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

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Bibliographic Details
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
Description
ISSN:2168-4804
DOI:10.1007/s43441-025-00866-z