Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38128
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Perspective: large language models and antimicrobial resistance among migrants: an equity imperative
Author(s): Choi, Ji Soo
Pan, Daniel
O’Hare, Anthony
Moore, Catrin E
Fouad, Fouad
Pareek, Manish
Infection Innovation Consortium Interdisciplinary Antimicrobial Resistance Network,
Hoyle, Andrew
Abernethy, Gavin
Powers, Simon
Contact Email: anthony.ohare@stir.ac.uk
Issue Date: 14-May-2026
Date Deposited: 2-Jun-2026
Citation: Choi JS, Pan D, O’Hare A, Moore CE, Fouad F, Pareek M, Infection Innovation Consortium Interdisciplinary Antimicrobial Resistance Network, Hoyle A, Abernethy G & Powers S (2026) Perspective: large language models and antimicrobial resistance among migrants: an equity imperative. <i>npj Digital Medicine</i>. https://doi.org/10.1038/s41746-026-02742-y
Abstract: Despite progress in antimicrobial resistance (AMR) surveillance, migrants and ethnic minorities, who bear disproportionate AMR burdens, remain underrepresented in programmes. Digital health is common, but we found no interventions using large language models (LLMs) to reduce AMR in these communities. In three workshops, we identified priorities: culturally and linguistically inclusive design; context specific knowledge from community settings; and trust building via community health workers, with data protection and bias mitigation.
DOI Link: 10.1038/s41746-026-02742-y
Rights: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Notes: Infection Innovation Consortium Interdisciplinary Antimicrobial Resistance Network consists of: Bethan V. Purse, Dom Brass, Catrin E. Moore, Timothy Rawson, Laura B. Nellums, Fouad Fouad, Susanne Lynch, Gill Damont, Greg Barton, Lu Lu, Sophie Jung, Amani Al-Oraibi, Daniel Pan, Ji Soo Choi, Mi Joo Choi, Carolyn Tarrant, Manish Pareek, Katherine Stott, Neil Henney, Rachel Mullen, Suzanne Cutler, Andrew Hoyle, Anthony O’Hare, Gavin Abernethy, Simon Powers & Mina Mohaghegh
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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