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Designing an AI Agent System to Execute Biodesign Debate Process
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Zitationen
4
Autoren
2026
Jahr
Abstract
Early-stage healthcare innovation depends on systematic unmet need discovery, a process constrained by time and multidisciplinary coordination. We developed BioDesign Agent, a multi-agent debate framework built on LangGraph to augment the identify phase of design thinking. The system assigns expert roles, clinical, engineering, human factors, regulatory, business, intellectual property, and patient access, to digital agents engaging in structured debate and scoring. Applied to antimicrobial resistance risk prediction, the agent surfaced diverse perspectives, refined need statements, and produced prioritized evaluations. Multi-agent debate yielded more differentiation, richer trade-off analysis, and more actionable insights compared with ChatGPT oss:20b only baselines, demonstrating how structured AI-assisted debate can accelerate healthcare need discovery and complement human-driven biodesign with scalable front-end innovation support.
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