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. |
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| 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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