Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Ischemic cerebral infarction is the most prevalent type of stroke, causing significant disability an...
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, provi...
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: This study aimed to evaluate the relationship between CBC-derived inflammatory markers (...
BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysreg...
Biochemical changes in the cervix during labor are not well understood. This gap in knowledge is sig...
: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...
The retina is the most crucial part of the human eye, and it can be affected due to hypertension. Ho...
To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...
Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently...
Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and i...
Hypertension presents the largest modifiable public health challenge due to its high prevalence, its...
Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health....
Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...
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...
• 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...