HopeAI x SAPA RISW Reception

As clinical development becomes more data-rich and decision-intensive, the critical question is no longer whether AI will be used, but how it can be combined with statistical rigor, high-quality evidence, and human expertise to improve clinical trial design and decision-making.

HopeAI and SAPA invites you to an evening reception during RISW exploring the evolving intersection of statistics, artificial intelligence, and clinical development.

Through keynote conversations and an expert panel, we will discuss:

• How AI is transforming clinical evidence generation and synthesis
• The role of statistical rigor in validating AI-enabled insights
• How better evidence can support more defensible trial-design decisions
• How can regulatory and industry leaders co-create harmonized paradigms that are robust enough for critical clinical decision-making while keeping pace with rapid innovation?

• How can statisticians—both within industry and regulatory agencies—proactively lead and co-design the responsible use of AI?

The program will be followed by dinner and networking with leaders and professionals from biostatistics, clinical development, regulatory science, data science, pharmaceutical R&D, and the broader life-sciences community.

WHO SHOULD ATTEND

• Biostatisticians and statistical leaders
• Clinical-development and clinical-strategy professionals
• Regulatory and medical-affairs professionals
• Data scientists and AI leaders in life sciences
• Pharmaceutical and biotech executives
• Researchers and professionals interested in the future of evidence-based drug development

EVENT DETAILS

Date: Wednesday, September 16, 2026
Time: 6:00 PM–9:00 PM

Venue:
Bethesda North Marriott Hotel & Conference Center
Glen Echo Room, Lower Level
5701 Marinelli Road
Rockville, MD 20852

PROGRAM

• Keynote Conversations
• Expert Panel Discussion
• Dinner
• Networking

Co-hosted by HopeAI and SAPA.

Join us for an evening of evidence-based conversation, cross-disciplinary perspectives, and meaningful connections at the intersection of statistics, AI, and clinical development.

Space is limited. Registration is required.