Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Diabetic retinopathy (DR) screening in low- and middle-income countries (LMICs) faces challenges due...
In the US, pre-diabetes and diabetes are increasing in prevalence alongside other chronic diseases. ...
Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...
Accurate prediction of mortality in critically ill patients with hypertension admitted to the Intens...
A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment risks a...
Hypertension is a global health concern with a vast body of unstructured data, such as clinical note...
Biological aging clocks across organs and omics data, including clinical phenotypes, neuroimaging, p...
Pulmonary hypertension (PH) is a severe and progressive vascular disease for which early diagnosis a...
Heart Failure (HF) and Hypertension (HTN) are common yet severe cardiovascular conditions, both of w...
This study aimed to evaluate the impact of socioeconomic disparities on the allocation of second-lin...
Hypertension (HTN) is a major contributor to cardiovascular (CV) morbidity and mortality. Its hetero...
Hypertension is a leading global health concern, significantly contributing to cardiovascular, cereb...
Carotid stenosis, which is atherosclerotic narrowing of the extracranial carotid arteries, is an imp...
Allostatic load refers to the cumulative burden of stress and life events that involve the interacti...
This study aimed to identify prognostic factors associated with poor outcomes of COVID-19 at diagnos...
Hypertension is a major risk factor for cardiovascular diseases. This study proposes a novel hyperte...
Alzheimer’s disease (AD) is a complex neurodegenerative disorder with limited therapeutic options. T...
Left ventricular diastolic dysfunction (LVDD) is most commonly evaluated by echocardiography. Howeve...
Dementia, especially Alzheimer’s disease (AD), is a major global health challenge marked by progress...
Target Trial Emulation (TTE) has emerged as a rigorous framework for causal inference using observat...
Clinical practice guidelines recommend cardiovascular toxicity risk restratification including evalu...