Infectious Disease

Bacterial Infection

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

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Predicting Bacterial Vaginosis Development using Artificial Neural Networks

Bacterial vaginosis (BV) is a dysbiosis of the vaginal microbiome, characterized by the depletion of...

Contextualized Biomedical Language Processing Enhances ICU Survival Prediction

Cerebrospinal fluid (CSF) culture is the diagnostic gold standard for neuroinfectious diseases such ...

STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks

Hospital-acquired infections (HAIs), particularly those caused by multidrug-resistant (MDR) bacteria...

CLIF-Net: Intersection-guided Cross-view Fusion Network for Infection Detection from Cranial Ultrasound

This paper addresses the problem of detecting possible serious bacterial infection (pSBI) of infancy...

A conversational artificial intelligence based web application for medical conversations: a prototype for a chatbot

Artificial Intelligence (AI) has evolved through various trends, with different subfields gaining pr...

The human milk microbiome varies by environmental factors and is associated with infant growth: findings from the IMiC Consortium

Human milk (HM) is a complex ecological matrix that connects mothers and infants to the surrounding ...

Machine Learning based Point-of-Care Disease Diagnostics using Dried patterns formed by E. coli bacteria-laden Sessile Urine Droplets

Urinary Tract Infection (UTI), primarily caused by E. coli bacteria, is a rising global health conce...

Using routine laboratory tests to perform early prediction of urine culture results

Urinary tract infections (UTIs) are among the most common bacterial infections worldwide, typically ...

Predicting Carbapenem Resistance in Hospitalized Patients Using Machine Learning: A Retrospective Analysis of the MIMIC-III Database

Carbapenem-resistant Gram-negative bacteria (CR-GNB) represent a major health challenge due to limit...

Single-Cell Nanomotion and Machine Learning for Parallel Bacterial Identification and Antibiotic Screening

Rapid and accurate identification of bacterial infections and their resistance to antibiotics is cri...

Machine Learning for Urinary Tract Infection Prediction in Emergency Departments: An Explainable Approach

Urinary tract infections (UTIs) represent a substantial burden in emergency department (ED) settings...

Multimodal deep learning model for prediction of prognosis in central nervous system inflammation.

Inflammatory diseases of the CNS impose a substantial disease burden, necessitating prompt and appro...

Jan 2025 40385378
A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information.

Understanding the behavior of microbial consortia is crucial for predicting metabolite production by...

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Jan 2025 40452928
Integrating MALDI-TOF Mass Spectrometry with Machine Learning Techniques for Rapid Antimicrobial Resistance Screening of Foodborne Bacterial Pathogens.

Although MALDI-TOF mass spectrometry (MS) is considered as the gold standard for rapid and cost-effe...

Jan 2025 39235738
Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.

One of the main challenges in food microbiology is to prevent the risk of outbreaks by avoiding the ...

Jan 2025 39235748
Automated Evaluation of Antibiotic Prescribing Guideline Concordance in Pediatric Sinusitis Clinical Notes.

BACKGROUND: Ensuring antibiotics are prescribed only when necessary is crucial for maintaining their...

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Jan 2025 39670367
Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models.

Antibiotic pollution in the environment can significantly impact soil microorganisms, such as alteri...

Jan 2025 40150863
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