Public Health & Policy

A Critical Systematic Review of Modelling Approaches and Methodologies used in Hyperlipidaemia Economic Evaluations.

BACKGROUND AND OBJECTIVES: Health economic modelling integrates evidence from multiple sources and relies on transparency to support reimbursement decisions. Hyperlipidaemia is a major contributor to cardiovascular disease and is routinely evaluated within health technology assessment frameworks. This systematic review examines health economic models of hyperlipidaemia, evaluates the methodologica...

Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance.

The convergence of artificial intelligence (AI), blockchain technology, and health care represents one of the most transformative yet technically challenging frontiers in computational medicine. As health care systems adopt data-driven paradigms for precision medicine and clinical decision support, the need for secure, privacy-preserving, and collaborative learning frameworks has become critical. ...

Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study.

BACKGROUND: Laboratory testing is a cornerstone of diagnostic decision-making in emergency departments (EDs), yet its overuse contributes substantiall...

A taxonomy of states' approaches to plans of safe care.

BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and Treatment Act (CAPTA), expanding requirements for...

Legal Infoveillance of Unlicensed Medical Practices in South Korea Through Criminal Court Decisions Using Machine Learning: Retrospective Observational Study.

BACKGROUND: Unlicensed medical practices (UMPs) pose a substantial threat to patient safety and public health, but their clandestine nature makes them...

Deep learning completes US flood hazard maps revealing millions exposed to previously unrecognized risk.

Flood maps are essential for disaster preparedness, insurance and climate adaptation, yet US official maps cover only one-third of river channels. Her...

Integrating dietary patterns and metabolomics with machine learning for metabolic syndrome risk assessment in a rural population.

This study aimed to identify dietary patterns and metabolomic signatures associated with metabolic syndrome (MetS) and develop machine learning models...

Can Artificial Intelligence Substitute Dental Public Health Expertise? A Competency-Based Analysis Across Core DPH Domains.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into public health and dentistry, with a range of applications. While these develo...

Influence of sponsorship on betting intentions: from linear to deep learning models.

Sports sponsorship by commercial betting providers is an essential source of income for sports entities worldwide. This study examines the formation o...

Multidomain prediction of education-stratified MoCA-defined mild cognitive impairment in community-dwelling older adults in urban China.

BACKGROUND: Mild cognitive impairment (MCI) is an important public health concern in ageing populations, yet scalable approaches for early identificat...

Clinically reported covert cerebrovascular disease and risk of neurological disease: a whole-population cohort of 367 988 people using natural language processing.

BACKGROUND: The relevance of covert cerebrovascular disease (CCD) in practice is uncertain, partly because estimation of risk in whole clinical popula...

Entomological Surveillance and Arbovirus Screening in Mosquitoes from Central Morocco: First Detection of West Nile Virus in Culex pipiens from the Marrakech-Safi Region.

PURPOSE: Surveillance of arboviral vectors and screening for probable infection is very important for the planning of vector control programs, especia...

Plasma metabolomics enhances risk prediction for lung cancer: a population-based validation study.

Metabolic biomarkers offer promising opportunities for lung cancer risk assessment and early detection. This study aimed to identify metabolites with ...

Molecular Landscape and Advanced Diagnostic Technologies for BRAF Mutations in Cancer: From Quantitative PCR and ddPCR to CRISPR-Based Platforms.

BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyroid carcinoma, colorectal cancer, non-small cell lu...

Regulatory science for AI-based software as a medical device in computational pathology and biomarker-driven drug development.

BACKGROUND: Artificial intelligence (AI)-enabled software is increasingly integrated into digital and computational pathology, driving new regulatory ...

Mapping E-Cigarette Content on Social Media: A Scoping Review of Methods, AI Applications, and Promotional Strategies.

E-cigarette narratives on social media are rapidly evolving alongside the rise of short-form video and advances in artificial intelligence (AI) that e...

Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability.

BACKGROUND: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and minimum dietary diversity remain below the recomm...

Functional Imaging in Hereditary Endocrine Neoplasms: Evolving Modalities and Clinical Implications.

Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their multisystem involvement, variable penetrance, and h...

Ranked placement of phage predation as a determinant of dehydration severity among cholera patients in Bangladesh.

Virulent bacteriophages (phages) can kill bacterial prey, potentially reducing burden of infection. In cholera, a high phage to Vibrio cholerae ratio ...

Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.

Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, sys...