Universal precautions

Predicting VRE Infection After Liver Transplantation With a Time-Updated Colonization Score.

BACKGROUND: Vancomycin-resistant Enterococcus (VRE) infection is a life-threatening complication after liver transplantation (LT). This study aimed to identify risk factors and develop a predictive score for post-transplant VRE infection in LT recipients. METHODS: We conducted a single-center, retrospective cohort study including all adult patients who underwent LT between 2010 and 2022. Patients ...

Integrative multi-omics and machine learning identify mitochondrial biomarkers for pathogen-specific sepsis stratification and translational prioritization.

BACKGROUND: Sepsis is a leading cause of critical illness and mortality, yet substantial heterogeneity limits risk stratification and biomarker translation. Mitochondrial dysfunction is widely implicated in sepsis, but genetically supported, multi-layer regulatory features and their clinical relevance remain incompletely characterized. METHODS: We integrated publicly available sepsis GWAS summary ...

Machine learning prediction of weight gain after antiretroviral therapy initiation in people with HIV: Insights from a large french real-world cohort.

Excessive weight gain after initiation of antiretroviral therapy (ART) has become a recognized concern among people living with HIV. Individual weight...

NatProCP: A plant-derived natural products database for crop protection targeting SDH1 protein of Magnaporthe oryzae.

Research on natural products has grown rapidly in recent years, with various therapeutic compounds reported in the scientific literature for preventin...

Artificial Intelligence-based Gram Stain Classification: Accuracy and Clinical Utility in Positive Blood Cultures.

INTRODUCTION: With the rapid advancement of artificial intelligence (AI) technology, AI has been applied to the detection of pathogens that cause infe...

Atomic Fe-Centered Hemin-TiO2 Graphdiyne Nanozyme Sensor for Colorimetric Fingerprinting of Bacterial Extracellular Vesicles.

Accurate identification of urinary pathogens is essential for the timely diagnosis and effective management of urinary tract infections (UTIs). Bacter...

Deep Learning-Based Vitiligo Activity Evaluation Using Wood's Lamp Imaging: A Clinical Decision Support.

Vitiligo is an autoimmune disorder characterized by heterogeneous and unpredictable depigmentation, which poses substantial challenges for objective d...

Common factors and unique pathways for linkages between HIV/STI prevention and syndemic behaviours in high-risk youth: protocol for a secondary analysis of harmonised data from six clinical trials.

INTRODUCTION: HIV/sexually transmitted infection (STI) prevention interventions are only modestly successful among youth, particularly for young peopl...

Host-focused immunity, metabolism, and diagnostic innovation for precision control of tuberculosis globally.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains one of the deadliest infectious diseases worldwide. Despite advances in treatme...

YTHDF2 promotes m6A-modified HSPA2 translation to restrict Newcastle Disease Virus.

Newcastle disease virus (NDV), a highly contagious avian pathogen, causes devastating economic losses in poultry worldwide, yet the role of epitranscr...

Proteomics-based machine learning model for predicting secondary infection in HBV-related liver failure.

Patients with Hepatitis B Virus-related liver failure are highly vulnerable to secondary infections (SI), yet early predictive tools remain limited. I...

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Cryo-electron tomography (cryo-ET) has emerged as the preferred technique for visualizing the organization of macromolecular complexes in situ and res...

Impact of Annotation Level on Multisequence MRI Models for Preoperative Microvascular Invasion Prediction in Hepatocellular Carcinoma.

Purpose To evaluate the performance of deep learning models integrating multimodal data for predicting microvascular invasion (MVI) in hepatocellular ...

Tape-assisted nanoplasmonic biosensors for facile protein-on-chip visualization and multiplexed point-of-care diagnostics.

Visual point-of-care testing (POCT) technologies convert biomolecular events into naked-eye readable signals. These systems offer rapid assay times, u...

Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis.

Lack of non-invasive biomarkers hinders pulmonary tuberculosis (PTB) management. We developed a multidimensional machine learning framework to systema...

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning.

Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary ...

Harnessing Phage-Based Nanosensors for Advancing Ultrasensitive Point-of-Care Detection of Foodborne Pathogenic Bacteria.

The persistent global challenge of foodborne pathogens necessitates the development of ultrasensitive point-of-care (POC) detection technologies. Howe...

AI-driven forecasting of Vibrio vulnificus in the Southern Baltic Sea using high-resolution data.

Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer sea temperatures can create optimal conditions fo...

Exploring the role of phage resistance by using label-free SERS for biochemical profiling of gram-negative pathogen Pseudomonas aeruginosa strains with machine learning approach.

Pseudomonas aeruginosa (P. aeruginosa) is an emerging gram-negative pathogen, accountable for diverse and chronic nosocomial infections, particularly ...

Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and Blood-Borne Infection Testing and Diagnostic Laboratory Data: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortality in people living with HIV (PLWH), the prevalenc...