Latest AI and machine learning research in dyslipidemia for healthcare professionals.
BACKGROUND: Dementia and Parkinson's disease (PD) are among the most prevalent neurological disorders globally. Most previous research has focused on these two diseases in isolation; however, their co-occurrence has rarely been examined, limiting understanding of shared mechanisms and hindering integrated prevention and resource planning. This study aimed to characterize global co-occurrence patte...
Acute pancreatitis is a complex inflammatory condition characterized by sudden onset and rapid progression, with severe cases often associated with hi...
Due to the unpredictability of loads and the complexity of fault propagation, modern power distribution networks require advanced technologies for fau...
Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and steatotic liver disease. To identify circulating ...
Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools a...
BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangerous condition that impairs vision in diabetics. Pre...
STUDY DESIGN: A retrospective multicenter study. OBJECTIVE: To identify independent risk factors for spinal epidural lipomatosis (SEL) and to develop ...
Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide. Coronary artery calcification (CAC) is a well-established ...
BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial for adapting treatment and ensuring optimal outco...
BACKGROUND: Insulin resistance (IR) indices like the TyG index are predictors of type 2 diabetes (T2DM), but their comparative performance across BMI ...
RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome edit...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts f...
BACKGROUND: The platelet to white blood cell ratio (PWR) has shown prognostic value in many diseases. Yet its predictive utility for patients with ath...
BACKGROUND: The pathological process of atherosclerotic cardiovascular disease (ASCVD) involves complex interactions between metabolic dysregulation a...
BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery disease (INOCA). Statins, angiotensin converting en...
Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the perspective of medical assessment of various heart pa...
Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the internet and may influence medical decisions. Artificial ...
Label-free molecular imaging that enables the construction of a molecular atlas of biological tissues is vital for understanding complex physiological...
OBJECTIVE: A substantial proportion of patients (12Â %-25Â %) with recent small subcortical infarction (RSSI) suffer poor functional outcomes at 3Â month...