What does this research mean for the field?

Combining genomic, microbiological, and patient mobility data into a unified inference framework improves the identification of asymptomatic carriers of antimicrobial-resistant organisms and enables targeted isolation strategies that reduce hospital transmission more effectively than heuristic approaches. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

November 19, 2025Nature CommunicationsOpen Access

Inferring asymptomatic carriers of antimicrobial-resistant organisms in hospitals using genomic, microbiological and patient mobility data

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SPSen Pei DSDwayne Seeram SBSeth Blumberg

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Pei et al. (2025) studied this question.

synapsesocial.com/papers/6a1d404150ab1189c62f3236 https://doi.org/10.1038/s41467-025-65241-w

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November 19, 2025Nature CommunicationsOpen Access

Inferring asymptomatic carriers of antimicrobial-resistant organisms in hospitals using genomic, microbiological and patient mobility data

View Full Paper

Ask AI

Bookmark

Authors

SPSen Pei DSDwayne Seeram SBSeth Blumberg

Discussion

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Pei et al. (2025) studied this question.

synapsesocial.com/papers/6a1d404150ab1189c62f3236 https://doi.org/10.1038/s41467-025-65241-w

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