Medical Affairs and Scientific Communications Forum

This session shows how generative AI and agentic workflows can scale Medical Affairs insights and compliant authoring without sacrificing traceability. Attendees will see practical patterns to accelerate high-frequency MA deliverables—Medical Information response letters, congress intelligence (search, triage, and synthesis), and Medical Affairs playbooks—grounded in approved evidence and streamlined execution cycles. We will also walk through an end-to-end, AI-powered post-market evidence workflow spanning Literature Review, Protocol/Study Design, and CSR Writing to produce QC-enabled, traceable, review-ready drafts. The focus is on implementation-ready methods and governance that teams can apply immediately to improve speed, consistency, and scientific communication at scale. Featured Topics:

• AI for high-frequency Medical Affairs deliverables: Practical, real-world patterns to accelerate Medical Information response letters, congress intelligence (search, triage, and synthesis), and Medical Affairs playbooks—anchored in approved evidence with full traceability and faster execution cycles.
• AI for post-market evidence narratives: An end-to-end, AI-powered workflow spanning Literature Review, Protocol/Study Design, and CSR Writing—delivering QC-enabled, traceable, review-ready drafts