AIMC Topic: Bacterial Infections

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Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy.

PLoS computational biology Nov 13, 2023
Reliable detection and classification of bacteria and other pathogens in the human body, animals, food, and water is crucial for improving and safeguarding public health. For instance, identifying the species and its antibiotic susceptibility is vita...
Bacteria Bacterial Infections Microscopy, Phase-Contrast Humans Neural Networks, Computer Deep Learning
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Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study.

International journal of medical informatics Jan 28, 2023
BACKGROUND: Machine learning models have demonstrated superior performance in predicting invasive bacterial infection (IBI) in febrile infants compared to commonly used risk stratification criteria in recent studies. However, the black-box nature of ...
Bacterial Infections Fever Body Temperature Infant Deep Learning Child Humans Retrospective Studies
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Identification of Bacterial Pathogens at Genus and Species Levels through Combination of Raman Spectrometry and Deep-Learning Algorithms.

Microbiology spectrum Oct 31, 2022
The rapid and accurate identification of the causing agents during bacterial infections would greatly improve pathogen transmission, prevention, patient care, and medical treatments in clinical settings. Although many conventional and molecular metho...
Deep Learning Humans Reproducibility of Results Bacteria Spectrum Analysis, Raman Bacterial Infections
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Deep Learning-Enabled Raman Spectroscopic Identification of Pathogen-Derived Extracellular Vesicles and the Biogenesis Process.

Analytical chemistry Aug 27, 2022
Pathogenic bacterial infections, exacerbated by increasing antimicrobial resistance, pose a major threat to human health worldwide. Extracellular vesicles (EVs), secreted by bacteria and acting as their "long-distance weapons", play an important role...
Humans Biomarkers Deep Learning Extracellular Vesicles Bacterial Infections Bacteria Spectrum Analysis, Raman
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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...
Genome, Viral Bacterial Physiological Phenomena Bacteriophages Machine Learning Bacteria Bacterial Infections Viral Proteins Lysogeny Phage Therapy Humans
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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 ...
Bacterial Infections Drug Resistance, Microbial Image Processing, Computer-Assisted Smartphone Mobile Applications Humans Artificial Intelligence Machine Learning Software Anti-Bacterial Agents Microbial Sensitivity Tests
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The role of artificial intelligence in the battle against antimicrobial-resistant bacteria.

Current genetics Feb 13, 2021
Antimicrobial resistance (AMR) in bacteria is a global health crisis due to the rapid emergence of multidrug-resistant bacteria and the lengthy development of new antimicrobials. In light of this, artificial intelligence in the form of machine learni...
Artificial Intelligence Drug Resistance, Bacterial Anti-Infective Agents Bacterial Infections Drug Resistance, Multiple Humans
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Machine learning-driven electronic identifications of single pathogenic bacteria.

Scientific reports Sep 23, 2020
A rapid method for screening pathogens can revolutionize health care by enabling infection control through medication before symptom. Here we report on label-free single-cell identifications of clinically-important pathogenic bacteria by using a poly...
Machine Learning Biosensing Techniques Escherichia coli Staphylococcus aureus Bacterial Infections Bacillus cereus Electronics Micropore Filters Salmonella enterica Pseudomonas fluorescens Microscopy, Electron, Scanning
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Support Vector Machine Bacterial Infections Acute Disease Hospital Mortality Intensive Care Units Aged, 80 and over Humans ROC Curve Female Adult Middle Aged Neural Networks, Computer RNA, Messenger Aged Male Gene Expression Profiling Sepsis Datasets as Topic Host-Pathogen Interactions Virus Diseases
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Machine learning in the clinical microbiology laboratory: has the time come for routine practice?

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Feb 12, 2020
BACKGROUND: Machine learning (ML) allows the analysis of complex and large data sets and has the potential to improve health care. The clinical microbiology laboratory, at the interface of clinical practice and diagnostics, is of special interest for...
Parasitic Diseases Virus Diseases Clinical Laboratory Services Information Technology Microbial Sensitivity Tests Bacterial Infections Mycoses Humans Machine Learning Data Analysis
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