AIMC Topic: Drug Resistance, Microbial
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Pregnancy-associated asymptomatic bacteriuria and antibiotic resistance in the Maternity and Children's Hospital, Arar, Saudi Arabia.
Journal of infection in developing countries
Dec 31, 2023
INTRODUCTION: The Ministry of Health in Saudi Arabia provides comprehensive antenatal care for all pregnant women with all required investigations. However, it does not include urine culture for diagnosis of asymptomatic bacteriuria (ASB). This is th...
Addressing antibiotic resistance: computational answers to a biological problem?
Current opinion in microbiology
Apr 7, 2023
The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global healthcare crisis. Understanding the spread of resistance is predicated on the surveillance of antibiotic resistance genes within an environment. Bioinformati...
Researchers turn to tiny robots to fight antibiotic resistance.
Proceedings of the National Academy of Sciences of the United States of America
Feb 9, 2023
Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models.
Journal of environmental management
Dec 7, 2022
Antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) are pollutants of worldwide concern that seriously threaten public health and ecosystems. Machine learning (ML) prediction models have been applied to predict ARGs in beach waters. ...
Antibiotic discovery in the artificial intelligence era.
Annals of the New York Academy of Sciences
Nov 29, 2022
As the global burden of antibiotic resistance continues to grow, creative approaches to antibiotic discovery are needed to accelerate the development of novel medicines. A rapidly progressing computational revolution-artificial intelligence-offers an...
Deep learning research should be encouraged for diagnosis and treatment of antibiotic resistance of microbial infections in treatment associated emergencies in hospitals.
International journal of surgery (London, England)
Aug 24, 2022
Anticipating antibiotic resistance.
Science (New York, N.Y.)
Feb 24, 2022
Machine learning can use clinical history to lower the risk of infection recurrence.
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning.
Nature medicine
Jan 10, 2022
Early use of effective antimicrobial treatments is critical for the outcome of infections and the prevention of treatment resistance. Antimicrobial resistance testing enables the selection of optimal antibiotic treatments, but current culture-based t...
Identification of antibiotic resistance and virulence-encoding factors in Klebsiella pneumoniae by Raman spectroscopy and deep learning.
Microbial biotechnology
Nov 29, 2021
Klebsiella pneumoniae has become the number one bacterial pathogen that causes high mortality in clinical settings worldwide. Clinical K. pneumoniae strains with carbapenem resistance and/or hypervirulent phenotypes cause higher mortality comparing w...
Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques.
BMC bioinformatics
Nov 10, 2021
BACKGROUND: Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is a critical obstacle in clinical application and needs to be addressed.
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