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This research demonstrates the integration of machine learning with high throughput digital PCR to enhance the detection accuracy of carbapenem-resistant genes in clinical isolates. A novel 5-plex PCR assay was developed, achieving a predictive performance accuracy of 99.6%, significantly improving upon traditional methods. The study highlights the potential of this methodology to streamline diagnostics and reduce costs in clinical microbiology settings.

Author
talha saleem
Language
EN

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