Research Assistant: AstraZeneca's Agentic System for R&D
How AstraZeneca is leveraging LLM-based agentic workflows to unify massive biomedical datasets for drug discovery.
We describe Research Assistant, an internal LLM-based system developed at AstraZeneca to help scientists and clinicians explore biomedical questions across a broad range of data sources. The system provides a chat-style interface that brings together evidence from scientific lite...
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AstraZeneca’s Research Assistant demonstrates how agentic systems can synthesize heterogeneous biomedical datasets to accelerate complex R&D decision-making. By grounding LLM outputs in verified internal and external sources, the platform reduces hallucination risks while significantly shortening the time required for cross-functional scientific inquiry.
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