Public Health

Deriving Clavien-Dindo Classification from Administrative Data: Development and External Validation in Hepatobiliary Surgery.

INTRODUCTION: Routine electronic health records (HER)/administrative data could enable time- and cost-efficient, real-time surveillance and health-economic evaluation of hepatobiliary postoperative complications, yet no validated algorithm currently exists. We aimed to develop and externally validate an interpretable procedure-code-based, internationally portable algorithm classifying 30-day compl...

Statistical methods for retrospective harmonization of longitudinal epidemiological data: a scoping review.

Data harmonization is a prerequisite for joint cohort analyses. In this review, we aim to identify and contrast statistical methods for retrospective harmonization of longitudinal data. We performed a scoping review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Studies were included if they described statistical methods f...

Post-quantum cognitive zero trust architecture for healthcare IoT devices.

Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vulnerable to both classical and emerging quantum-en...

Spatio-temporal ensemble machine learning forecasts of animal leptospirosis in enzootic Indian States using integrated environmental predictors.

Leptospirosis is a significant zoonotic disease in India, with Gujarat and Karnataka recognised as enzootic states experiencing recurrent animal and h...

A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution.

Early identification of emerging dominant variants of pathogens such as SARS-CoV-2 is important for effective public health responses, yet existing ap...

Advancing poultry health: A meta-analysis of epitope-based and peptide-based vaccines against Avian Pathogenic E. coli with machine learning insights.

INTRODUCTION: Avian Pathogenic Escherichia coli (APEC) causes colibacillosis in poultry, which leads to tremendous economic losses. Traditional contro...

Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries.

BACKGROUND: Rapid population aging has profoundly altered the epidemiological profile of gastrointestinal diseases in individuals aged ≥75 years. Alth...

Vaccination attitudes and intentions reported by Canadian children and their parents in the CHILD Cohort Study during the COVID-19 pandemic.

BACKGROUND: Understanding if and how vaccination attitudes are shared among family members can help inform strategies to increase uptake. We assessed ...

Self-Reported Health Outcomes in Metabolic Health YouTube Comments: Cross-Sectional Study and Rule-Based Natural Language Processing Framework Development and Validation.

BACKGROUND: YouTube is increasingly used for healthcasting, the sharing of evidence-based dietary and lifestyle interventions by domain experts. In th...

Construction of a sports bio mechanical injury prediction and AI warning system based on wearable sensors.

BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of sports medicine and health management. Traditiona...

Cancer immunotherapy: mechanisms, clinical applications, resistance and future directions.

Cancer immunotherapy has revolutionised oncology by utilising immune-mediated mechanisms to achieve durable anti-tumour responses and long-term clinic...

High-resolution automated mapping of potential Aedes larval container habitats using drone imagery and supervised machine learning in Dar es Salaam, Tanzania.

Larval source management is a key strategy to control the spread of Aedes-borne viral diseases including dengue, Zika, chikungunya, and yellow fever. ...

Enhancing Osteosarcoma Survival Predictions: A Comparative Study of a Multicomponent-Model Machine Learning Approach Integrating SEER and NCDB Data Sets Versus Conventional Single-Data-Set Modeling.

BACKGROUND: Osteosarcoma treatment decisions require accurate prognostic assessment, yet utilization of machine learning (ML) models is problematic be...

Navigating the regulatory landscape of herbal medicines: A global comparison of India, China, Europe, the United States and Japan.

The use of herbal medicines is expanding rapidly worldwide, but regional regulatory systems vary greatly, leading to variations in quality, safety and...

AI-IoT driven system for agricultural pest outbreak risk prediction.

Invasive pests pose a significant threat to agricultural production, particularly maize crops, with severe implications for food security. Timely dete...

Overdiagnosis in renal cancer: the hidden consequence of modern imaging.

The global burden of renal cell carcinoma (RCC) has risen substantially over the past three decades, while mortality rates have remained largely stabl...

The Italian hand hygiene project: A joint-commission Italian network analysis.

BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global c...

Multi-epitope tick vaccines: From computational design to field deployment, immunoinformatics approaches, validation challenges, and translational pathways.

Ticks are major vectors of pathogens affecting both humans and animals, yet effective and sustainable control strategies remain limited. Conventional ...

T-cell-mediated immunity to influenza A (H2N3): implications for caccine efficacy and cross-subtype protection.

Influenza A viruses pose a significant pandemic threat, with H2N3 in particular representing a subtype of particular concern due to limited population...

AI-Supported, Integrative Prediction of Postoperative Delirium: Protocol for the CONFUSED Study.

BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older surgical patients, characterized by acute cognitive dysfuncti...