Universal precautions

Communicable diseases platform (CDP): Real-Time clinical analytics for infections.

OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantly to paediatric hospital presentations and admissions. Existing surveillance systems often require retrospective manual data collation and focus on either demographic or clinical data, not both. The Communicable Diseases Platform (CDP) is a dynamic data platform that aggregates both data types for a...

Soil microbial diversity, stability, and function are enhanced by cover cropping: A machine learning-based pooled analysis of Mississippi agroecosystems.

Cover cropping has emerged as a pivotal strategy to enhance soil health and microbiome functionality across diverse agroecosystems. However, the extent to which cover crops reshape microbial diversity, composition, functional capacity, and ecological stability remains insufficiently understood, particularly within heterogenous environments like Mississippi. In this study, we conducted a comprehens...

Public health surveillance and outbreak preparedness for mpox.

PURPOSE OF REVIEW: The 2022 global mpox outbreak showed that surveillance systems were not ready to quickly detect or adapt to the new dynamic of huma...

Wavelet-Based Frequency Replacement and Edge Enhancement for Semi-Supervised Fetal Ultrasound Image Segmentation.

OBJECTIVES: Ultrasound image segmentation remains a significant challenge due to inherent low contrast and blurred anatomical boundaries. Fully superv...

Cross-omics interpretable neural network for discovery of molecular markers in prostate cancer.

Determining molecular markers that mediate clinically aggressive phenotypes in prostate cancer is a significant challenge. While traditional linear mo...

High-Degree-of-Freedom Fabric-Based Soft Glove with Dexterous Thumb Assistance.

Fabric-based soft gloves, due to their safety, light weight, and compliance, exhibit promising potential in assisting individuals with hand impairment...

A multicenter multinational retrospective study of the 1-year natural history of LI-RADS 3 observations in patients with cirrhosis.

OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS) 3 observations on contrast-enhanced MRI in cirrh...

Exploring the use of artificial intelligence in the promotion of sexual health: a cross-sectional assessment.

BackgroundArtificial Intelligence (AI) is an emerging approach in addressing sexual health including HIV and other sexually transmitted infections (ST...

Machine Learning-Based Multi-Omics Integration for Identification of Hepatocellular Carcinoma Biomarkers in an Egyptian Cohort.

Hepatocellular carcinoma (HCC) ranks among the most common causes of cancer-related deaths globally. The high incidence of HCC is largely linked to ch...

SERS on analyte-enriched blood for rapid, culture-free sepsis recognition and causative pathogen identification with super operational neural networks.

Sepsis remains a leading cause of morbidity and mortality, yet routine diagnostics are slow, culture-dependent, and often lack the sensitivity or spec...

Early prediction of immunological non-responders in people living with HIV using machine learning: Model development and validation in multicenter cohorts in China.

BACKGROUND: Despite antiretroviral therapy (ART), 10-40 % of people living with HIV (PLWH) fail to normalize CD4+ T cells, known as immune non-respond...

HERC5, IFI6, IFIT3, and OASL as potential diagnostic biomarkers for systemic lupus erythematosus: an integrated bioinformatics, machine learning and clinical validation.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a life-threatening autoimmune disorder causing multi-organ damage. Current diagnostic methods are hi...

CRISPR as a next-generation environmental biosurveillance tool for air, land, and water.

Clustered regularly interspaced short palindromic repeats (CRISPR)-based environmental biosurveillance (CRISPR-eBx) offers a portable, specific, sensi...

Deciphering the rules of regulated cell death subroutines by in silico methods.

BACKGROUND: Regulated cell death (RCD) is essential for organismal development, as it plays key roles in organ formation, pathogen defense, and the ma...

Structure of the Enterobacter pan-genome is revealed using machine learning.

The growing availability of publicly accessible Enterobacter genomes offers an opportunity to reveal the structure of its pangenome, uncovering the ca...

Multifactor machine learning models for predicting urinary tract infections: a pilot study.

PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone health, also regulates innate and adaptive immunity ...

Molecular diagnostics in clinical microbiology: Advances, applications, and future directions.

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly sensitive detection of infectious agents, signifi...

Deep learning assisted PfAgo-programmable genetic circuit for ultrasensitive visual detection of foodborne pathogen in one-tube.

Foodborne pathogens represent a significant threat to public health. The development of rapid and sensitive detection methods is critical for the effe...

Plant immune inducers from fundamental research to applications: Past achievements, current challenges, and future perspectives.

Plant pathogens cause substantial global crop losses, posing a serious threat to food security. Conventional chemical pesticides face increasing chall...

Machine Learning-Augmented Graphene Transistor Biosensing: Quantitative Platform Validation and Immunotesting of Hepatitis E.

Graphene-based chips face persistent sensor-to-sensor variability due to manufacturing defects and polymer contamination, limiting their analytical re...