Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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Modelling the influence of environmental parameters over marine planktonic microbial communities using artificial neural networks.

Guanabara Bay is a tropical estuarine ecosystem that receives massive anthropogenic impacts from the...

Apr 2019 31059870
Construction and optimization of a 'NG Morbidostat' - An automated continuous-culture device for studying the pathways towards antibiotic resistance in .

To obtain a detailed picture of the dynamics of antibiotic resistance development in , we built a mo...

Apr 2019 32318263
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.

OBJECTIVE: Sepsis remains a costly and prevalent syndrome in hospitals; however, machine learning sy...

Apr 2019 31035074
Machine-Learning-Based Predictor of Human-Bacteria Protein-Protein Interactions by Incorporating Comprehensive Host-Network Properties.

The large-scale identification of protein-protein interactions (PPIs) between humans and bacteria re...

Apr 2019 30983371
Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's disco...

Apr 2019 31026040
The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific d...

Apr 2019 31128829
Fast and reliable determination of Escherichia coli susceptibility to antibiotics: Infrared microscopy in tandem with machine learning algorithms.

Antimicrobial drugs have an important role in controlling bacterial infectious diseases. However, th...

Apr 2019 30916881
Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs.

The emergence of microbes resistant to common antibiotics represent a current treat to human health....

Mar 2019 30935109
Interpretable genotype-to-phenotype classifiers with performance guarantees.

Understanding the relationship between the genome of a cell and its phenotype is a central problem i...

Mar 2019 30858411
Modeling Antibacterial Activity with Machine Learning and Fusion of Chemical Structure Information with Microorganism Metabolic Networks.

Predicting the activity of new chemical compounds over pathogenic microorganisms with different meta...

Mar 2019 30802402
Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...

Feb 2019 30794638
Unsupervised Learning Approach for Comparing Multiple Transposon Insertion Sequencing Studies.

Transposon insertion sequencing (TIS) is a widely used technique for conducting genome-scale forward...

Feb 2019 30787116
An attention based deep learning model of clinical events in the intensive care unit.

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an a...

Feb 2019 30759094
Argentinian multicenter study on urinary tract infections due to Streptococcus agalactiae in adult patients.

INTRODUCTION: Streptococcus agalactiae (group B streptococcus, GBS) is a recognized urinary pathogen...

Jan 2019 32032027
Linezolid in Combination With Azoles Induced Synergistic Effects Against and Protected Against Experimental Candidiasis.

The incidence of resistant isolates has increased continuously in recent decades, especially . To o...

Jan 2019 30766527
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal .

Nontyphoidal species are the leading bacterial cause of foodborne disease in the United States. Who...

Jan 2019 30333126
Synthesis, characterization, antimicrobial and antimetastatic activity of silver nanoparticles synthesized from Ficus ingens leaf.

Cancer incidence is still increasing due to inadequate responsive treatments. Inertness and biocompa...

Jan 2019 30688106
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

This paper presents a novel method for hierarchical analysis of machine learning algorithms to impro...

Jan 2019 30676988
Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the...

Jan 2019 30661855
Metabarcoding and machine learning analysis of environmental DNA in ballast water arriving to hub ports.

While ballast water has long been linked to the global transport of invasive species, little is know...

Jan 2019 30660844
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