Bacterial Infection

Cooperative membrane association as a mechanistic origin of synergistic antimicrobial peptide activity.

Antimicrobial peptides (AMPs) are central components of the innate immunity system that can be found in almost all living organisms. They are promising alternatives to conventional antibiotics due to their broad-spectrum activity and reduced susceptibility to resistance. Experimental studies have shown that combinations of AMPs can act synergistically, achieving enhanced antibacterial efficacy at ...

Antibiotic therapy in febrile neutropenia in haematological patients: current considerations and future challenges.

The management of febrile neutropenia (FN) in oncohematological patients is undergoing a paradigm shift driven by a deeper understanding of patients' pathophysiological heterogeneity, the increasing speed and accuracy of microbiological diagnostics, the emergence of new antibiotics, and the incorporation of predictive artificial intelligence (AI) as a tool to support clinical decision-making. Our ...

Single-cell approach dissecting agr quorum sensing dynamics in Staphylococcus aureus.

Quorum sensing (QS) enables bacteria to coordinate collective behaviors by secreting and sensing diffusible signals. Understanding QS at single-cell r...

A parallel convolutional neural network with background removal and lesion segmentation for field plant disease severity classification.

Today, the intelligent automation of agriculture has received much attention from researchers. One of the important factors for the success of this au...

Artificial intelligence-assisted phenotyping of drug-resistant bacteria using a monosaccharide-based fluorescent sensor array.

Chemical tools capable of effectively phenotyping drug-resistant bacteria can help improve therapeutic efficacy toward bacterial infections. While con...

Artificial intelligence in antimicrobial drug discovery: predictive and generative strategies.

INTRODUCTION: The slow pipeline of antimicrobial drug development stands in stark contrast to the continued expansion of microbial infections, which p...

Synthetic Inducible Bacteria Normalize the Microenvironment of Refractory Tumors, Potentiating Checkpoint Inhibitor Responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

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. Bacte...

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 patho...

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...