Category Agreement | List of Frontiers open access articles

Original Research

Published on 02 Mar 2022

A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data

in Antimicrobials, Resistance and Chemotherapy

Shuyi Wang
Chunjiang Zhao
Yuyao Yin
Fengning Chen
Hongbin Chen
Hui Wang

Frontiers in Microbiology

doi 10.3389/fmicb.2022.841289

9,912 views
52 citations

Original Research

Published on 02 Mar 2023

Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci

in Antimicrobials, Resistance and Chemotherapy

Helle Brander Eriksen
Kurt Fuursted
Anders Jensen
Christian Salgård Jensen
Xiaohui Nielsen
Jens Jørgen Christensen
Patricia Shewmaker
Ana Rita Rebelo
Frank Møller Aarestrup
Kristian Schønning

Frontiers in Microbiology

doi 10.3389/fmicb.2023.1120023

4,151 views
4 citations

Original Research

Published on 02 May 2023

Rapid automated antifungal susceptibility testing system for yeasts based on growth characteristics

in Clinical and Diagnostic Microbiology and Immunology

Jinhan Yu
Chun He
Tong Wang
Ge Zhang
Jin Li
Jingjia Zhang
Wei Kang
Yingchun Xu
Ying Zhao

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2023.1153544

5,167 views
2 citations

Original Research

Published on 11 Jan 2024

Machine learning and feature extraction for rapid antimicrobial resistance prediction of Acinetobacter baumannii from whole-genome sequencing data

in Antimicrobials, Resistance and Chemotherapy

Yue Gao
Henan Li
Chunjiang Zhao
Shuguang Li
Guankun Yin
Hui Wang

Frontiers in Microbiology

doi 10.3389/fmicb.2023.1320312

9,457 views
19 citations

Original Research

Published on 20 Mar 2018

Simple Sample Preparation Method for Direct Microbial Identification and Susceptibility Testing From Positive Blood Cultures

in Infectious Agents and Disease

Hong-wei Pan
Wei Li
Rong-guo Li
Yong Li
Yi Zhang
En-hua Sun

Frontiers in Microbiology

doi 10.3389/fmicb.2018.00481

17,148 views
35 citations

Original Research

Published on 16 Jul 2024

Magnesium matters: unveiling hidden risks in kidney transplant patients through total and ionized magnesium profiling

in Kidney Transplantation

Federica Bocchi
Simeon Schietzel
Uyen Huynh-Do
Bruno Vogt
Daniel Sidler

Frontiers in Nephrology

doi 10.3389/fneph.2024.1385447

5,486 views
1 citation

Methods

Published on 22 Feb 2021

Evaluation of the Clinical Systems for Polymyxin Susceptibility Testing of Clinical Gram-Negative Bacteria in China

in Antimicrobials, Resistance and Chemotherapy

Ying Zhu
Peiyao Jia
Menglan Zhou
Jingjia Zhang
Ge Zhang
Wei Kang
Simeng Duan
Tong Wang
Yingchun Xu
Qiwen Yang

Frontiers in Microbiology

doi 10.3389/fmicb.2020.610604

6,285 views
7 citations

Articles

A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data

Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci

Rapid automated antifungal susceptibility testing system for yeasts based on growth characteristics

Machine learning and feature extraction for rapid antimicrobial resistance prediction of Acinetobacter baumannii from whole-genome sequencing data

Simple Sample Preparation Method for Direct Microbial Identification and Susceptibility Testing From Positive Blood Cultures

Magnesium matters: unveiling hidden risks in kidney transplant patients through total and ionized magnesium profiling

Evaluation of the Clinical Systems for Polymyxin Susceptibility Testing of Clinical Gram-Negative Bacteria in China