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Scientific literature watch

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Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming

PLOS Computational Biology • 2022.03.25

Peng Z., Maciel-Guerra A., Baker M., et al.

Bioinformatics, Environment, Epidemiology, Surveillance
International
Chickens, Farms, Livestock, Machine learning, Poultry

Antilogic, a new supervised machine learning software for the automatic interpretation of antibiotic susceptibility testing in clinical microbiology: proof-of-concept on three frequently isolated bacterial species

Clinical Microbiology and Infection • 2022.04.07

Rajaonison A., Le Page S., Maurin T., et al.

Bioinformatics, Methods
International
Antibioticsusceptibility testing, Clinical microbiology laboratory, Conformal predictions, Disk diffusion, Machine learning, Uncertainty quantification

Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning

Nature • 2022.01.10

Weis C., Cuénod A., Rieck B. et al.

Association of a Safety Program for Improving Antibiotic Use With Antibiotic Use and Hospital-Onset Clostridioides difficile Infection Rates Among US Hospitals

Jama • 2021.02.26

Antibiotic stewardship, Epidemiology, Surveillance
International
Antibiotic stewardship programs, Antibiotic Use, Clostridioides difficile, Hospitals

Expansion of RiPP biosynthetic space through integration of pan-genomics and machine learning uncovers a novel class of lanthipeptides

PLOS Biology • 2020.12.22

Kloosterman A.M , Cimermancic P., Elsayed S.S, et al.

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

Bioinformatics • 2021.10.06

Ren Y., Chakraborty T., Doijad S., et al.

Bioinformatics, Methods
International
AMR diagnostic methods, Bioinformatics, Machine learning, Prediction of AMR

Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods

PLOS Digital Health • 2022.06.30

Bioinformatics, New antibiotics and alternatives
International
Anti-TB agents, Fluoroquinolones, Logistic regression, Machine learning, Moldova, Neural network, Random forest, Rifampicin-resistant tuberculosis

Antimicrobial resistance research round-up: a microscopic molecular drill, a machine-learning system for drug discovery and other highlights from clinical trials and laboratory studies

Nature • 2020.10.21

Review by SVOBODA E.

Artificial Intelligence and Antibiotic Discovery

Antibiotics • 2021.11.10

David L, Brata A.M., Mogosan C., et al.

Futuristic Non-antibiotic Therapies to Combat Antibiotic Resistance: A Review

Front. Microbiol. • 2021.01.26

Kumar M., Kumar Sarma D., Shubham S., et al.

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