Public Health & Policy

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% o...

Smart Sensors, Smarter Hearts: The Wearable Revolution in Cardiology.

Cardiovascular disease (CVD) continues to claim more lives than any other condition worldwide. Tradi...

Optimising pandemic response through vaccination strategies using neural networks.

Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to bal...

Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients.

INTRODUCTION: Postoperative delirium (POD) adversely affects clinical outcomes among older adults un...

The plastisphere as a nexus for antimicrobial resistance: micro(nano)plastics in pathogen colonization, gene transfer, and global health risks.

Microplastics (MPs) and nanoplastics (NPs) have emerged as pervasive vectors of antimicrobial resist...

Digital diagnostics, biomarkers and therapeutics in an evolving healthcare system: From promise to practice.

Health care is shifting towards a digital-guided system, integrating digital diagnostics, biomarkers...

A Knowledge-Guided Bi-Modal Network for the Classification of Anterior Chamber Angle Images.

Glaucoma is a leading cause of irreversible blindness globally. When glaucoma is diagnosed, Anterior...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

The role of digital tools and artificial intelligence in supporting antimicrobial stewardship: Study protocol for a systematic review.

INTRODUCTION: Since the post-antibiotic era, there has been significant difficulty in treating infec...

HOW GENETICS CHANGED OR WILL CHANGE THE THERAPY IN THYROID NODULES WITH INDETERMINATE CYTOLOGY.

The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of in...

Predicting the Timing of the Metabolic Inflection Point in Type 1 Diabetes Progression Using Machine Learning and Survival Analysis Models.

We undertook this study to improve early identification of the metabolic inflection point (IP) prece...

[Advances in integrated antimicrobial resistance diagnostics: quantitative, qualitative and AI-driven approaches].

The rapid global increase in antimicrobial resistance complicates the treatment of life-threatening ...

Causal and spatiotemporal deep learning for dengue forecasting and extreme outbreak risk under climate variability: a framework from Vietnam.

Population-Level Digital Stroke Surveillance: Building a Fair and Accurate ICD-10 Detection Model.

Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for ...

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance.

BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly fo...

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

The United States health insurance system is at a critical crossroads. Inflating costs, fragmented c...

Challenges and Opportunities for Improved Tuberculosis and HIV Prevention in South America.

Tuberculosis (TB) and human immunodeficiency virus (HIV) cause significant morbidity and mortality i...

Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity.

Early-stage infectious disease outbreaks impose acute pressure on hospital supply systems, particula...

Behavioural, cognitive, and computational risk factors for type 2 diabetes: A systematic review.

BACKGROUND: Type 2 diabetes mellitus represents a global public health challenge, with rising preval...

Automated classification of site-specific cutaneous photodamage using a convolutional neural network and three-dimensional total body photography.

BACKGROUND: Early detection of melanoma presents a major public health challenge. Growing evidence s...

The use of smart surveillance technologies for suicide prevention in public spaces: a professional stakeholder survey from the United Kingdom.