From Idea to Data: An Agentic Architecture for the Clinical Trial Life Cycle

Clinical research involves complex, fragmented workflows across the clinical trial life cycle. We present a multi-agent system designed to support researchers across multiple stages of this life cycle, from trial preparation to translation. The proposed system uses a coordinated multi-agent architecture together with multiple large language models (LLMs) to provide task-dependent support across clinical research workflows. This work introduces a structured agentic AI approach and provides a foundation to manage the growing complexity of clinical trial workflows.