Integrating artificial intelligence with genome sequencing against antimicrobial resistance: a narrative review

Antimicrobial resistance (AMR) represents an escalating global health threat, demanding diagnostic strategies capable of rapid, accurate, and comprehensive pathogen characterization. Genomic sequencing has transformed our ability to elucidate resistance mechanisms and track their evolution, yet its...

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Podrobná bibliografie

Hlavní autoři:	Giovanni Scaglione, Nicolò Mastroianni, Alberto Rizzo, Emanuele Palomba, Davide Carcione, Sara Giordana Rimoldi, Gioconda Brigante, Luigi Principe, Marta Colaneri, Andrea Gori, Fabio Borgonovo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-01-01
Edice:	Frontiers in Public Health
Témata:	antimicrobial resistance artificial intelligence diagnosis genome sequencing infection machine learning
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fpubh.2026.1757161/full
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