Latest AI and machine learning research in public health & policy for healthcare professionals.
Family history, body mass index (BMI), and ethnicity are three key, well-established determinants of susceptibility to type 2 diabetes mellitus (T2DM), reflecting genetic predisposition, modifiable metabolic risk, and biological as well as social influences, respectively. These factors interact in complex, non-linear patterns that are not fully captured by conventional risk prediction models. This...
Computational medicine uses mathematical modelling, high-performance computing, and the availability of large-scale biomedical data to study multiscale complex diseases. This review synthesises recent developments in in silico oncology, neurology, and epidemiology, highlighting their shared methodological foundations in systems theory and complex networks. We discuss how combining mechanistic appr...
BACKGROUND: Exposure to nitrogen dioxide (NO2), ozone (O3), fine particulate matter (PM2.5), and heat has previously been associated with preterm birt...
We previously established an interpretable combinatorial data-mining framework to identify combinations of clinical factors predictive of heart failur...
INTRODUCTION: Laboratory medicine remains the cornerstone of disease detection, clinical management, monitoring, and public health surveillance. Incre...
Scientific exercise monitoring is significant for injury risk prevention and training outcome promotion. Wearable biosensing technologies have emerged...
Haemoglobinopathies remain among the most common monogenic disorders worldwide, with sickle cell disease (SCD) and various forms of thalassemia posing...
INTRODUCTION: Facial hyperpigmentation is a primary marker of skin aging in Asian populations. While many artificial intelligence (AI)-based aging sim...
BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is a major nosocomial pathogen that can be carried asymptomatically or cause invasive i...
INTRODUCTION: This study aims to develop a Conversational AI-based illegal filming prevention education program (C-IFPE) for South Korean adolescents,...
BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complicatio...
Vitamin B12 is essential for neural function, red blood cell formation, and DNA synthesis, yet its deficiency persists as a global health burden drivi...
Artificial intelligence medical devices are increasingly deployed in clinical practice, yet practical approaches to post-deployment monitoring remain ...
Intimate partner and sexual violence (IPV/SV) remain pervasive global public health issues. Prevention efforts typically occur at the primary level (p...
Electrocardiography (ECG) is a widely adopted modality for monitoring cardiac rate and rhythm and identifying various abnormalities of the cardiac ele...
RATIONALE AND PURPOSE: Periodontitis is a chronic multifactorial inflammatory disease linked to systemic conditions including cardiovascular disease a...
BACKGROUND: Deep demographic ageing is triggering a twin crisis in healthcare: a rising prevalence of multimorbidity among older adults and a severe g...
BACKGROUND: Case definitions are essential for effectively communicating public health threats. However, the absence of a standardized, machine-readab...
Credit card fraud detection is a difficult applied machine learning problem. It combines extreme class imbalance, temporal non-stationarity, and a sha...
OBJECTIVES: The application of large language models (LLMs) to systematic review tasks is rapidly expanding, yet the transparency and methodological r...