Public Health

Host-Pathogen Network and Eco-Evolutionary Drivers of Avian Influenza Transmission in Wild Birds.

Multi-host pathogens vary in how they utilise different hosts, yet the traits determining which species occupy central positions in transmission networks remain poorly understood. We tested whether the wild bird-avian influenza virus (AIV) network exhibits a scale-free structure, implying that hub hosts disproportionately contribute to transmission and whether ecological and evolutionary traits jo...

[Artificial intelligence in diabetic retinopathy screening].

INTRODUCTION: Visual impairment and blindness continue to represent a substantial disease burden in Hungary. According to national epidemiological data, the combined prevalence of bilateral blindness and severe visual impairment among individuals aged 50 years and older is approximately 0.9%, and international estimates suggest that around 90% of vision loss cases could be prevented or treated wit...

Development and External Validation of a Large Language Model-Based Clinical Decision Support System for Colonoscopy Surveillance Intervals.

BACKGROUND: Adherence to guideline-based colonoscopy surveillance intervals remains suboptimal. Large language models (LLMs) show promise for automati...

AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.

The ability to reliably predict protective immunity against infectious diseases remains a central challenge in immunology, vaccine development, and pu...

Analyzing Global Threat of Lumpy Skin Disease Virus Infection: A Comparative Study of a Time Series Model and Machine Learning Models Across 10 High-Risk Countries.

Lumpy Skin Disease (LSD), caused by the Lumpy Skin Disease Virus (LSDV), which is a part of the family of Poxviridae, subfamily Chordopoxviridae, and ...

Advancing child health: forecasting the next great research achievements.

Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of P...

Machine-learning prediction of 30-day infection-related hospitalization in advanced CKD.

BACKGROUND: Patients with advanced chronic kidney disease (CKD), defined as having an estimated glomerular filtration rate (eGFR) < 45 ml/min/1.73 m²,...

Development and external validation of multiple machine learning-based models for breast cancer-specific survival prediction in postoperative patients with invasive breast cancer: a study based on the SEER database and an external cohort.

BACKGROUND: Patients with invasive breast cancer (IBC) account for the vast majority of breast cancer cases and exhibit significant heterogeneity; hen...

Pediatric post-acute sequelae of SARS-CoV-2 infection in Taiwan: Insights from the DISCOVER cohort.

The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by s...

Shift-Specific Patterns of Nursing Workloads in the Emergency Department: AI Powered Analysis.

AIM: To identify and differentiate workload patterns across shifts and to provide evidence for optimizing nursing workforce allocation in emergency de...

Advances in rapid microbiological testing for animal diseases: A review.

Animal pathogenic microorganisms destabilize livestock economies and jeopardize human health through zoonotic transmission and foodborne illness. Trad...

Development and validation of a serum microRNA biomarker panel for bovine Johne's disease.

Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD manage...

AI-microbial hybrid biosensors: the next generation of intelligent detection systems.

The convergence of artificial intelligence (AI) and microbial biosensor technology is transforming pathogen detection, environmental surveillance, ant...

Innovative strategies for early detection of cardiotoxicity: artificial intelligence and multi-modality collaborative models.

Cancer therapeutics account for a significant proportion of new drug development, reflecting advances in diagnosis, treatment, and disease control. Ho...

Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems.

BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations off...

Intersection of gender and class in the assessment of self-rated health in the Spanish population: a classification tree study.

AIM: This study assesses the influence of various specific health conditions as activity limitations and groups of chronic diseases, in estimating poo...

Towards intelligent railway monitoring: A novel hybrid deep learning architecture for railway obstacle detection.

Railways are among the most efficient modes of transportation, capable of moving large quantities of goods and passengers over long distances at relat...

Evaluation of new expert rules for the detection and differentiation of carbapenemase-producing Enterobacterales within the French epidemiological context.

UNLABELLED: The increasing prevalence of carbapenemase-producing Enterobacterales (CPE) requires reliable diagnostic tools. This study evaluated the p...

Biosurveillance and early outbreak detection of rabies in settings with limited laboratory capacity using spatiotemporal clustering and a machine learning framework.

Rabies is an important but often neglected zoonotic disease with significant public health, veterinary, and economic impacts. Inadequate surveillance ...

Joint trajectories of sleep duration and depressive symptoms and risk of incident multimorbidity: a longitudinal analysis with machine learning prediction.

BACKGROUND: Sleep disturbances and depressive symptoms frequently co-occur in older adults. Both conditions follow distinct, time-varying trajectories...