Bacterial Infection

Targeting bacterial metal dependence: material design with computational frontiers.

Antimicrobial resistance (AMR) constitutes a profound global health crisis, necessitating the development of unconventional therapeutic targets. Bacterial reliance on transition metals for metabolism, virulence, and survival creates a conserved, underexploited vulnerability that can be targeted by biomaterials to combat AMR. This review adopts a materials-oriented perspective to unify emerging met...

Reinforcing the Arsenal: Advanced Antibiotic Adjuvants as Strategic Disruptors of Bacterial Defenses.

The global crisis of bacterial antimicrobial resistance poses a severe threat to public health and agricultural development. Multidrug-resistant pathogens, including Escherichia coli and Pseudomonas aeruginosa, are widely distributed in clinical settings and food chains. The development of new antibiotics lags far behind practical demand, making antibiotic adjuvants a vital alternative strategy. T...

Conditional Diffusion Model-Based Method for Annotation of Antibiotic Resistance Gene Properties.

The crisis of bacterial antibiotic resistance, which has led to a decline in the effectiveness of antibiotics originally used to combat bacterial infe...

Use of on-farm culturing for clinical mastitis treatment decisions and antimicrobial use in Argentina.

Clinical mastitis (CM) is one of the main causes of antimicrobial use (AMU) in dairy cattle, and strategies that support selective therapy are essenti...

Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies.

Staphylococcus aureus causes life-threatening bacterial infections. Current diagnostics for bone infection consist of invasive sample collection and l...

Highly Efficient Broad-Spectrum Antibacterial Carbon Dots through Hierarchical Machine Learning Framework.

The global threat of antibiotic resistance necessitates intelligent design strategies for next-generation antibacterial nanomaterials. Herein, high-ef...

Breaking glycolysis: allosteric hotspots for multi-target drug repurposing.

Glycolysis is essential for cellular energy production, making its enzymes attractive antimicrobial targets. Traditional strategies targeting conserve...

The role of whole genome sequencing in antimicrobial susceptibility prediction of bacteria: 2025 update from the EUCAST Subcommittee.

SCOPE: The 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee report on the role of Whole Genome Sequencing (WGS) i...

Efficacy and safety evaluation of artificial intelligence-identified antimicrobial peptides targeting avian pathogenic Escherichia coli in broiler chickens.

BACKGROUND: The overuse of antibiotics in both veterinary and human medicine has resulted in the emergence of antibiotic-resistant bacteria, prompting...

Divergent fates: Polystyrene microplastics alter trifloxystrobin degradation and microbial ecology differently in agricultural soil vs. river sediment.

This study investigates the effects of polystyrene microplastics (PS-MPs) on trifloxystrobin (TRI) degradation behavior and microbial community struct...

PromoterAtlas: decoding regulatory sequences across Gammaproteobacteria using a transformer model.

Recent advances in deep learning, particularly transformer architectures, have improved computational approaches for biological sequence analysis. Des...

Diagnostic value of cytokine detection in children with Mycoplasma pneumoniae pneumonia complicated by bacterial or viral co-infections.

BACKGROUND: To evaluate the diagnostic value of cytokine levels in paediatric patients with Mycoplasma pneumoniae pneumonia (MPP) complicated by bacte...

A novel hybrid approach for microbial detection using deep ensemble learning.

Microbes play a vital role in healthcare, clinical microbiology, biotechnology, and environmental health, making their accurate detection and classifi...

Decoding bacterial transcriptional regulatory networks through integrated multi-omics datasets for artificial intelligence-driven design of programmable biological systems.

Advances in next-generation sequencing (NGS) have provided refined insight into bacterial transcriptional regulatory networks (TRNs) on a genome-wide ...

Multi-omics precision diagnosis of brucellosis: Advances in biomarker discovery and clinical application.

Brucellosis, a neglected zoonosis caused by intracellular Brucella bacteria, remains a formidable global public health challenge, especially in develo...

Host-Linked Virome Assembly and Turnover Predict Bacterial Community Structure in Wastewater Treatment Systems.

Viruses play crucial roles in bacterial ecology and evolution through virus-host interactions; however, their distribution, assembly mechanisms, and t...

Deep neural networks in medical microbiology for bacterial colonies classification.

While automation has transformed many areas inside clinical laboratories, microbiology still relies heavily on manual tasks, particularly the culture ...

An artificial intelligence classifier as a screening tool to rule out otitis media in children.

OBJECTIVE: Acute otitis media is the most common bacterial infection among children and a significant global health burden. Despite its high incidence...

Breaking the culture habit: Complementing culture-based veterinary diagnostics with metagenomic data -A case study of feline and canine skin infections.

BACKGROUND: Skin infections have been described as the primary cause for veterinary small animal practice visits, frequently requiring topical and sys...

dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics.

SUMMARY: This study presents dAMN, a genome-scale neural-mechanistic hybrid model that combines neural networks with dynamic flux balance analysis to ...