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Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.
Howard, Alex; Reza, Nada; Aston, Stephen; Woods, Beth; Gerada, Alessandro; Buchan, Iain; Hope, William; Märtson, Anne-Grete.
Afiliación
  • Howard A; Department of Antimicrobial Pharmacodynamics and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK; Department of Infection and Immunity, Liverpool Clinical Laboratories, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool
  • Reza N; Department of Antimicrobial Pharmacodynamics and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
  • Aston S; Department of Antimicrobial Pharmacodynamics and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
  • Woods B; Centre for Health Economics, University of York, Heslington, York, UK.
  • Gerada A; Department of Antimicrobial Pharmacodynamics and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK; Department of Infection and Immunity, Liverpool Clinical Laboratories, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool
  • Buchan I; Department of Public Health, Policy & Systems, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Hope W; Department of Antimicrobial Pharmacodynamics and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK; Department of Infection and Immunity, Liverpool Clinical Laboratories, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool
  • Märtson AG; Department of Antimicrobial Pharmacodynamics and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Lancet Infect Dis ; 24(1): e47-e58, 2024 Jan.
Article en En | MEDLINE | ID: mdl-37660712

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Antiinfecciosos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Lancet Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Antiinfecciosos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Lancet Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2024 Tipo del documento: Article