Leveraging generative AI to assist biocuration of medical actions for rare disease

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf141
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.23

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article

Leveraging generative AI to assist biocuration of medical actions for rare disease

Chris Mungall, Hannah Blau, Sabrina Toro, Peter N. Robinson et al.
1 citations
Bioinformatics Advances
Biomedical Text Mining and Ontologies
0.23
article

Leveraging generative AI to assist biocuration of medical actions for rare disease

Chris Mungall, Hannah Blau, Sabrina Toro, Peter N. Robinson, J. Harry Caufield, Mauricio Soto, Patricia L. Whetzel, Michael Gargano, Melissa Haendel, Giorgio Valentini, Justin Reese, Elena Casiraghi, Leonardo Chimirri, Leigh Carmody, Enock Niyonkuru
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
University of North Carolina at Chapel Hill (US), Lawrence Berkeley National Laboratory (US), University of Milan (IT), Jackson Laboratory (US), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Hartford Financial Services (United States), Trinity College (US)
U.S. Department of Energy, Alexander von Humboldt-Stiftung, National Institutes of Health, Office of Science, Basic Energy Sciences
Openalex Percentile: Top 39%
Biomedical Text Mining and Ontologies
0.23
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Leveraging generative AI to assist biocuration of medical actions for rare disease — Chris Mungall, Hannah Blau, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS