Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen health care settings.

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Bibliographic Details
Title: Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen health care settings.
Authors: Duroux D; ETH AI Center, ETH Zurich, Andreasstrasse 5, 8092, Zurich, Switzerland.; Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, 4056, Basel, Switzerland.; Department of Quantitative Biomedicine, University of Zurich, Schmelzbergstrasse 26, 8006, Zurich, Switzerland.; SIB Swiss Institute of Bioinformatics, Quartier UNIL-Sorge, 1015, Lausanne, Switzerland., Meyer PP; Department of Mechanical and Process Engineering, ETH Zurich, Tannenstrasse 3, 8092, Zurich, Switzerland., Visonà G; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, 72076, Tübingen, Germany., Beerenwinkel N; Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, 4056, Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Quartier UNIL-Sorge, 1015, Lausanne, Switzerland.
Source: GigaScience [Gigascience] 2026 Jan 21; Vol. 15.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 101596872 Publication Model: Print Cited Medium: Internet ISSN: 2047-217X (Electronic) Linking ISSN: 2047217X NLM ISO Abbreviation: Gigascience Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2047-217X
DOI:10.1093/gigascience/giaf156