Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: The increasing availability of continuous glucose monitoring (CGM) data has opened new avenues for modeling glucose dynamics in diabetes management. OBJECTIVE: This scoping literature review uniquely explores the full methodological spectrum applied to CGM data analysis, ranging from classical Mechanistic Models (MM) and statistical time series approaches, to modern Artificial Intellig...
The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in cardiovascular disease (CVD) is hindered by a vast and fragmented biomedical literature, which now exceeds 38 million publications indexed in PubMed. To address the central challenge of navigating and synthesizing a huge fragmented biomedical literature base, we applied our validated machine learning-b...
BACKGROUND: Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. W...
Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder with high mortality, necessitating non-invasive methods for early detection and ...
UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal dominant cystic kidney and liver disease, but quanti...
Mexico is facing an increasingly challenging health scenario, marked by the resurgence of emerging and re-emerging diseases. This rise is linked to fa...
BACKGROUND: Stroke is the second leading cause of disability and mortality worldwide. A body shape index (ABSI) is calculated as waist circumference /...
Lumpy skin disease (LSD) is an important transboundary disease of cattle that compromises animal welfare and causes major production and economic loss...
AIMS: This review aims to evaluate the hypothesis that Volatilomics-the comprehensive analysis of volatile organic compounds (VOCs) from breath, skin,...
BACKGROUND: Cardiorespiratory fitness (CRF) is a key predictor of cardiovascular and other health-related diseases in individuals with obesity. CRF is...
BACKGROUND: Visual impairment (VI) affects more than 600 million people globally and significantly reduces quality of life. In Singapore, 20% of adult...
Subgroup analysis is an important tool for studying treatment effect moderation. However, when a subgroup has a relatively small proportion (referred ...
INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their education and job responsibilities differ markedly...
BACKGROUND: Dysphagia is recognized as one of the most common severe complications following cardiac surgery, with the potential to result in adverse ...
Tuberculosis (TB) persists as a leading infectious disease, with progress in global control complicated by emerging drug resistance, limited access to...
BACKGROUND: Heart failure (HF) affects millions of individuals worldwide and shows an increasing trend, constituting a serious public health issue. Co...
BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop and validate a machine learning model to identify ...
AIM: This perspective proposes evidence-informed strategies to advance health literacy equity for migrant domestic workers (MDWs) globally, integratin...
BACKGROUND: Type 2 diabetes mellitus (T2DM) substantially increases the risk of macrovascular complications, including coronary artery disease, cerebr...
The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERventions for You) is a Horizon Europe initiative (GAP 101...