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Article

Addressing challenges in agentic retrieval of structured data from biomedical databases

2026-04-29

Abstract excerpt

Biomedical research increasingly relies on expert-curated databases to connect diseases, genes, variants, phenotypes, pathways and therapeutics. Incomplete or irreproducible retrieval can distort interpretation, mechanistic inference, variant assessment or therapeutic prioritization despite an unchanged evidence base. Agentic natural-language-to-SQL (NL2SQL) systems and Model Context Protocol-enabled agents can au...

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Literature Corpus work
e3ac2947-ea07-52ff-afa5-4922a237f6b0
DOI
10.64898/2026.04.25.720782
Open publication

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Addressing challenges in agentic retrieval of structured data from biomedical databasesDOI 10.64898/2026.04.25.720782
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