Infectious Disease

A robotic wound care patient for evidence-based surgical site infection research.

BACKGROUND: Surgical site infections (SSIs) are among the most common and preventable postoperative complications, yet existing preclinical models lack physiological realism and do not enable quantitative assessment of bacterial behavior. Wound pH critically modulates bacterial morphology and organization, underscoring the need for systems that replicate controlled wound environments. OBJECTIVES: ...

A hybrid ensemble approach: fusing ANFIS, LSTM, and LSSVM with PSO for enhanced influenza a forecasting.

Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies.

BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocag...

Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study.

OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artificial intelligence (AI) agent, implemented within a...

Integrating theory and machine learning to reveal determinants of plasmid copy number.

Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence microbial evolution, antibiotic resistance and pa...

Lightweight large language models for early sepsis prediction via a semantic abstraction rule engine.

Sepsis remains a major global health challenge due to its high mortality rate and the difficulty of predicting its onset from nonspecific early sympto...

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis.

Age is a well-known risk factor to develop severe viral respiratory infections, including severe COVID-19. This study aimed to identify the biological...

Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.

Sepsis-induced acute kidney injury (S-AKI) is a common and serious complication in critically ill children with a poor prognosis, and its early and ac...

Polyhydroxyalkanoates production by yeasts - Still possible?

Synthetic polymers have become ubiquitous in modern life due to their versatility, durability and low production costs, leading to a significant incre...

Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein structure, and public health action. This review ...

Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberculosis vaccine Bacillus Calmette-Guérin (BCG). Alt...

Machine learning-based precision subtyping and risk prediction in sepsis: a retrospective analysis using MIMIC-IV database.

Machine learning and meningitis prediction in pediatric invasive pneumococcal disease: a retrospective single-center study.

n-Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz.

As advancements in artificial intelligence, the Internet of Things (IoT), and telecommunication technologies continue to accelerate, the demand for ch...

Identification of potential MenT3 inhibitors for Mycobacterium tuberculosis using the generative artificial intelligence and SilicoXplore platform.

Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generati...

Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?

BACKGROUND: Early identification of patients with carbapenemase-producing Enterobacterales (CPE) colonization is crucial for infection control; howeve...

Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.

Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative...

Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturing.

Ergothioneine (EGT), a potent natural antioxidant from edible fungi, is highly valued for its antioxidant, anti-inflammatory, and cytoprotective effec...