Author

Javier Sanz-Cruzado

University of GlasgowORCID 0000-0002-7829-5174Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:large language model· 1 Research Focus:software / tool· 1

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Adam C. CoffmaniD· 1 shared Alex Wagner· 1 shared Arpad M. DanosiD· 1 shared Jake LeveriD· 1 shared Jason SalibaiD· 1 shared Jennie X Yao· 1 shared Jinglun Li· 1 shared Joshua F. McMichaeliD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Adam C. CoffmanORCID

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1 paper

Recent·Most cited

Cancer BiologyBioinformatics AdvancesPeer-reviewedJan 1, 2026

CIViC MCP: Integrating Large Language Models with the Clinical Interpretations of Variants in Cancer

Lars E. Schimmelpfennig, Quentin Cody, Joshua F. McMichael…·Obi L. Griffith

The paper introduces CIViC MCP, a system that uses large language models to interface with the CIViC knowledgebase, enabling natural language queries for cancer variant interpretations.

DOI 10.1093/bioadv/vbag209

deep learninglarge language model