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Article

Perspective: large language models and antimicrobial resistance among migrants: an equity imperative

Details

Citation

Choi JS, Pan D, O¡¯Hare A, Moore CE, Fouad F, Pareek M, On behalf of the Infection Innovation Consortium Interdisciplinary Antimicrobial Resistance Network, Purse BV, Brass D, Rawson T, Nellums LB, Lynch S, Damont G, Barton G, Lu L, Jung S, Al-Oraibi A, Pan D, Choi JS, Choi MJ, Tarrant C, Pareek M, Stott K, Henney N, Mullen R, Cutler S, Hoyle A, Abernethy G, Powers S & Mohaghegh M (2026) Perspective: large language models and antimicrobial resistance among migrants: an equity imperative. npj Digital Medicine. 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.

Journal
npj Digital Medicine

StatusEarly Online
Publication date online31/05/2026
Date accepted by journal02/05/2026
PublisherSpringer Science and Business Media LLC
ISSN2398-6352
eISSN2398-6352

People (4)

Dr Gavin Abernethy

Dr Gavin Abernethy

Lecturer in Mathematics, Computing Science

Dr Andrew Hoyle

Dr Andrew Hoyle

Senior Lecturer, Mathematics

Dr Anthony O'Hare

Dr Anthony O'Hare

Senior Lecturer, Mathematics

Dr Simon Powers

Dr Simon Powers

Lecturer in Trustworthy Computer Systems, Computing Science