAI to bridge science and software for life-sciences teams. He has delivered over 50 CoAuthor demonstrations for pharmaceutical and biotech companies, developed training and workflows for regulatory writers, and partnered across product and consulting to advance Certara’s AI solutions.

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