Public Health & Policy

A Validated, Modifiable Proteomic Score from the EXSCEL Trial Predicts Cardiovascular Events in Diabetes.

Adults with type 2 diabetes mellitus (T2DM) are at increased risk for stroke, myocardial infarction, and cardiovascular death, yet individual risk is heterogeneous and incompletely captured by clinical models. In the Exenatide Study of Cardiovascular Event Lowering (EXSCEL), adults with T2DM were randomized to a GLP-1 RA (exenatide) or placebo and followed longitudinally for major adverse cardiova...

MDCU MedUMORE: a national digital platform for equitable and lifelong medical education in Thailand and beyond.

PROBLEM: Inequities in educational infrastructure, faculty availability, and access to continuing professional development contribute to variability in physician preparedness across Thailand, particularly between urban and rural settings. Newly graduated physicians are frequently deployed to resource-limited areas with inconsistent access to structured continuing education and specialist supervisi...

Climate extremes, WASH deficits, and infectious diseases in the Brazilian Amazon: Insights from explainable machine learning (2010-2022).

Infectious diseases transmitted through environmentally mediated faecal-oral pathways and climate-sensitive vector-borne routes remain major public he...

Professionals' Perspectives On the Role of Advanced Technologies in Responsible Gambling.

Problematic gambling is associated with substantial individual and societal harms, which may be intensified by the accessibility, anonymity, and capti...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

Reduction in suicides and suicide attempts following implementation of AI-based video surveillance in the Stockholm metro system: an intervention study.

BACKGROUND: Over 700,000 suicides occurring globally each year are a major public health issue. Railways and metros provide a lethal means of suicide,...

Balancing innovation and risk: artificial intelligence in travel medicine.

Artificial intelligence (AI) is increasingly influencing travel medicine, a field traditionally reliant on expert judgement and static guidelines. Mac...

Readability and Linguistic Characteristics of Alzheimer's Disease and Related Dementias Prevention, Symptom, and Treatment Information from Generative Artificial Intelligence Chatbots.

PURPOSE: To examine the readability and linguistic characteristics of Alzheimer's disease and related dementias (ADRD) prevention, symptom, and treatm...

Unraveling the adverse outcome pathways of metabolic dysfunction-associated steatotic liver disease triggered by environmental mixtures via biological knowledge-driven machine learning.

Environmental pollutant mixtures are potential risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD), yet their joint effe...

Social Determinants of Health in Psychiatric Disorders: Exciting Opportunities for Biopsychosocial Research and Clinical Care.

Social determinants of health (SDoHs) are increasingly recognized as important contributors to the development, course, and outcomes of psychiatric di...

Spatial distribution and determinants of antimicrobial resistance in livestock across pathogen types, animal species and antimicrobial classes.

Antimicrobial resistance (AMR) in livestock is a growing global health concern with important implications for food security, human and animal health....

Prioritising parameters to minimise blood transfusions for postpartum haemorrhage: A machine learning study using national population data.

BACKGROUND: Postpartum haemorrhage (PPH) accounts for approximately 27% of maternal deaths worldwide and often requires blood transfusion, along with ...

From Cardioprotection to Trial Design: Rethinking Cardiac Safety in Oncology.

PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary c...

The Development Path of Gynecological Cytology after Papanicolaou: from Bethesda to Artificial Intelligence and Personalized Medicine.

BACKGROUND: Cervical cancer is the fourth most common cancer whose incidence was significantly reduced with the help of Pap smear and organized cervic...

Time-series prediction of adverse birth outcomes in the U.S. using multilayer perceptron neural networks.

Adverse birth outcomes (ABOs), including preterm birth, low birth weight, low Apgar scores, and neonatal mortality, remain major public health challen...

Toward a global ecosystem for health professions education: harnessing open educational resources and generative AI with shared governance.

The global health workforce faces a projected shortage of more than 11 million health workers by 2030, with the most severe shortfalls in low- and mid...

Phenotyping population-level chronic condition prevalence: The importance of forcing factors from the ecological framework.

OBJECTIVE: The primary health challenges currently facing the United States (U.S.) and many other countries around the world are largely due to patien...

Psoriatic Disease Across Dimensions: Global Epidemiology, Comorbidity, and Artificial Intelligence in Treatment Prediction.

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting featured a new "Soapbox: Rapid fire presentati...

BHOD: a bone health optimized dietary pattern designed for osteoporosis prevention.

Existing dietary patterns were not specifically designed to target osteoporosis and lack the precision required for effective prevention. We aimed to ...

FireSmoke-FL: a privacy-preserving federated learning framework for real-time fire and smoke detection.

The early detection of fire and smoke is a significant aspect in the prevention of disasters in smart cities and the development of extensive monitori...