Bernardo-Castiñeira, CristóbalBou, GermánCampos, ManuelCánovas-Segura, BernardoFigueiras Gómez, SergioGómez-Rodríguez, CarlosMíguez-Rey, EnriqueVilares, Jesús2024-09-092024-09-092024Bernardo-Castiñeira, C., Bou, G., Campos, M., Cánovas-Segura, B., Gómez, S. F., Gómez-Rodríguez, C., ... & Vilares, J. (2023). GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence. CEUR Workshop Proceedings. Vol. 3729, Pages 100 – 105. Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations, SEPLN-CEDI-PD 2024, A Coruna, June 20241613-0073http://hdl.handle.net/2183/38926Included in Proceedings of the Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations (SEPLN-CEDI-PD 2024) co-located with the 7th Spanish Conference on Informatics (CEDI 2024) A Coruña, Spain, June 19-20, 2024.[Abstract]: The objective of GRALENIA project is to develop a multidisciplinary, comprehensive and interoperable platform incorporating artificial intelligence algorithms and natural language processing techniques to improve the management of antimicrobial resistance (AMR) and reduce the impact of antimicrobial- or antibiotic-resistant microorganisms (aka superbugs) in hospitals. GRALENIA is supported through a Red.es grant for research and development projects in artificial intelligence and other digital technologies and their integration into value chains.engAtribución 4.0 Internacional© 2024 Copyright for this paper by its authors.http://creativecommons.org/licenses/by/3.0/es/Antimicrobial resistanceArtificial intelligenceCloud servicesDeep learningHealthcareIndustrial research projectMachine learningNatural language processingSuperbugconference outputopen access