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AstraZeneca develops LLM-powered Research Assistant for biomedical R&D

AstraZeneca has developed an internal LLM-based system called Research Assistant to aid scientists and clinicians in exploring biomedical data. This system offers a chat interface that integrates information from scientific literature, knowledge graphs, chemistry, clinical trials, safety data, and internal experimental systems. It supports both quick question answering and more complex multi-step research tasks, with responses grounded in retrieved evidence and linked to original sources for user verification. AI

IMPACT This system could streamline biomedical research by providing scientists with a unified interface to access and analyze diverse data sources.

RANK_REASON The item describes a research paper detailing an internal LLM system developed by a company. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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AstraZeneca develops LLM-powered Research Assistant for biomedical R&D

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Piotr Grabowski, Mohamed Alameen, Jorge Bretones, Sabina Cardell, Miguel Carmona, Gavin Edwards, Ben Grainger, Sameh Hassan, Erik Jansson, Artur Kuziakhmetov, Albert Maristany, Hebatallah Mohamed, Andriy Nikolov, Sebastian Nilsson, Mark O'Donoghue, James… ·

    Research Assistant: AstraZeneca's Agentic System for R&D

    arXiv:2608.12395v1 Announce Type: new Abstract: 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 th…