Infectious Disease

Bacterial Infection

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

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Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database.

In predictive microbiology, statistical models are employed to predict bacterial population behavior...

May 2021 34012066
Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data.

We investigate the feasibility of molecular-level sample classification of sepsis using microarray g...

May 2021 33999966
Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides.

BACKGROUND: Current methods in machine learning provide approaches for solving challenging, multiple...

May 2021 33975547
Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.

PROBLEM: Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The ...

May 2021 33905152
A Zwitterionic-Aromatic Motif-Based ionic skin for highly biocompatible and Glucose-Responsive sensor.

Electronic skins that can sense external stimuli have been of great significance in artificial intel...

May 2021 34030011
Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniques.

INTRODUCTION: Early diagnosis and antibiotic administration are essential for reducing sepsis morbid...

May 2021 33949115
The Function of Color and Structure Based on EEG Features in Landscape Recognition.

Both color and structure make important contributions to human visual perception, as well as the eva...

May 2021 34063616
Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis.

Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administ...

May 2021 33786999
Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data.

Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics and to imp...

Apr 2021 33975088
Physiological machine learning models for prediction of sepsis in hospitalized adults: An integrative review.

BACKGROUND: Diagnosing sepsis remains challenging. Data compiled from continuous monitoring and elec...

Apr 2021 33875337
A controlled human infection model of Streptococcus pyogenes pharyngitis (CHIVAS-M75): an observational, dose-finding study.

BACKGROUND: Streptococcus pyogenes is a leading cause of infection-related morbidity and mortality. ...

Apr 2021 35544165
Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review.

BACKGROUND AND OBJECTIVES: Sepsis is a life-threatening condition that is associated with increased ...

Apr 2021 33878596
Prediction of vancomycin dose on high-dimensional data using machine learning techniques.

OBJECTIVES: Despite therapeutic vancomycin is regularly monitored, its dose requirements vary consid...

Apr 2021 33835879
Dual-signal lateral flow assay using vancomycin-modified nanotags for rapid and sensitive detection of .

This paper reports a colorimetric-fluorescent dual-signal lateral flow assay (LFA) based on vancomyc...

Apr 2021 35423879
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.

The current COVID-19 pandemic overloads healthcare systems, including radiology departments. Though ...

Apr 2021 33932751
Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.

IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant...

Apr 2021 33871619
AMPGAN v2: Machine Learning-Guided Design of Antimicrobial Peptides.

Antibiotic resistance is a critical public health problem. Each year ∼2.8 million resistant infectio...

Mar 2021 33787250
Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study.

BACKGROUND: Healthcare associated infections (HAI) are a major burden for the healthcare system and ...

Mar 2021 33788888
Safety-driven design of machine learning for sepsis treatment.

Machine learning (ML) has the potential to bring significant clinical benefits. However, there are p...

Mar 2021 33798716
Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach.

To better combat the expansion of antibiotic resistance in pathogens, new compounds, particularly th...

Mar 2021 33780444
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