Leveraging artificial intelligence to combat antimicrobial resistance in geriatric care.

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Title: Leveraging artificial intelligence to combat antimicrobial resistance in geriatric care.
Authors: Othman ZK; Department of Pharmacy, Kurdistan Technical Institute, Sulaymaniyah, Kurdistan Region, Iraq., Ahmed MM; Faculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Somalia., Adebisi YA; College of Social Sciences, University of Glasgow, Glasgow, UK., Okesanya OJ; Faculty of Medicine, Department of Public Health and Maritime Transport, University of Thessaly, Volos, Greece., Oziama BA; Pharmacy Department, National Defence College Clinic, Abuja, Nigeria., Ezedigwe SG; Department of Pharmaceutical Services, University College Hospital, Ibadan, Nigeria., Musa SS; School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand., Marouf BH; Department of Pharmacology and Toxicology, College of Pharmacy, University of Sulaimani, Sulaimani, Kurdistan Region, Iraq., Lucero-Prisno DE 3rd; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.; Center for Research and Development, Cebu Normal University, Cebu, Philippines.; Center for University Research, University of Makati, Makati City, Philippines.
Source: Digital health [Digit Health] 2025 May 29; Vol. 11, pp. 20552076251346612. Date of Electronic Publication: 2025 May 29 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2055-2076
DOI:10.1177/20552076251346612