Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring...
BACKGROUND: Artificial Intelligence (AI) is transforming personalized medicine, yet its efficacy con...
Breast fibrosis (BF) after radiotherapy remains one of the most dreaded late toxicities in breast ca...
BACKGROUND: Ferroptosis plays a significant role in pulmonary arterial hypertension (PAH), although ...
Pharmacogenomics (PGx) is transforming how we treat cardiovascular disease (CVD) by enabling us to s...
Polycystic Ovary Syndrome (PCOS) is a common and clinically heterogeneous endocrine disorder affecti...
Cardiovascular diseases remain the world's leading cause of death-yet the molecular mechanisms linki...
BACKGROUND AND OBJECTIVE: Early identification of carotid atherosclerosis (CAS) is critical for prev...
PURPOSE: To develop and validate a machine-learning model using systemic and ophthalmic parameters t...
CONTEXT: The importance of utilizing continuous glucose monitoring (CGM) to optimize glycemic profil...
This TimeCapsule reviews the major transformations in lipid metabolism and cardiovascular disease pr...
BACKGROUND: Early identification of individuals at risk for hypertension is essential for effective ...
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is increasingly recognized as a systemic in...
OBJECTIVE: The utilization of artificial intelligence-based chatbots in the healthcare field is incr...
BACKGROUND: Stanozolol, a synthetic anabolic androgenic steroid (AAS) widely abused to enhance perfo...
BACKGROUND: Chronic kidney disease (CKD) is a global health burden characterized by heterogeneous pr...
BACKGROUND: Abdominal obesity (AO) significantly contributes to cardiometabolic diseases and poses a...
BACKGROUND: Machine learning (ML) models have been proposed to improve the discrimination of intracr...
BACKGROUND: Optimizing insulin dosing and predicting future glucose levels for people with type 1 di...
OBJECTIVE: To develop and interpret an explainable machine learning (ML) model integrating inflammat...
The prevalence of hypertension around the world is high while hypertension control is relatively low...