Harnessing machine learning to predict antibiotic susceptibility in Pseudomonas aeruginosa biofilms.
Saved in:
| Title: | Harnessing machine learning to predict antibiotic susceptibility in Pseudomonas aeruginosa biofilms. |
|---|---|
| Authors: | Vergauwe F; Laboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium., De Waele G; Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium., Sass A; Laboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium., Highmore C; School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.; National Biofilms Innovation Centre (NBIC) and Institute for Life Sciences, University of Southampton, Southampton, UK.; NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Hanrahan N; Institute for Life Sciences, University of Southampton, Southampton, UK.; School of Chemistry and Chemical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.; NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Cook Y; Institute for Life Sciences, University of Southampton, Southampton, UK.; School of Chemistry and Chemical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.; NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Lichtenberg M; Costerton Biofilm Center, University of Copenhagen, Copenhagen, Denmark., Cnockaert M; Laboratory of Microbiology, Ghent University, Ghent, Belgium., Vandamme P; Laboratory of Microbiology, Ghent University, Ghent, Belgium., Mahajan S; Institute for Life Sciences, University of Southampton, Southampton, UK.; School of Chemistry and Chemical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.; NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Webb JS; School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.; National Biofilms Innovation Centre (NBIC) and Institute for Life Sciences, University of Southampton, Southampton, UK.; NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Van Nieuwerburgh F; Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium., Bjarnsholt T; Costerton Biofilm Center, University of Copenhagen, Copenhagen, Denmark.; Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Waegeman W; Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium., Coenye T; Laboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium. Tom.Coenye@UGent.be. |
| Source: | NPJ biofilms and microbiomes [NPJ Biofilms Microbiomes] 2025 Nov 10; Vol. 11 (1), pp. 205. Date of Electronic Publication: 2025 Nov 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: United States NLM ID: 101666944 Publication Model: Electronic Cited Medium: Internet ISSN: 2055-5008 (Electronic) Linking ISSN: 20555008 NLM ISO Abbreviation: NPJ Biofilms Microbiomes Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2055-5008 |
|---|---|
| DOI: | 10.1038/s41522-025-00833-4 |
