arXiv AI By Sixue Xing, Kerui Wu, Xuanye Xia, Haoyu He, Meng Jiang, Jintai Chen, Tianfan Fu

ClinicalReTrial: Clinical Trial Redesign with Self-Evolving Agents

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ClinicalReTrial is a multi‑agent AI system that treats clinical trial protocol optimization as an iterative redesign problem on textual documents. It combines failure diagnosis, safety‑aware modifications, and candidate evaluation within a closed‑loop, reward‑driven framework, using a predictive model as a simulation environment for low‑cost, dense feedback. The system achieves a 56.7% conversion of failed protocols to predicted successes, with a 7.4% average success probability increase at a negligible cost, and its redesign patterns align with real‑world expert changes.

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