Health security at genomic artificial intelligence-antimicrobial resistance frontiers in low-income countries.

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Bibliographic Details
Title: Health security at genomic artificial intelligence-antimicrobial resistance frontiers in low-income countries.
Authors: Aruhomukama D; Department of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, 7072, Uganda; Department of Global Health Security, Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, 7072, Uganda. Electronic address: dickson.aruhomukama@mak.ac.ug., Byonanebye DM; Department of Global Health Security, Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, 7072, Uganda; School of Public Health, College of Health Sciences, Makerere University, Kampala, 7072, Uganda., Kakooza F; Department of Global Health Security, Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, 7072, Uganda.
Source: The Lancet. Microbe [Lancet Microbe] 2026 Feb; Vol. 7 (2), pp. 101282. Date of Electronic Publication: 2025 Nov 07.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101769019 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-5247 (Electronic) Linking ISSN: 26665247 NLM ISO Abbreviation: Lancet Microbe Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2666-5247
DOI:10.1016/j.lanmic.2025.101282