MedDiscover: A Domain-Specific Retrieval-Augmented Generation Framework for Evidence-Grounded Knowledge Extraction in Metabolomics.

Patel VP, Jolkver E, Schwerk A

DOI: 10.34133/csbj.0018
Published: 2026
Container: Computational and structural biotechnology journal
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.34133/csbj.0018,
  title = {MedDiscover: A Domain-Specific Retrieval-Augmented Generation Framework for Evidence-Grounded Knowledge Extraction in Metabolomics.},
  author = {Patel VP and Jolkver E and Schwerk A},
  year = {2026},
  journal = {Computational and structural biotechnology journal},
  doi = {10.34133/csbj.0018},
  url = {https://doi.org/10.34133/csbj.0018}
}

RIS

TY  - JOUR
TI  - MedDiscover: A Domain-Specific Retrieval-Augmented Generation Framework for Evidence-Grounded Knowledge Extraction in Metabolomics.
AU  - Patel VP
AU  - Jolkver E
AU  - Schwerk A
PY  - 2026
JO  - Computational and structural biotechnology journal
DO  - 10.34133/csbj.0018
UR  - https://doi.org/10.34133/csbj.0018
ER  -

APA

VP, P., E, J., & A, S. (2026). MedDiscover: A Domain-Specific Retrieval-Augmented Generation Framework for Evidence-Grounded Knowledge Extraction in Metabolomics.. Computational and structural biotechnology journal. https://doi.org/10.34133/csbj.0018

Source records

pubmed · retrieved 2026-09-25T04:03:34.196Z