Universal precautions

C1R suppresses hepatocellular carcinoma cell aggressiveness through promoting HIF-1α degradation and modulating cuproptosis-related protein expression.

BACKGROUND: Hepatocellular carcinoma (HCC) frequently develops in the setting of chronic hepatitis B virus (HBV) infection, yet the molecular events shared by HBV-related liver injury and malignant transformation remain incompletely characterized. Recent studies of cuproptosis indicate that copper overload can disturb mitochondrial metabolic programs in tumor cells. This rationale prompted us to e...

Practical applications of artificial intelligence in infectious disease surveillance and control: opportunities, challenges, and ethical considerations.

BACKGROUND: Artificial intelligence (AI) has been increasingly recognized as a public health tool with applications ranging from epidemiology, pandemic preparedness to infection control. Despite these advances, the integration of AI presents significant risks that demand careful oversight. OBJECTIVES: The objectives of this review are to (1) present practical AI platforms that aid clinicians, rese...

Dynamic prediction of HIV-related incomplete immune reconstitution: A multicenter, large cohort study using advanced joint modeling.

Incomplete immune reconstitution (IIR) is a serious complication affecting 10 to 40% of people living with HIV (PLWH) despite effective antiretroviral...

Point-of-care detection for respiratory diseases: From samples and biomarkers to principles and applications.

Early screening can significantly reduce the severe morbidity and mortality of respiratory diseases and alleviate the burden on public healthcare syst...

Free-living amoebae predation in nutrient-enriched treated wastewater: ecological potential and machine learning-assisted analysis.

Rapid population growth has intensified pressure on freshwater (FW) resources, significantly impacting agricultural practices and worsening food scarc...

Data-driven optimization of siderophore fermentation by Bacillus altitudinis AS19 and investigation of AS19's antifungal properties against Candida albicans.

Candida albicans is a common opportunistic pathogenic fungus capable of causing severe infections when host immunity is compromised or when the normal...

Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach.

Accurate forecasting of viral disease outbreaks is crucial for guiding public health responses and preventing widespread loss of life. Recently, Physi...

Engineering Organoid Platforms for Pathogenesis Research.

Emerging and re-emerging infectious diseases ranging from the 1918 H1N1 influenza pandemic to the recent SARS-CoV-2 and monkeypox virus outbreaks cont...

Thin fabric pressure sensors and TinyML smart gloves for edge IoT.

Wearable human-machine interfaces require flexible sensing, low-latency processing, and secure data handling for practical edge IoT applications. This...

HBV-Specific T Cell Responses for Short-Term Hepatitis Progression Prediction: A Comparative, Interpretable Machine Learning Study.

BACKGROUND & AIMS: As central determinants of viral control and immunopathology, hepatitis B virus (HBV)-specific T-cell responses provide more clinic...

Artificial Intelligence in Food-Nutrition-Health Research: From Multimodal Data Integration to Precision Intervention.

Artificial intelligence (AI) is transforming food-nutrition-health research by enabling pattern recognition in complex, high-dimensional datasets that...

Integrating gut‑brain axis insights into bundled nutrition care for critically ill patients: From mechanisms to implementation (Review).

Critical illness induces a marked disruption of the gut‑brain axis, which is characterized by systemic inflammation and the rapid collapse of intestin...

Cross-Vendor Robustness of a Hybrid Deep Learning Framework for Four-Stage Periodontitis Classification on Panoramic Radiographs.

OBJECTIVES: Although deep learning for periodontitis diagnosis on panoramic radiographs has advanced rapidly, most studies use single-vendor data and ...

Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care.

BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving prediction, monitoring, and treatment optimization acr...

Mask-aware biased graph learning for marine chlorophyll-a spatiotemporal forecasting under high missing rates.

Precise coastal chlorophyll-a prediction is essential for marine ecosystem assessment and harmful algal bloom warning. Nonetheless, satellite-based ch...

Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.

Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...

Bifurcation and chaos design of radial basis neural network for predictive modeling of fractional double-strain HIV co-infection model with intercellular delays and stochastic effects.

The aim of the present study is to obtain the numerical solutions of the fractional double-strain HIV co-infection model with intercellular delays and...

Adaptive ventilation based on cough detection and localization for airborne infection control in vehicles.

Cough-generated pathogen-laden aerosols can lead to airborne transmission of infectious diseases inside vehicle cabins, where occupants share a confin...

ViraLite: an ultracompact HIV viral load self-testing system with internal quality control.

Effective antiretroviral therapy has transformed HIV into a manageable chronic condition, provided viral suppression is maintained through routine vir...

Modelling Future Evolution of the Antarctic Ice Sheet With Explainable Machine Learning.

The accelerating effects of climate change, particularly rising sea levels resulting from melting land ice, require accurate predictions of ice sheet ...