Innovative roadmaps for sustainable antimicrobial resistance interventions.

Authors

Gianmarco Gasperini, Silvia Rossi Paccani, Karen O'Dwyer, David M Aanensen, Darius Armstrong-James, Francesco Berlanda Scorza, David E Bloom, Christopher J Burns, Madalina Elena Carter-Timofte, Felipe J Colón-González, Shampa Das, Michael N Dudley, Philippe Denoel, Gordon Dougan, Erin M Duffy, Alison Holmes, Anders Karlén, Neil Pearson, Rosanna Ŵ Peeling, Jesus Rodriguez-Manzano, J P Sevilla, Shiranee Sriskandan, Sumithra Subramaniam, Herbert W Virgin, Rino Rappuoli, David Payne, Ennio De Gregorio

Published in

Science translational medicine. Volume 18. Issue 871. Pages eaef8416. Oct 14, 2026. Epub Oct 14, 2026.

Abstract

Integrated strategies to combat antibiotic-resistant bacteria and fungi require innovative commercial models, new discovery platforms, standardized genomic surveillance, and streamlined clinical trials. Machine learning and other new technologies will accelerate the development of diagnostics and therapeutics (small molecules, antibodies, and vaccines) to combat antimicrobial resistance. Next-generation approaches should align societal impact with investment to ensure rapid global public health gains.

PMID:
42873894
Bibliographic data and abstract were imported from PubMed on 15 Oct 2026.

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