Article

Deep Learning and Single Cell Phenotyping for Rapid Antimicrobial Susceptibility Testing

2022-12-09

Abstract excerpt

The rise of antimicrobial resistance (AMR) is one of the greatest public health challenges, already causing up to 1.2 million deaths annually and rising. Current gold-standard antimicrobial susceptibility tests (ASTs) are low-throughput and can take up to 48 hours, with implications for patient care. We present advances towards a novel, rapid AST, based on the deep-learning of single-cell specific phenotypes direc...

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Literature Corpus work: d13d1bf8-4574-5360-96d4-7fa43ead20ee
DOI: 10.1101/2022.12.08.22283219

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