Bacterial Infection

Regulatory mechanism of the oprM gene in colistin resistance of acinetobacter baumannii.

BACKGROUND: Colistin resistance in Acinetobacter baumannii (AB) is a serious clinical concern. This ...

Near real-time and next-day prediction for Escherichia coli (E. coli) concentrations in highly urbanized watersheds.

Microbial contamination of heavily urbanized watersheds is of significant public health concern. Esc...

Influence of typical anions in brackish water on synergistic remediation of Vanadium(V) by coffee grounds and Ryegrass: Machine learning modeling and co-occurrence network analysis.

Brackish water is widely distributed and highly overlaps with areas contaminated by vanadium (V), pr...

Diverse combination of factors associated with the development of diabetic kidney disease among data-driven diabetes subtypes: analysis of the J-DREAMS registry.

AIMS/HYPOTHESIS: Available methods for predicting the onset and progression of diabetic kidney disea...

Effective alternative strategies to combat challenges associated with MDR bacterial infections: Drug repurposing, role of artificial intelligence, and novel therapeutic options.

Antibiotic failure has emerged as a critical global health concern, driven by a combination of facto...

Ligand-based prediction of anti-bacterial compounds: Overcoming class imbalance in molecular data.

In the emergence of pan-drug-resistant bacteria, there is an urgent demand for the discovery of stru...

Authors reply: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach".

Homogeneous multi-antibiotics residual identification in various actual water via SERS spectra multilayer perceptron algorithm combined with Gaussian kernel density estimation data augmentation.

BACKGROUND: Antibiotic residues pose varying degrees of potential hazards to the water environment a...

Species-specific discrimination of bacterial biofilms using a ratiometric fluorescence sensor array and machine learning.

Biofilms are intricate bacterial communities encased in a self-produced extracellular matrix (ECM) o...

Toward indole postbiotics precision therapy via AI-powered drug delivery technologies.

Recent advancements in microbiome research have revealed the restorative capacities of postbiotics, ...

Structure-Based Classification of CRISPR/Cas9 Proteins: A Machine Learning Approach to Elucidating Cas9 Allostery.

The CRISPR/Cas9 system is a powerful gene-editing tool. Its specificity and stability rely on comple...

Zoonoticus: A machine learning model for genomic prediction of zoonotic bacterial strains using virulence, resistance, and mobile genetic elements.

Zoonotic diseases continue to rise globally, yet no existing genomic tool integrates virulence, anti...

The application of machine learning in the evaluation of urinary tract infections incidence in patients in a Nursing and Treatment Facility.

BACKGROUND: Urinary tract infection (UTI) is a serious problem in the healthcare system. It is cause...

Letter to the editor: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a behavioural artificial intelligence technology (BAIT) approach".

Behavioural Artificial Intelligence Technology (BAIT) has recently been proposed to codify expert re...

Algal-bacterial granular sludge process for sustainable wastewater treatment: Technological advances and challenges.

The algal-bacterial granular sludge (ABGS) process is a promising solution for sustainable wastewate...

Systematic post-translational modification genome wide identifies therapeutic targets for Alzheimer's disease: evidence from multi-cohort analysis.

BACKGROUND: The rapid increase in the incidence of Alzheimer's disease (AD) has raised concerns, giv...

Diagnosis of Acute, Chronic (with and without Nasal Polyps), and Fungal Sinusitis.

Rhinosinusitis is a spectrum of diseases with varied causes, presentations, and diagnostic approache...

Early prediction of septic shock in ICU patients using machine learning: development, external validation, and explainability with SHAP.

BACKGROUND: Septic shock is a severe and life-threatening complication of sepsis associated with hig...

Machine learning-assisted sensing platform for simultaneous and visual detection of tetracycline hydrochloride and ofloxacin.

Antibiotics are essential in modern medicine; however, their overuse and improper disposal have caus...

Influences of growth media and culture time on the SERS spectral patterns of three common pathogenic bacteria: a comparative analysis.

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for clinical microorganism...

Hospital-acquired pneumonia: Past, present, and perspectives.

Hospital-acquired pneumonia (HAP) remains the most frequent and lethal hospital acquired infection, ...