Quantify unmet medical need across the disease landscape - A large language model-based methodology.

Sharp EW, Fragola N, Blewitt C, Goddeeris M, Lancashire L, Hempstead C, Fajgenbaum DC

Open source

DOI
10.1371/journal.pmed.1004798
Published
2026 Mar
Container
PLoS medicine
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1371/journal.pmed.1004798,
  title = {Quantify unmet medical need across the disease landscape - A large language model-based methodology.},
  author = {Sharp EW and Fragola N and Blewitt C and Goddeeris M and Lancashire L and Hempstead C and Fajgenbaum DC},
  year = {2026},
  journal = {PLoS medicine},
  doi = {10.1371/journal.pmed.1004798},
  url = {https://doi.org/10.1371/journal.pmed.1004798}
}

RIS

TY  - JOUR
TI  - Quantify unmet medical need across the disease landscape - A large language model-based methodology.
AU  - Sharp EW
AU  - Fragola N
AU  - Blewitt C
AU  - Goddeeris M
AU  - Lancashire L
AU  - Hempstead C
AU  - Fajgenbaum DC
PY  - 2026
JO  - PLoS medicine
DO  - 10.1371/journal.pmed.1004798
UR  - https://doi.org/10.1371/journal.pmed.1004798
ER  - 

APA

EW, S., N, F., C, B., M, G., L, L., C, H., & DC, F. (2026). Quantify unmet medical need across the disease landscape - A large language model-based methodology.. PLoS medicine. https://doi.org/10.1371/journal.pmed.1004798

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