Public Health

Colorectal Cancer Screening in Hereditary and Familial High-Risk Populations: Best Practices and Future Directions.

Colorectal cancer (CRC) remains a leading cause of cancer-related morbidity and mortality worldwide yet is largely preventable through effective screening and surveillance. While most CRC cases are sporadic, a substantial proportion occur in individuals at increased risk due to hereditary cancer syndromes or family history who require tailored screening strategies different from population-based a...

A bibliometric analysis of global research trends and emerging hotspots on suicide and depression among children and adolescents.

BACKGROUND: Suicide and depression among children and adolescents represent critical global public health challenges. Despite a rapidly growing body of literature, the overall knowledge structure, research trends, and emerging directions in this field remain insufficiently synthesized. OBJECTIVE: This study aimed to perform a comprehensive bibliometric analysis of research on suicide and depressio...

Artificial Intelligence in Vascular Surgery: Translating Innovation into Clinical Practice: A Narrative Review.

Artificial intelligence (AI) is rapidly reshaping modern medicine, with expanding applications in vascular surgery ranging from diagnostic imaging and...

AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies.

Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardization. This study aimed to identify the optimal deep...

Plant Biofactories for Vaccination: Progress in Edible Vaccine Technologies as a Sustainable Approach to Global Immunization.

Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, disproportionately affecting populations in low-inco...

Emerging Novel SARS-CoV-2 Subvariants and the Advantages of AI-ML in Deciphering the Mutation Trends, Genomic Surveillance and Vaccine Development.

BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and NB.1.8.1 subvariants of JN.1. With Singapore, Hong...

Advancing outbreak detection: Hybridizing machine learning with wavelets for weekly dengue case forecasting.

BACKGROUND: Traditional surveillance systems often struggle with the volatility of weekly case data, limiting timely prevention and control efforts. I...

Anthropogenic landscapes and vector-borne disease dynamics: Unveiling the complex interplay between Human Footprint and disease transmission in Colombia.

Anthropogenic landscape transformations are fundamentally reshaping the epidemiology of vector-borne diseases (VBDs), yet their causal impacts remain ...

Multi-source machine learning for short-term influenza forecasting in Hunan Province, China: a spatiotemporal analysis using surveillance, search, meteorological and air-quality data.

BACKGROUND: Accurate short-term influenza forecasting is important for early warning and public health preparedness, but routine sentinel surveillance...

A decision-theoretic framework for uncertainty quantification in epidemiological modelling.

Estimating, understanding, and communicating uncertainty is fundamental to statistical epidemiology, where model-based estimates regularly inform real...

Air quality and health implications of exposure to ultrafine particle pollution.

AIMS: Ultrafine particles (UFPs) smaller than 100 nm are ubiquitous in polluted air. Although they carry little mass, UFPs have a large exposure surfa...

Virus infections and cancers: from mechanisms to therapeutics.

Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, car...

The rise of medical autonomous care, a paradigmatic turning point for military and civilian delivery of health care.

RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of survival of patients in need of emergent care. Medi...

An enhanced YOLOv10 framework for small-object safety helmet detection on construction sites.

Safety helmet compliance monitoring remains challenging because helmets often occupy only a few pixels in wide-area surveillance images. This study ta...

Predicting COVID-19 severity using machine learning: the role of clinical parameters, blood groups, and vaccination status across age groups.

OBJECTIVES: COVID-19 has had strong impacts on both global health systems and economies. Therefore, understanding disease severity and progression is ...

Association between persistent organic pollutants and malaria incidence in mainland China: a population-based surveillance and modeling analysis.

BACKGROUND: This study investigates malaria incidence trends in mainland China from 2005 to 2020, to elucidate its epidemiological characteristics and...

Large language models as versatile predictive engines for notifiable infectious diseases.

Accurate forecasting of infectious disease cases and deaths is crucial for public health decision-making. Traditional statistical and machine learning...

AI Meets Attitudes: Cross-Sectional Quantitative Study of COVID-19 Vaccine Hesitancy in Alaska's Diverse Communities.

BACKGROUND: The global COVID-19 vaccine rollout faces challenges from persistent hesitancy, especially in rural and underserved regions. Alaska's uniq...

Hidden pathways of antimicrobial resistance: A review of environmental metagenomics and exposure risks in low-resource settings.

Antimicrobial resistance (AMR) is increasingly recognised as a One Health challenge in which environmental reservoirs play an important role in the pe...

Understanding Drivers of Physical Activity Through Explainable Machine Learning: The Role of Disability and Social Determinants.

BACKGROUND: Physical activity among adults with disabilities is influenced by functional limitations, health status, and socioeconomic conditions; yet...