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Ciprofloxacin

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Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning.

Scientific reports
It is important that antibiotics prescriptions are based on antimicrobial susceptibility data to ensure effective treatment outcomes. The increasing availability of next-generation sequencing, bacterial whole genome sequencing (WGS) can facilitate a ...

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.

Bioinformatics (Oxford, England)
MOTIVATION: Correct and rapid determination of Mycobacterium tuberculosis (MTB) resistance against available tuberculosis (TB) drugs is essential for the control and management of TB. Conventional molecular diagnostic test assumes that the presence o...

[Effect of Inherent Immunity Factors of Development of Antibiotic Tolerance and Survival of Bacterial Populations under Antibiotic Attack].

Mikrobiologiia
Effect of human inherent immunity factors of, a gene-encoded antibacterial peptide indolicidin (Ind) and a cytokine interleukin 1 (IL1) on formation of antibiotic-tolerant persister cells surviving in the presence of ciprofloxacin (Cpf, 100 μg/mL) an...