AIMC Topic: Biofilms
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Investigating the bispecific lead compounds against methicillin-resistant SarA and CrtM using machine learning and molecular dynamics approach.
Journal of biomolecular structure & dynamics
Dec 26, 2023
Methicillin-resistant Staphylococcus aureus (MRSA) is a notorious pathogen that has emerged as a serious global health concern over the past few decades. Staphylococcal accessory regulator A (SarA) and 4,4'-diapophytoene synthase (CrtM) play a crucia...
Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.
Medicina (Kaunas, Lithuania)
Dec 21, 2023
: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, which is a typical oral disease, and (), which causes oral candidiasis. : was shaken in 70% ethanol f...
Magnetic Soft Robot for Minimally Invasive Urethral Catheter Biofilm Eradication.
ACS nano
Oct 23, 2023
Catheter-related biofilm infection remains the main problem for millions of people annually, affecting morbidity, mortality, and quality of life. Despite the recent advances in the prevention of biofilm formation, alternative methods for biofilm prev...
Electrochemical Impedance Spectroscopy-Based Sensing of Biofilms: A Comprehensive Review.
Biosensors
Jul 31, 2023
Biofilms are complex communities of microorganisms that can form on various surfaces, including medical devices, industrial equipment, and natural environments. The presence of biofilms can lead to a range of problems, including infections, reduced e...
Anti-Biofilm: Machine Learning Assisted Prediction of IC Activity of Chemicals Against Biofilms of Microbes Causing Antimicrobial Resistance and Implications in Drug Repurposing.
Journal of molecular biology
Apr 20, 2023
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier against the human immune system and drugs. The use of anti-biofilm agents helps in tackling the menace of antibiotic resistance. The identification of effi...
Single-cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates.
Molecular microbiology
Apr 17, 2023
Bacteria often grow into matrix-encased three-dimensional (3D) biofilm communities, which can be imaged at cellular resolution using confocal microscopy. From these 3D images, measurements of single-cell properties with high spatiotemporal resolution...
Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 3, 2023
The current study explores an artificial intelligence framework for measuring the structural features from microscopy images of the bacterial biofilms. Desulfovibrio alaskensis G20 (DA-G20) grown on mild steel surfaces is used as a model for sulfate ...
Automatic dental biofilm detection based on deep learning.
Journal of clinical periodontology
Jan 25, 2023
AIM: To estimate the automated biofilm detection capacity of the U-Net neural network on tooth images.
BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations.
NPJ biofilms and microbiomes
Dec 18, 2022
Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence time-lapse images is essential for observing individual cell behaviors in large bacterial communities called biofilms. Recent progress in machine-learning-base...
BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets.
Journal of molecular biology
Dec 1, 2022
Micrograph comparison remains useful in bioscience. This technology provides researchers with a quick snapshot of experimental conditions. But sometimes a two- condition comparison relies on researchers' eyes to draw conclusions. Our Bioimage Analysi...
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