Bacterial Infection

Early detection of ampicillin susceptibility in Enterococcus faecium with MALDI-TOF MS and machine learning.

BACKGROUND: Enterococcus faecium can cause severe infections and is often resistant to the first-lin...

Biophysical properties and phenotypes of cell clusters detached from Staphylococcus epidermidis biofilms after matrix-targeted disruption.

Bacterial cells detached from Staphylococcus epidermidis biofilms are found to release predominantly...

Piperacillin/tazobactam plus erythromycin improves clinical outcomes in AECOPD with bacterial lower respiratory tract infections: a retrospective cohort study.

The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence.

BACKGROUND: After resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) p...

Development and validation of an artificial intelligence-based model for predicting teicoplanin plasma concentrations in intensive care unit patients with pulmonary infections: a retrospective study.

INTRODUCTION: Teicoplanin is widely used to treat pulmonary infections, particularly in critically i...

Unraveling the diagnostic and prognostic signatures of oral microbiota in head and neck cancer.

BACKGROUND: Head and neck cancer, predominantly squamous cell carcinoma, has emerged as a significan...

Novel Deep-Learning Unsupervised Domain Adaptation Method for Mitigating Batch, Strain, and Instrument Variations to Enhance Raman Spectroscopy-Based Bacterial Pathogen Identification.

The escalating threat of antibiotic resistance demands a rapid and accurate pathogen identification....

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...

Response of the authors to the letter to the editor regarding "Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis".

Dietary exposure to antimicrobial residues in eggs: Traceability-driven risk heterogeneity and national monitoring optimization in China.

Egg production is growing rapidly to meet global protein demand, but in low- and middle-income count...

Engineering Antimicrobial Peptides via Motif Assembly for Combating Multidrug-Resistant Pathogens.

Hybridization of common motifs from known antimicrobial peptides (AMPs) is a promising strategy for ...

Letter to the editor regarding "Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis".

Precisely Identifying Growth Phases of Living Bacteria using Open-Set Deep Learning-Driven Single-Cell Raman Spectroscopy.

Owing to population cellular heterogeneity, it is still challenging to identify and determine the gr...

RaMoA: Raman Microspectroscopy and Deep Learning for the Classification of Antimicrobial Mechanism of Action.

We propose an innovative technology based on the combination of Raman microspectroscopy and deep lea...

FTIR spectroscopy of peripheral blood mononuclear cells and machine learning: Spectral biomarkers for bacteremia, focal bacterial, and viral infections.

The rapid and accurate differentiation of bacteremia, focal bacterial infections (FBI), and viral il...

A Multidisciplinary Approach for Predicting the Microbiological Spoilage of Chicken Breast Fillets due to Cold-chain Disruption.

Cold-chain disruptions during storage and distribution of raw poultry can significantly reduce produ...

Rapid Proteome-Wide Discovery of Protein-Protein Interactions With ppIRIS.

Protein-protein interactions (PPIs) are central to cellular processes and host-pathogen dynamics acr...

Targeting metabolism to combat anticancer and antibacterial drug resistance.

Drug resistance is a major challenge in cancer and infectious diseases, requiring innovative solutio...

Fingerprinting Fluorescent In Situ Hybridization Enables Multiplexed Identification of Pathogenic Bacteria.

Fluorescence in situ hybridization (FISH) is a highly specific technique for pathogenic bacteria det...

Culture-Free Microfluidics for Ultra-Rapid Antimicrobial Susceptibility Testing with AI in Resource-Limited Settings.

The misuse of antibiotics has accelerated the rise of antimicrobial resistance (AMR), particularly i...

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors.

Identifying effector proteins of secretion systems in Gram-negative bacteria is crucial for decipher...