Infectious Disease

Bacterial Infection

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

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Rotatable central composite design versus artificial neural network for modeling biosorption of Cr by the immobilized Pseudomonas alcaliphila NEWG-2.

Heavy metals, including chromium, are associated with developed industrialization and technological ...

Jan 2021 33462359
Use of machine learning to identify a T cell response to SARS-CoV-2.

The identification of SARS-CoV-2-specific T cell receptor (TCR) sequences is critical for understand...

Jan 2021 33495756
Early detection of sepsis using artificial intelligence: a scoping review protocol.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to...

Jan 2021 33453724
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm.

STUDY OBJECTIVE: Machine-learning algorithms allow improved prediction of sepsis syndromes in the em...

Jan 2021 33455840
Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.

The advent of inexpensive and rapid sequencing technologies has allowed bacterial whole-genome seque...

Jan 2021 33455849
Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases.

Despite the availability of various diagnostic tests for inflammatory bowel diseases (IBD), misdiagn...

Jan 2021 33439104
iT3SE-PX: Identification of Bacterial Type III Secreted Effectors Using PSSM Profiles and XGBoost Feature Selection.

Identification of bacterial type III secreted effectors (T3SEs) has become a popular research topic ...

Jan 2021 33505516
An Enhanced Protein Fold Recognition for Low Similarity Datasets Using Convolutional and Skip-Gram Features With Deep Neural Network.

The protein fold recognition is one of the important tasks of structural biology, which helps in add...

Dec 2020 32894720
Anastomotic Leak is Increased With Infection After Colectomy: Machine Learning-Augmented Propensity Score Modified Analysis of 46 735 Patients.

BACKGROUND: infection (CDI) is now the most common cause of healthcare-associated infections, with ...

Dec 2020 33356437
Intraosseous Regional Administration of Antibiotic Prophylaxis in Total Knee Arthroplasty.

BACKGROUND: Periprosthetic joint infection (PJI) is a devastating complication following total knee ...

Dec 2020 34055474
Necrotic enteritis challenge regulates peroxisome proliferator-1 activated receptors signaling and β-oxidation pathways in broiler chickens.

Necrotic enteritis (NE) is an important enteric disease in poultry and has become a major concern in...

Dec 2020 33997353
Label-Free Detection of Based on Bacteria-Imprinted Polymer and Turn-on Fluorescence Probes.

The effective identification and quantitative determination of is a major public health concern. He...

Dec 2020 35014293
Application 2D Descriptors and Artificial Neural Networks for Beta-Glucosidase Inhibitors Screening.

Beta-glucosidase inhibitors play important medical and biological roles. In this study, simple two-v...

Dec 2020 33333961
Machine-Learning Single-Stranded DNA Nanoparticles for Bacterial Analysis.

A two-dimensional nanoparticle-single-stranded DNA (ssDNA) array has been assembled for the detectio...

Dec 2020 34095773
Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.

BACKGROUND: Helicobacter pylori, a 2 × 1 μm spiral-shaped bacterium, is the most common risk factor ...

Dec 2020 33308189
Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR.

PURPOSE: Continuous antibiotic prophylaxis reduces the risk of recurrent urinary tract infection by ...

Dec 2020 33289598
A scaffold hopping strategy to generate new aryl-2-amino pyrimidine MRSA biofilm inhibitors.

Infections that stem from bacterial biofilms are difficult to eradicate. Within a biofilm state, bac...

Dec 2020 34046617
Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost.

BACKGROUND: Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Earl...

Dec 2020 33287854
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