New GxP-Agent system uses DAG topology for reliable LLM-driven clinical trial programming

A new research paper introduces GxP-Agent, a multi-agent system designed to improve the reliability of clinical trial programming using LLMs. The system encodes regulatory process ordering as a directed acyclic graph (DAG), breaking down complex tasks into smaller, domain-specific nodes executed by specialized agents. This approach significantly outperforms single-agent and flat multi-agent systems on benchmarks like CDISC-Bench, achieving 100% structural match for dataset generation. AI

IMPACT This research could significantly improve the accuracy and efficiency of AI in highly regulated fields like clinical trials.

RANK_REASON Research paper detailing a novel system for LLM-based clinical trial programming. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• CDISC-Bench
• CDISCPilot01
• Claude Sonnet 4.6
• GPT-4.1
• GxP-Agent
• United States Food and Drug Administration

• paper
• product

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