Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
We employed bulk RNA-seq and scRNA-seq techniques to analyze the immune dysregulation in patients wi...
BACKGROUND: Portal vein system thrombosis (PVST) is a common and potentially life-threatening compli...
The burden of diabetic foot ulcers (DFU) is exacerbated in diabetic patients with concomitant arteri...
BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysreg...
: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...
To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...
Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and i...
Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently...
Hypertension presents the largest modifiable public health challenge due to its high prevalence, its...
Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...
Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health....
BACKGROUND: Surrogate insulin resistance (IR) indices are simpler and more practical alternatives to...
UNLABELLED: Congenital diaphragmatic hernia (CDH) has high morbidity and mortality rates. This study...
OBJECTIVE: To develop a machine learning (ML) model utilizing transfer learning (TL) techniques to p...
This study aims to evaluate the significance of wall viscoelasticity in enhancing cardiovascular dis...
• Application of real-world data and artificial intelligence in detecting cardiotoxicity following c...
. Risk stratification of hypertension plays a crucial role in the treatment decisions and medication...
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women wit...
Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between th...
BACKGROUND: Artificial intelligence (AI) has shown exponential growth and advancements, revolutioniz...
BACKGROUND: Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have ...