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As the number of new drug introductions increases each year and the effort to bring scientific breakthroughs to patients faster intensifies, the integration of Generative AI into medical writer workflows brings massive time and productivity savings.
This webinar will explore how medical writers can work more efficiently with Generative AI, while maintaining their high writing standards. Speakers will review actionable strategies for integrating AI into workflows and dispel any lingering misconceptions about workflow automation.
Learning Objectives
After participating in this webinar, participants should be able to
- Discover how Generative AI can be a powerful ally in managing the increased demands of drug development.
- Explore real-world examples of how AI is revolutionizing clinical document development, from accelerating the creation of Clinical Study Reports (CSRs) to improving the accuracy and consistency of regulatory submissions.
- Apply best practices to minimize disruptions and maximize the benefits of AI.
Target Audience:
Regulatory and clinical medical writing professionals who want to enhance their skills and learn how to implement workflow / content automation technology
About the Subject Matter Expert:
Preetha Raghu is a Project Director at Yseop and has been with the company for the past 2 years. With a background in chemical engineering, she has consulted for pharmaceutical companies and has an extensive career in the technology sector. Preetha, in her role, is dedicated to educating and training medical writers on leveraging AI for improved efficiency and maintaining accuracy in medical writing.
Yseop is the leader in Generative AI for life science and pharmaceutical companies, changing the way content automation solutions are delivered with a human-centric, AI platform. Yseop is a pioneer in Natural Language Processing (NLP) technology and acts as a “Copilot” for medical writers, maximizing their efficiency and accuracy in generating reports and insights crucial to drug development and approval.
Activity Time: 1 hour
Originally Presented: September 2024