Event: 2026 DIA Medical Affairs and Scientific Communications
Date: Mar 2-4, 2026
Location: The Westin Boston Seaport District（425 Summer Street, Boston, MA 02210, USA）
The DIA Medical Affairs and Scientific Communications Forum is a premier multidisciplinary platform designed by and for medical affairs professionals. Spanning three specialized tracks—Medical Communications, Medical Writing, and Field Medical—the forum focuses on fostering interdepartmental collaboration and strategic synergy. Attendees gain critical insights into evolving regulatory compliance and communication trends, equipping them with actionable knowledge to navigate the complex challenges and daily responsibilities of the modern medical affairs landscape.
Booth Number: 200
Presentation from AlphaLife Sciences:
Date: March 2
Time: 2:25-2:55 PM
Speaker: William Chen, Principal Business Solution Architect, AlphaLife Sciences
Topic: GenAI-Powered Medical Affairs' Content Insight and Authoring at Scale
Abstract：
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.
Outline：
1. 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.
2. 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.
To request a meeting, fill out the form provided and a representative will be in contact soon to schedule.