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Westin Arlington

2024 年 09 月 23 日 7:30 上午 - 2024 年 09 月 24 日 3:30 下午

801 North Glebe Road, Arlington, VA 22203

Global Clinical Trial Disclosure and Data Transparency Conference

Untangle the complexities of global disclosure practices, learn about recent regulatory modernization, and discuss cross-regional strategic considerations.

Session 9: Use of Artificial Intelligence in Clinical Trial Transparency

Session Chair(s)

Robert  Paarlberg, MS

Robert Paarlberg, MS

Principal

Paarlberg & Associates LLC, United States

Artificial Intelligence (AI) is having a major impact on life sciences. Its ability to process vast quantities of data and information faster than humans has numerous valuable applications in the sector, from creating new drugs and targets, to preparing documents for regulatory submissions to health authorities. This session will explore the use of leveraging AI in creating documents, using AI to modernize the Plain Language Summary process, and hearing about patient and public perceptions on the use of AI in crating clinical trial documents.

Learning Objective :
  • Understand how AI agents can automate mundane tasks in clinical trial documentation and disclosure
  • Identify opportunities for implementing AI agents in clinical trial transparency processes
  • Explore the integration of AI technology into the PLS writing process
  • Describe patient and public perceptions and preference on the use of AI to create plain language clinical trial documents

Speaker(s)

Woo  Song

Leveraging AI Agents to Enhance Clinical Trial Transparency and Efficiency

Woo Song

Xogene, United States

Co-Founder

Lauren  Haggerty

Modernizing the BMS PLS Process, Accelerating with AI Support

Lauren Haggerty

Bristol-Myers Squibb, United States

Clinical Trial Manager II

Zack  Fey

Patient and Public Perceptions on the Use of AI in Creating Clinical Trial Documents

Zack Fey

CISCRP, United States

Manager, Medical Writing

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