Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections.

Kolben, Yotam; Azmanov, Henny; Gelman, Ram; Dror, Danna; Ilan, Yaron

Kolben, Yotam; Azmanov, Henny; Gelman, Ram; Dror, Danna; Ilan, Yaron.

Afiliação

Kolben Y; Department of Medicine, Faculty of Medicine, Hadassah Medical Center, Hebrew University, Jerusalem, Israel.
Azmanov H; Department of Medicine, Faculty of Medicine, Hadassah Medical Center, Hebrew University, Jerusalem, Israel.
Gelman R; Department of Medicine, Faculty of Medicine, Hadassah Medical Center, Hebrew University, Jerusalem, Israel.
Dror D; Department of Clinical Microbiology and Infectious Diseases, Faculty of Medicine, Hadassah Medical Center, Hebrew University, Jerusalem, Israel.
Ilan Y; Department of Medicine, Faculty of Medicine, Hadassah Medical Center, Hebrew University, Jerusalem, Israel.

Ann Med ; 55(1): 311-318, 2023 12.

Article em En | MEDLINE | ID: mdl-36594558

Assuntos

Anti-Infecciosos; Inteligência Artificial; Humanos; Infecção Persistente; Anti-Infecciosos/farmacologia; Anti-Infecciosos/uso terapêutico; Resistência Microbiana a Medicamentos

Palavras-chave

Digital health; chronic infections; chronobiology; drug resistance

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Anti-Infecciosos Limite: Humans Idioma: En Revista: Ann Med Ano de publicação: 2023 Tipo de documento: Article

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