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Neural text generation in regulatory medical writing

Background: A steep increase in new drug applications has increased the overhead of writing technical documents such as medication guides. Natural language processing can contribute to reducing this burden. Objective: To generate medication guides from texts that relate to prescription drug labeling...

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Detalles Bibliográficos
Autores principales: Meyer, Claudia, Adkins, Daniel, Pal, Koyena, Galici, Ruggero, Garcia-Agundez, Augusto, Eickhoff , Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950092/
https://www.ncbi.nlm.nih.gov/pubmed/36843925
http://dx.doi.org/10.3389/fphar.2023.1086913