AIMC Topic: Drug Resistance, Microbial
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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.
Using computers to ESKAPE the antibiotic resistance crisis.
Drug discovery today
Oct 21, 2021
Since the discovery of penicillin, the development and use of antibiotics have promoted safe and effective control of bacterial infections. However, the number of antibiotic-resistance cases has been ever increasing over time. Thus, the drug discover...
Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides.
BMC bioinformatics
May 11, 2021
BACKGROUND: Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While deep learning and related neural networking methods have state-of-the-art performance, their vulnerability in decis...
Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models.
Water research
Mar 3, 2021
Antibiotic resistance genes (ARGs) have been reported to threaten the public health of beachgoers worldwide. Although ARG monitoring and beach guidelines are necessary, substantial efforts are required for ARG sampling and analysis. Accordingly, in t...
AI-based mobile application to fight antibiotic resistance.
Nature communications
Feb 19, 2021
Antimicrobial resistance is a major global health threat and its development is promoted by antibiotic misuse. While disk diffusion antibiotic susceptibility testing (AST, also called antibiogram) is broadly used to test for antibiotic resistance in ...
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