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SMAFIRA: a literature-based web tool to assist researchers with retrieval of 3R-relevant information.

Daniel ButzkeBettina BertKonrad GulichGilbert SchönfelderMariana Neves
Published in: Laboratory animals (2024)
The search for 3R-relevant information is a prerequisite for any planned experimental approach considering animal use. Such a literature search includes all methods to replace, reduce and refine (3Rs) animal testing with the aim of improving animal welfare, and requires an intensive screening of literature databases reflecting the current state of knowledge in experimental biomedicine. We developed SMAFIRA, a freely available online tool to facilitate the screening of PubMed/MEDLINE for possible alternatives to animal testing. SMAFIRA employs state-of-the-art language models from the field of deep learning, and provides relevant literature citations in a ranked order, classified according to the experimental model used. By using this classification, the search for alternative methods in the biomedical literature will become much more efficient. The tool is available at https://smafira.bf3r.de.
Keyphrases
  • systematic review
  • deep learning
  • machine learning
  • healthcare
  • autism spectrum disorder
  • big data