Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design.
- DOI
- 10.1007/s11095-026-04190-5
- Published
- 2026 Sep 11
- Container
- Pharmaceutical research
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s11095-026-04190-5,
title = {Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design.},
author = {Zhang X and Heckmann NS and Del Castillo Suero M and Speca FP and Sessa M},
year = {2026},
journal = {Pharmaceutical research},
doi = {10.1007/s11095-026-04190-5},
url = {https://doi.org/10.1007/s11095-026-04190-5}
}RIS
TY - JOUR TI - Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design. AU - Zhang X AU - Heckmann NS AU - Del Castillo Suero M AU - Speca FP AU - Sessa M PY - 2026 JO - Pharmaceutical research DO - 10.1007/s11095-026-04190-5 UR - https://doi.org/10.1007/s11095-026-04190-5 ER -
APA
X, Z., NS, H., M, D. C. S., FP, S., & M, S. (2026). Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design.. Pharmaceutical research. https://doi.org/10.1007/s11095-026-04190-5
Source records
- pubmed · retrieved 2026-09-25T05:52:37.259Z