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Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis.

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Title: Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis.
Authors: Kulkarni SG; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Laurent S; Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland., Miotto P; IRCCS San Raffaele Scientific Institute, Milano, Italy., Walker TM; Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam., Chindelevitch L; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK., Nathanson CM; Global Tuberculosis Programme, World Health Organization (WHO), Geneva, Switzerland., Ismail N; Global Tuberculosis Programme, World Health Organization (WHO), Geneva, Switzerland.; Department of Clinical Microbiology and Infectious Diseases, University of the Witwatersrand, Johannesburg, South Africa., Rodwell TC; Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.; Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, CA, USA., Farhat MR; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. maha_farhat@hms.harvard.edu.; Division of Pulmonary & Critical Care, Massachusetts General Hospital, Boston, MA, USA. maha_farhat@hms.harvard.edu.
Source: Nature communications [Nat Commun] 2025 Mar 04; Vol. 16 (1), pp. 2149. Date of Electronic Publication: 2025 Mar 04.
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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  Data: <searchLink fieldCode="AU" term="%22Kulkarni+SG%22">Kulkarni SG</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Laurent+S%22">Laurent S</searchLink>; Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Miotto+P%22">Miotto P</searchLink>; IRCCS San Raffaele Scientific Institute, Milano, Italy.<br /><searchLink fieldCode="AU" term="%22Walker+TM%22">Walker TM</searchLink>; Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.<br /><searchLink fieldCode="AU" term="%22Chindelevitch+L%22">Chindelevitch L</searchLink>; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Nathanson+CM%22">Nathanson CM</searchLink>; Global Tuberculosis Programme, World Health Organization (WHO), Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Ismail+N%22">Ismail N</searchLink>; Global Tuberculosis Programme, World Health Organization (WHO), Geneva, Switzerland.; Department of Clinical Microbiology and Infectious Diseases, University of the Witwatersrand, Johannesburg, South Africa.<br /><searchLink fieldCode="AU" term="%22Rodwell+TC%22">Rodwell TC</searchLink>; Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.; Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, CA, USA.<br /><searchLink fieldCode="AU" term="%22Farhat+MR%22">Farhat MR</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. maha_farhat@hms.harvard.edu.; Division of Pulmonary & Critical Care, Massachusetts General Hospital, Boston, MA, USA. maha_farhat@hms.harvard.edu.
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              Text: 2025 Mar 04
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