Infectious Disease

Bacterial Infection

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

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Bacteria Shape Classification using Small-Scale Depthwise Separable CNNs.

Fast detection and classification of bacteria species play a crucial role in modern clinical microbi...

Nov 2021 34891861
Deep Learning Assisted Microfluidic Impedance Flow Cytometry for Label-free Foodborne Bacteria Analysis and Classification.

According to the urgent need for rapid detection and identification of foodborne bacteria to prevent...

Nov 2021 34892734
Improving the accuracy and convergence of drug permeation simulations via machine-learned collective variables.

Understanding the permeation of biomolecules through cellular membranes is critical for many biotech...

Jul 2021 34340389
Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus.

BACKGROUND: A mass spectrometry-based assessment of methicillin resistance in Staphylococcus aureus ...

Jul 2021 33197936
Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults.

BACKGROUND: Sepsis is a life-threatening condition with high mortality rates. Early detection and tr...

Jul 2021 32991797
Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils.

Differentiating neutrophils based on the count of nuclear lobulation is useful for diagnosing variou...

Jul 2021 34305101
Prediction of prokaryotic transposases from protein features with machine learning approaches.

Identification of prokaryotic transposases (Tnps) not only gives insight into the spread of antibiot...

Jul 2021 34309504
Towards real-time diagnosis for pediatric sepsis using graph neural network and ensemble methods.

OBJECTIVE: The rapid onset of pediatric sepsis and the short optimal time for resuscitation pose a s...

Jul 2021 34337717
Predicting ventilator-associated pneumonia with machine learning.

Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive...

Jun 2021 34115013
Predicting Antibiotic Resistance in Hospitalized Patients by Applying Machine Learning to Electronic Medical Records.

BACKGROUND: Computerized decision support systems are becoming increasingly prevalent with advances ...

Jun 2021 33070171
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.

Virulence factors (VFs) enable pathogens to infect their hosts. A wealth of individual, disease-focu...

May 2021 32599617
Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can re...

May 2021 34106618
Four Biomarkers-Based Artificial Neural Network Model for Accurate Early Prediction of Bacteremia with Low-level Procalcitonin.

OBJECTIVE: Procalcitonin levels above 2.0 ng/mL are associated with a higher risk of severe sepsis. ...

May 2021 34162572
[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rect...

Apr 2021 33976061
iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.

Independent component analysis (ICA) of bacterial transcriptomes has emerged as a powerful tool for ...

Jan 2021 33045728
Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

Escherichia coli is a species of bacteria that can be present in a wide variety of mammalian hosts a...

Jan 2021 33704750
Antimicrobial, Cytotoxic and Oxidative Stress Inhibitory Activities of Terpenoids and Flavonols from (Oliv.) P.J.H. Hurter.

(knob thorn) is a deciduous tree distributed in savannah regions from Tanzania to South Africa used...

Jan 2021 35194450
Supervised learning on phylogenetically distributed data.

MOTIVATION: The ability to develop robust machine-learning (ML) models is considered imperative to t...

Dec 2020 33381838
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