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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. 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.

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

Journal
npj Digital Medicine

• Published Version