Article

A Multi-Criteria Decision Analysis-based Framework for Assessing and Prioritizing Antimicrobial Resistance Risks from Metagenomic Datasets

2025-10-09

Abstract excerpt

Metagenomic sequencing has greatly expanded our ability to detect and characterize resistance genes across diverse environments. However, translating the metagenomic findings into actionable clinical insights remains challenging. We developed a web-based tool that applies a Multi-Criteria Decision Analysis (MCDA) framework to metagenomic AMR datasets. The tool integrates gene abundance with risk attributes derived...

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Literature Corpus work: 9be8b145-d8b7-54a7-8fe8-2a9a18d31bec
DOI: 10.1101/2025.10.02.25336870

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