A MachineLearning method speeds AntimicrobialResistance determination to help tailor treatment decisions. ArtificialIntelligence ML kmborgwardt UniSpitalBasel AMRawarenessweek WAAW2022
The authors thank O. Grüninger, J. Reist, Y. Mahiddine, D. Lang, C. Straub and M. Schneider for excellent technical assistance in accessing the mass spectra and antimicrobial resistance data at the University Hospital Basel; and B. Rodríguez-Sánchez , H. Seth-Smith , C. Kaufmann , and V. Pflüger for valuable advice, technical consultation and feedback throughout the project. The authors also thank X. He for fruitful discussions, and D.
Mobility fellowship by the Swiss National Science Foundation . This study received ethics approval through the local ethics review board .Authors and AffiliationsCaroline Weis, Bastian Rieck & Karsten BorgwardtCaroline Weis, Bastian Rieck & Karsten BorgwardtAline Cuénod, Kirstine K. Søgaard & Adrian EgliAline Cuénod, Kirstine K.
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