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Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning.
Dixit, Avika; Freschi, Luca; Vargas, Roger; Gröschel, Matthias I; Nakhoul, Maria; Tahseen, Sabira; Alam, S M Masud; Kamal, S M Mostofa; Skrahina, Alena; Basilio, Ramon P; Lim, Dodge R; Ismail, Nazir; Farhat, Maha R.
Afiliação
  • Dixit A; Division of Infectious Diseases, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Freschi L; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Vargas R; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Gröschel MI; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Nakhoul M; Center for Computational Biomedicine, Harvard Medical School, Boston, Massachusetts, USA.
  • Tahseen S; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Alam SMM; Informatics and Analytics Department, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Kamal SMM; National Tuberculosis Control Programme, Islamabad, Pakistan.
  • Skrahina A; Ministry of Health and Family Welfare, Kolkata, West Bengal, India.
  • Basilio RP; National Institute of Diseases of the Chest and Hospital, Dhaka, Bangladesh.
  • Lim DR; Republican Scientific and Practical Center for Pulmonology and Tuberculosis, Minsk, Belarus.
  • Ismail N; Research Institute for Tropical Medicine, Muntinlupa City, Philippines.
  • Farhat MR; Research Institute for Tropical Medicine, Muntinlupa City, Philippines.
BMJ Glob Health ; 9(3)2024 Mar 28.
Article em En | MEDLINE | ID: mdl-38548342
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose Resistente a Múltiplos Medicamentos / Antituberculosos Limite: Humans Idioma: En Revista: BMJ Glob Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose Resistente a Múltiplos Medicamentos / Antituberculosos Limite: Humans Idioma: En Revista: BMJ Glob Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos