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Machine Learning in Tuberculosis Research: A Global Bibliometric Analysis of Diagnostic, Prognostic, and Drug Discovery Trends.

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Title: Machine Learning in Tuberculosis Research: A Global Bibliometric Analysis of Diagnostic, Prognostic, and Drug Discovery Trends.
Authors: Abdelwahab SI; Health Research Centre, Jazan University, Jazan, Saudi Arabia. sadiqa@jazanu.edu.sa., Taha MME; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Mathkour H; Health Research Centre, Jazan University, Jazan, Saudi Arabia., Alamer E; Health Research Centre, Jazan University, Jazan, Saudi Arabia.; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Abdullah SM; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Alshahrani S; Department of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, Saudi Arabia., Farasani AM; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Alamer AS; Department of Health Education and Promotion, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Moshi JM; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Sahli KA; Security Forces Hospitals Program, General Directorate of Medical Services, Ministry of Interior, Riyadh, Saudi Arabia., Jeraiby M; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Khamjan NA; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia., Binjomah A; College of Medicine, Alfaisal University, Riyadh, Kingdom of Saudi Arabia.; Public Health Authority, Riyadh, Kingdom of Saudi Arabia.
Source: Therapeutic innovation & regulatory science [Ther Innov Regul Sci] 2026 Jan; Vol. 60 (1), pp. 161-171. Date of Electronic Publication: 2025 Aug 21.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101597411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-4804 (Electronic) Linking ISSN: 21684790 NLM ISO Abbreviation: Ther Innov Regul Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine Learning in Tuberculosis Research: A Global Bibliometric Analysis of Diagnostic, Prognostic, and Drug Discovery Trends.
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  Data: <searchLink fieldCode="AU" term="%22Abdelwahab+SI%22">Abdelwahab SI</searchLink>; Health Research Centre, Jazan University, Jazan, Saudi Arabia. sadiqa@jazanu.edu.sa.<br /><searchLink fieldCode="AU" term="%22Taha+MME%22">Taha MME</searchLink>; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Mathkour+H%22">Mathkour H</searchLink>; Health Research Centre, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alamer+E%22">Alamer E</searchLink>; Health Research Centre, Jazan University, Jazan, Saudi Arabia.; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abdullah+SM%22">Abdullah SM</searchLink>; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alshahrani+S%22">Alshahrani S</searchLink>; Department of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Farasani+AM%22">Farasani AM</searchLink>; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alamer+AS%22">Alamer AS</searchLink>; Department of Health Education and Promotion, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Moshi+JM%22">Moshi JM</searchLink>; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Sahli+KA%22">Sahli KA</searchLink>; Security Forces Hospitals Program, General Directorate of Medical Services, Ministry of Interior, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Jeraiby+M%22">Jeraiby M</searchLink>; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Khamjan+NA%22">Khamjan NA</searchLink>; Department of Applied Medical Laboratories, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Binjomah+A%22">Binjomah A</searchLink>; College of Medicine, Alfaisal University, Riyadh, Kingdom of Saudi Arabia.; Public Health Authority, Riyadh, Kingdom of Saudi Arabia.
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  Data: <searchLink fieldCode="JN" term="%22101597411%22">Therapeutic innovation & regulatory science</searchLink> [Ther Innov Regul Sci] 2026 Jan; Vol. 60 (1), pp. 161-171. <i>Date of Electronic Publication: </i>2025 Aug 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International+Publishing%22">Springer International Publishing </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101597411 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2168-4804 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221684790%22">21684790 </searchLink><i>NLM ISO Abbreviation: </i>Ther Innov Regul Sci <i>Subsets: </i>MEDLINE
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              Text: 2026 Jan
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