Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium.
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| Title: | Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium. |
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| Authors: | Tran TA; The Department of Medicine, University of Cambridge, Cambridge, UK.; Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.; Nuffield Department of Medicine, University of Oxford, Oxford, UK., Sridhar S; The Department of Medicine, University of Cambridge, Cambridge, UK.; The Wellcome Sanger Institute, Hinxton, Cambridge, UK., Reece ST; The Department of Medicine, University of Cambridge, Cambridge, UK.; Sanofi, Kymab, Babraham Research Campus, Cambridge, UK., Lunguya O; Department of Microbiology, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo.; Service de Microbiologie, Cliniques Universitaires de Kinshasa, Kinshasa, Democratic Republic of Congo., Jacobs J; Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.; Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium., Van Puyvelde S; The Department of Medicine, University of Cambridge, Cambridge, UK.; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium., Marks F; The Department of Medicine, University of Cambridge, Cambridge, UK.; International Vaccine Institute, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.; Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany.; Madagascar Institute for Vaccine Research, University of Antananarivo, Antananarivo, Madagascar., Dougan G; The Department of Medicine, University of Cambridge, Cambridge, UK., Thomson NR; The Wellcome Sanger Institute, Hinxton, Cambridge, UK.; London School of Hygiene and Tropical Medicine, London, UK., Nguyen BT; Faculty of Mathematics and Computer Science, University of Science, Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam., Bao PT; Information Science Faculty, Saigon University, Ho Chi Minh City, Vietnam., Baker S; The Department of Medicine, University of Cambridge, Cambridge, UK. sgb47@cam.ac.uk.; IAVI, Chelsea and Westminster Hospital, London, UK. sgb47@cam.ac.uk. |
| Source: | Nature communications [Nat Commun] 2024 Jun 13; Vol. 15 (1), pp. 5074. Date of Electronic Publication: 2024 Jun 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-024-49433-4 |
