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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38871710 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tran+TA%22">Tran TA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Sridhar+S%22">Sridhar S</searchLink>; The Department of Medicine, University of Cambridge, Cambridge, UK.; The Wellcome Sanger Institute, Hinxton, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Reece+ST%22">Reece ST</searchLink>; The Department of Medicine, University of Cambridge, Cambridge, UK.; Sanofi, Kymab, Babraham Research Campus, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Lunguya+O%22">Lunguya O</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Jacobs+J%22">Jacobs J</searchLink>; Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.; Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.<br /><searchLink fieldCode="AU" term="%22Van+Puyvelde+S%22">Van Puyvelde S</searchLink>; The Department of Medicine, University of Cambridge, Cambridge, UK.; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.<br /><searchLink fieldCode="AU" term="%22Marks+F%22">Marks F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Dougan+G%22">Dougan G</searchLink>; The Department of Medicine, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Thomson+NR%22">Thomson NR</searchLink>; The Wellcome Sanger Institute, Hinxton, Cambridge, UK.; London School of Hygiene and Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Nguyen+BT%22">Nguyen BT</searchLink>; Faculty of Mathematics and Computer Science, University of Science, Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam.<br /><searchLink fieldCode="AU" term="%22Bao+PT%22">Bao PT</searchLink>; Information Science Faculty, Saigon University, Ho Chi Minh City, Vietnam.<br /><searchLink fieldCode="AU" term="%22Baker+S%22">Baker S</searchLink>; The Department of Medicine, University of Cambridge, Cambridge, UK. sgb47@cam.ac.uk.; IAVI, Chelsea and Westminster Hospital, London, UK. sgb47@cam.ac.uk. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2024 Jun 13; Vol. 15 (1), pp. 5074. <i>Date of Electronic Publication: </i>2024 Jun 13. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38871710 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41467-024-49433-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5074 Titles: – TitleFull: Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tran TA – PersonEntity: Name: NameFull: Sridhar S – PersonEntity: Name: NameFull: Reece ST – PersonEntity: Name: NameFull: Lunguya O – PersonEntity: Name: NameFull: Jacobs J – PersonEntity: Name: NameFull: Van Puyvelde S – PersonEntity: Name: NameFull: Marks F – PersonEntity: Name: NameFull: Dougan G – PersonEntity: Name: NameFull: Thomson NR – PersonEntity: Name: NameFull: Nguyen BT – PersonEntity: Name: NameFull: Bao PT – PersonEntity: Name: NameFull: Baker S IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 06 Text: 2024 Jun 13 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2041-1723 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Nature communications Type: main |
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