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Author

Sahar Kadhum Abbas

1 paper indexed here

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Open access Sep 2026

A Machine Learning Framework for Predicting Antimicrobial Resistance Genes from Bacterial Whole-Genome Sequencing Data: A Comparative Bioinformatics Analysis

Background:Antimicrobial resistance (AMR) poses an important challenge to public health on a global scale, with traditional methods of susceptibility testing not sufficiently fast to allow empirical treatment or surveillance. Whole-genome sequencing (WGS) coupled with machine learning (ML) offers a promising, genome-sc...

GA Al-Oudah, Nada Khazal K. Hindi, I. Abdul-Husin et al. · 0 citations

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