A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis
Long diagnostic wait times hinder international efforts to address antibiotic resistance in M. tuberculosis. Pathogen whole genome sequencing, coupled with statistical and machine learning models, offers a promising solution. However, generalizability and clinical adoption have been limited by a lac...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Research
2022
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| Online Access: | View Fulltext in Publisher |