AI-Empowered Drug Design & Clinical Research Salon

An in-person salon co-hosted by the Sino-American Pharmaceutical Professionals Association, North Carolina chapter (SAPA-NC) and AIGM (AI Generative Mining).

From Real-World Data to Drug Discovery: Applications, Opportunities and Challenges.

This is not another AI talk — it's a live, structured debate. Real cases and insights, pro vs. con debate rounds, audience voting before and after, and panel judgment from CRO, Biotech, and Regulatory/Data perspectives — closing with key takeaways on what AI can do now, and what it cannot do (yet).

Central debate question: "Is AI-driven Dry Lab + Wet Lab ready to become the new paradigm for drug development and clinical research?"

Debate rounds

1. Speed vs. Rigor — Can AI make research faster without making us confidently wrong? 2. Big Data vs. Better Data — When are 3,000 well-characterized patients more valuable than 300 million records? 3. Dry Lab vs. Wet Lab — How much wet-lab work can — or should — AI actually replace? 4. Automation vs. Accountability — If an AI-generated conclusion is wrong, who is accountable?

Speakers

• Rico W. Tang, Ph.D. — Chief Scientist, AIGM Limited: "Data-Understanding AI Enabled Real-World Evidence (RWE) & AI-Driven Drug Discovery (AIDD)"
• Selina Zhang, MBA — AIGM Partner: "AI Across the Clinical Research Value Chain: Applications and Perspectives"

Host

• Tony Zhang, Ph.D. — SAPA-NC Advisor

Program

• 12:00–12:30 PM — Snack & Networking
• 12:30–3:00 PM — Research Salon

Space is limited to 30 seats.