Universal precautions

Development and validation of a machine learning model to preoperatively predict very early recurrence in patients with hepatitis B virus-related hepatocellular carcinoma.

Very early recurrence (within one year) after curative hepatectomy significantly impairs long-term survival in patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Accurately predicting this risk preoperatively is crucial for adjusting clinical decision-making. This study aimed to develop and externally validate a robust machine learning model using exclusively routinely a...

Advances in Antiviral Drug Development Targeting Viral Proteases.

Viral proteases are critical targets in antiviral drug development due to their essential role in the viral lifecycle and high conservation across viral strains. This review summarizes the recent progress of antiviral drugs based on protease structures, with a focus on the structural characteristics and inhibitor design strategies targeting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV...

Sex Hormone Receptors, HBV Integrations and Their Prognostic Predictive Value Among Hepatocellular Carcinoma Patients.

Hepatocellular carcinoma (HCC) related to hepatitis B virus (HBV) infection predominantly affects males, yet few studies have investigated the associa...

Genomic insights into antimicrobial resistance and isolation source classification of Cronobacter sakazakii from infant and toddler food in the United States.

Cronobacter sakazakii is an opportunistic foodborne pathogen associated with severe infections in infants, linked to powdered infant formula (PIF) and...

Artificial intelligence in molecular diagnostics for pandemic preparedness.

INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids, are indispensable tools for early pathogen identification...

Carotid inflammation on FDG-PET is associated with lower cognitive performance in people with treated HIV infection.

OBJECTIVES: Carotid atherosclerosis is an established risk factor for cognitive impairment. FDG-PET detects subtle inflammatory changes in the arteria...

Hepatitis B virus spreading via Beddington-DeAngelis incidence function and feed-forward neural network with optimal control.

Using an appropriate mathematical model, this study aims to examine the transmission dynamics and optimal control of hepatitis B virus spreading, empl...

From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification.

Selecting an appropriate method to quantify arbuscular mycorrhizal fungi (AMF) colonization in plants can be challenging, particularly for non-experts...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

Spatial distribution and determinants of antimicrobial resistance in livestock across pathogen types, animal species and antimicrobial classes.

Antimicrobial resistance (AMR) in livestock is a growing global health concern with important implications for food security, human and animal health....

Electronegative, Transparent, and Flexible Triboelectric Electrodes via Three-Dimensionally Stacked Interconnect Structure with Cross-Interface Electron Transport.

Flexible and transparent triboelectric nanogenerators (TENGs) have exhibited tremendous application potential in the fields of human-machine interface...

Large-scale discovery platform enables identification of peptides targeting drug-resistant candidiasis.

Natural products have an unparalleled track record as sources of clinical drugs. Among them, nonribosomal peptides (NRPs) stand as one of the most the...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/B...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent an emerging frontier in liver fibrosis assessment....

Characterization and determination of the immunomodulatory activity of intestinal microbiota microorganisms isolated from free-range Cornu aspersum snails in olive groves before and after aestivation.

The present study investigated the impact of aestivation of free-range snails on the intestinal microbiota and its potential to protect the host from ...

Automated deep learning-based retinoschisis and detachment volume measurement in pathological myopia with posterior scleral contraction.

PURPOSE: This study developed an automated deep learning-based system to quantify retinoschisis and detachment volume (RDV) in pathological myopia (PM...

Deep learning models based on post-procedural angiography for predicting the future risk of in-stent restenosis.

In-stent restenosis (ISR) remains a significant complication after percutaneous coronary intervention. Identifying patients at high risk for ISR from ...

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning.

The ability of compounds to permeate and accumulate in bacterial cells is a critical determinant of antibiotic efficacy. Better therapeutics are urgen...

Plant-derived compounds and artificial intelligence: Outsmarting microbial pathogens and antimicrobial resistance.

BACKGROUND: From the discovery of the first antimicrobial drug to nowadays, the development of antimicrobial resistance (AMR) - a silent pandemic amon...

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...