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In this episode of Cell & Gene Podcast episode, Host Erin Harris talks to Stanford School of Medicine Ph.D. student, Yuanhao Qu, about his work developing CRISPR-GPT, an AI-driven multi-agent system designed to automate genetic experimental design and data analysis, making CRISPR experiments more efficient and accessible, even for non-experts. Qu explains how CRISPR-GPT addresses key challenges such as guide design, delivery methods, off-target prediction, and protocol generation, and shares how collaborations with Princeton helped shape the tool’s architecture and evaluation. Qu also discusses Biomni, a general-purpose biomedical AI agent aimed at supporting a broad range of life science applications, and how the two systems complement each other as building blocks toward an "AI scientist" capable of accelerating discovery across biomedicine. Qu emphasizes the importance of rigorous evaluation, productivity gains, and ethical guardrails to ensure these tools are powerful yet safe for the future of biomedical research.

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