Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences

Article Biochemical Research Methods

Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning

Yunxiao Ren et al.

Summary: This study evaluated logistic regression, support vector machine, random forest, and convolutional neural network for predicting antimicrobial resistance, demonstrating that random forests and convolutional neural networks generally outperform logistic regression and support vector machine in predicting antimicrobial resistance with high accuracy.

BIOINFORMATICS (2022)

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Article Medicine, General & Internal

Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis

Christopher J. L. Murray et al.

Summary: Antimicrobial resistance (AMR) poses a significant threat to global human health, and this study provides the most comprehensive estimates of AMR burden to date. By estimating deaths and disability-adjusted life-years (DALYs) associated with bacterial AMR in 204 countries and territories in 2019, the study highlights the impact of resistance and the leading pathogen-drug combinations contributing to it.

LANCET (2022)

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Article Multidisciplinary Sciences

Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections

Mathew Stracy et al.

Summary: Currently, the treatment of bacterial infections focuses on choosing antibiotics based on the susceptibility of the pathogen, but there is less attention given to the risk of treatment-induced resistance. By using genomic sequencing and machine learning analysis, it is possible to predict and minimize the emergence of resistance at the individual-patient level.

SCIENCE (2022)

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Review Microbiology

Applications of Machine Learning to the Problem of Antimicrobial Resistance: an Emerging Model for Translational Research

Melis N. Anahtar et al.

Summary: Machine learning in predicting antimicrobial resistance, understanding cellular functions disrupted by antibiotics, and antimicrobial stewardship has shown increasing potential and become a challenging phenomenon in modern medicine. Although still in its infancy, the continued growth of data and interest ensures that it will become an important tool for future translational research programs.

JOURNAL OF CLINICAL MICROBIOLOGY (2021)

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Article Infectious Diseases