Benchmarking large language models for extracting biobank-derived insights into health and disease

Manuel Corpas, Alfredo Iacoangeli

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DOI: 10.1371/journal.pcbi.1014224
Published: 2026-04-20
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014224,
  title = {Benchmarking large language models for extracting biobank-derived insights into health and disease},
  author = {Manuel Corpas and Alfredo Iacoangeli},
  year = {2026},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1014224},
  url = {https://doi.org/10.1371/journal.pcbi.1014224}
}

RIS

TY  - JOUR
TI  - Benchmarking large language models for extracting biobank-derived insights into health and disease
AU  - Manuel Corpas
AU  - Alfredo Iacoangeli
PY  - 2026
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1014224
UR  - https://doi.org/10.1371/journal.pcbi.1014224
ER  -

APA

Corpas, M., & Iacoangeli, A. (2026). Benchmarking large language models for extracting biobank-derived insights into health and disease. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014224

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crossref · retrieved 2026-09-25T12:19:04.916Z