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Advancing antimicrobial resistance mitigation through artificial intelligence: A critical review and new perspectives on integrated monitoring and smart quaternary treatments of urban wastewater

delete2026-08-03
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OA
AI
A
Alessia Torboli
S
Stefano Cairone *
P
Paolo Roccaro
P
Paola Foladori
V
Vincenzo Naddeo
DOI:10.1016/j.watres.2026.126620delete
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Abstract

Abstract

En 中文
• Quaternary treatments of wastewater play a key role in mitigating AMR dissemination. • Fragmented and non-standardized datasets limit reliable AMR-risk assessment. • AI can support quaternary treatment optimization and resistome dynamics interpretation. • A roadmap for next-generation UWWTPs in the One Health perspective is proposed. • Multidisciplinary collaboration is needed to fully exploit the integration of AI.
Keywords:
Adaptive process control
Machine learning
Risk management
Smart monitoring
Wastewater resistome
Quaternary treatment optimization
Water safety

Journal

Water Research cover
Water Research
IF:
12.4
Papers:
3.0W
Citations:
15.7W

Organization

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Papers: 955
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U
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Papers: 820
Citations: 0
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