AIMC Topic: Bacteria

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Phenotype-Based Threat Assessment.

Proceedings of the National Academy of Sciences of the United States of America Apr 1, 2022
Bacterial pathogen identification, which is critical for human health, has historically relied on culturing organisms from clinical specimens. More recently, the application of machine learning (ML) to whole-genome sequences (WGSs) has facilitated pa...
Phenotype Bacteria Machine Learning Virulence Genome, Bacterial Whole Genome Sequencing Virulence Factors
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Evaluation of the Effect of Comprehensive Nursing Interventions on Plaque Control in Patients with Periodontal Disease in the Context of Artificial Intelligence.

Journal of healthcare engineering Mar 23, 2022
Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new plaque can continuously reform after removing it from the tooth surface. The pathogenesis of periodontal disease is related to the bacteria, the host an...
Biofilms Bacteria Periodontal Diseases Artificial Intelligence Quality of Life Humans
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Laser tweezers Raman spectroscopy combined with deep learning to classify marine bacteria.

Talanta Mar 16, 2022
Rapid identification of marine microorganisms is critical in marine ecology, and Raman spectroscopy is a promising means to achieve this. Single cell Raman spectra contain the biochemical profile of a cell, which can be used to identify cell phenotyp...
Spectrum Analysis, Raman Optical Tweezers Deep Learning Bacteria Neural Networks, Computer
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Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Microbiology spectrum Mar 2, 2022
Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypot...
Male Deep Learning Humans Female Lasers Urinalysis Bacteria Urinary Tract Infections
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Rapid and accurate identification of pathogenic bacteria at the single-cell level using laser tweezers Raman spectroscopy and deep learning.

Journal of biophotonics Mar 1, 2022
We report a new method for the rapid identification of pathogenic bacterial species at the single-cell level that combines laser tweezers Raman spectroscopy (LTRS) with deep learning (DL). LTRS can accurately measure single-cell Raman spectra (scRS) ...
Optical Tweezers Humans Deep Learning Bacteria Spectrum Analysis, Raman
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A machine learning approach-based array sensor for rapidly predicting the mechanisms of action of antibacterial compounds.

Nanoscale Feb 24, 2022
Rapid and accurate identification of the mechanisms of action (MoAs) of antibacterial compounds remains a challenge for the development of antibacterial compounds. Computational inference methods for determining the MoAs of antibacterial compounds ha...
Machine Learning Anti-Bacterial Agents Bacteria
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NIFtHool: an informatics program for identification of NifH proteins using deep neural networks.

F1000Research Feb 9, 2022
Atmospheric nitrogen fixation carried out by microorganisms has environmental and industrial importance, related to the increase of soil fertility and productivity. The present work proposes the development of a new high precision system that allows ...
Bacterial Proteins Informatics Phylogeny Bacteria Oxidoreductases Neural Networks, Computer
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PhageLeads: Rapid Assessment of Phage Therapeutic Suitability Using an Ensemble Machine Learning Approach.

Viruses Feb 8, 2022
The characterization of therapeutic phage genomes plays a crucial role in the success rate of phage therapies. There are three checkpoints that need to be examined for the selection of phage candidates, namely, the presence of temperate markers, anti...
Machine Learning Bacteria Bacterial Infections Genome, Viral Humans Phage Therapy Viral Proteins Lysogeny Bacterial Physiological Phenomena Bacteriophages
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A deep learning model to detect novel pore-forming proteins.

Scientific reports Feb 7, 2022
Many pore-forming proteins originating from pathogenic bacteria are toxic against agricultural pests. They are the key ingredients in several pesticidal products for agricultural use, including transgenic crops. There is an urgent need to identify no...
Crops, Agricultural Pesticides Pore Forming Cytotoxic Proteins Bacteria Amino Acid Sequence Deep Learning
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Machine learning classification of trajectories from molecular dynamics simulations of chromosome segregation.

PloS one Jan 21, 2022
In contrast to the well characterized mitotic machinery in eukaryotes it seems as if there is no universal mechanism organizing chromosome segregation in all bacteria. Apparently, some bacteria even use combinations of different segregation mechanism...
Chromosome Segregation Molecular Dynamics Simulation DNA Replication Bacteria Microscopy, Fluorescence Machine Learning
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