Latest AI and machine learning research in hypertension for healthcare professionals.
Machine learning has proven valuable in developing photoplethysmography (PPG)-based approaches for b...
Depression is a prevalent mental health disorder that significantly impacts well-being and qual...
Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi),...
INTRODUCTION: Observational studies have indicated that individuals with hypertension (HTN) and diab...
Perioperative neurocognitive disorders (PND) are linked to neuroinflammation, a key factor in hypert...
In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significan...
Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...
According to the Food and Agriculture Organization of the United Nations (FAO), pests reduce global ...
BACKGROUND: Racially minoritized populations in the United States (US), notably African American (AA...
Deterioration of ventriculoarterial coupling is detrimental to cardiovascular and left ventricular f...
We aimed to explore the metabolic dysregulations and diagnostic biomarkers for post-traumatic deep v...
The APOE ε4 genetic variant is the strongest genetic risk factor for late-onset Alzheimer's disease ...
The process of drug discovery is intricate, and encompasses a series of detailed phases of research,...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly gaini...
Non-invasive intracranial pressure (ICP) monitoring can help clinicians safely and efficiently monit...
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological s...
BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation...
Manually analyzing a series of MRI images to obtain information about the heart's motion is a time-c...
Hypertension is a significant global health challenge, contributing substantially to morbidity and m...
Our aim is to evaluate the association of prenatal exposure to per- and polyfluoroalkyl substances (...
Cardiometabolic Multimorbidity (CMM) has emerged as one of the primary threats to human health globa...