Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning.
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| Title: | Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning. |
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| Authors: | Dixit A; Division of Infectious Diseases, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.; Department of Biomedical Informatics, Harvard Medical School, 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.; Center for Computational Biomedicine, Harvard Medical School, Boston, Massachusetts, USA., Gröschel MI; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA., Nakhoul M; Informatics and Analytics Department, Dana-Farber Cancer Institute, Boston, Massachusetts, USA., Tahseen S; National Tuberculosis Control Programme, Islamabad, Pakistan., Alam SMM; Ministry of Health and Family Welfare, Kolkata, West Bengal, India., Kamal SMM; National Institute of Diseases of the Chest and Hospital, Dhaka, Bangladesh., Skrahina A; Republican Scientific and Practical Center for Pulmonology and Tuberculosis, Minsk, Belarus., Basilio RP; Research Institute for Tropical Medicine, Muntinlupa City, Philippines., Lim DR; Research Institute for Tropical Medicine, Muntinlupa City, Philippines., Ismail N; Clinical Microbiology and Infectious Diseases, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa., Farhat MR; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA Maha_Farhat@hms.harvard.edu.; Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA. |
| Source: | BMJ global health [BMJ Glob Health] 2024 Mar 28; Vol. 9 (3). Date of Electronic Publication: 2024 Mar 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101685275 Publication Model: Electronic Cited Medium: Print ISSN: 2059-7908 (Print) Linking ISSN: 20597908 NLM ISO Abbreviation: BMJ Glob Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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