AI Research

    GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents

    Moving from zero-shot failure to 100% accuracy in clinical trial data processing via DAG-based agent orchestration.

    Clinical trial programming -- transforming study protocols into analysis-ready datasets under CDISC standards -- is a bottleneck in regulatory submissions, yet LLM-based code generation fails catastrophically on this task: across 11 single-shot attempts with five frontier models,...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    This breakthrough demonstrates that injecting structural process knowledge via DAG topology is essential for achieving the absolute precision required in regulated industries. By moving away from monolithic prompting, GxP-Agent transforms AI from an unreliable code generator into a validated, deterministic tool for life sciences.

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