Infectious Disease

Bacterial Infection

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

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Vegetable substrates as an alternative for the inclusion of lactic acid bacteria with probiotic potential in food matrices.

Vegetable substrates are food matrices with micronutrients, antioxidants, and fiber content with a h...

Jul 2023 38487286
A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against using Multi-Branch-CNN and Attention.

Antimicrobial peptides (AMPs) are a promising alternative to antibiotics to combat drug resistance i...

Jul 2023 37431995
Clinical and oral microbiome pattern of halitosis patients with periodontitis and gingivitis.

Halitosis is caused by a bacterial proteolytic process that induces the production of volatile sulfu...

Jul 2023 38454982
The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology.

The growing transition to digital microbiology in clinical laboratories creates the opportunity to i...

Jul 2023 37395657
Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.

OBJECTIVES: This study aims to develop a deep learning algorithm, Pneumonia-Plus, based on computed ...

Jun 2023 37389609
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data.

We propose a machine learning framework for the data-driven discovery of macroscopic chemotactic Par...

Jun 2023 37341784
Risk predictions of hospital-acquired pressure injury in the intensive care unit based on a machine learning algorithm.

Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains...

Jun 2023 37312659
Robot-Guided Stereotactic Puncture and Drainage in the Treatment of Thalamic Abscess.

Brain abscess is rare in clinic, the reported incidence is only 0.4 to 0.90 per 100,000 population, ...

Jun 2023 37276337
Reconstructive Allograft Preparation for Long Bone Intercalary Segments After Tumor Resections: Toronto Sarcoma Protocol.

BACKGROUND: The Reconstructive Allograft Preparation by Toronto Sarcoma (RAPTORS) protocol is reliab...

May 2023 38274144
Association between serum level of vitamin D (25-hydroxyvitamin D) and plasma level of vitamin D receptor with bacteriological index in leprosy patients.

Macrophages respond against infection through interacting with vitamin D and vitamin D receptor (VD...

May 2023 38327594
Systematic Review of Piperacillin-Tazobactam and Vancomycin Y-Site Compatibility: Consideration of Concentration and Solution Variability.

Simultaneous administration of vancomycin and piperacillin-tazobactam (VPT) poses significant challe...

May 2023 38560538
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.

Artificial Intelligence (AI) techniques are of great potential to fundamentally change antibiotic di...

May 2023 37167016
In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring.

This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis pred...

May 2023 37028013
Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness.

Node representation learning in a network is an important machine learning technique for encoding re...

May 2023 37210973
BacterAI maps microbial metabolism without prior knowledge.

Training artificial intelligence (AI) systems to perform autonomous experiments would vastly increas...

May 2023 37142775
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients.

BACKGROUND: A growing body of research suggests that the use of computerized decision support system...

May 2023 37143048
Synthetic Model Combination: A new machine-learning method for pharmacometric model ensembling.

When aiming to make predictions over targets in the pharmacological setting, a data-focused approach...

Apr 2023 37042155
Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach.

The purpose of this study was to create a tool for predicting the growth of total mesophilic bacteri...

Apr 2023 37073088
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