Metabolic Syndrome

Tracing the evolution of cardiology: Pioneering discoveries and paradigm shifts in cardiovascular care.

Cardiology has undergone an impressive transformation from the initial anatomical observations of Wi...

A novel serum metabolite classifier for identifying Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) integrating metabolomics and machine learning.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing glob...

Using machine learning to identify the most important predictors of fatty liver index in healthy young Taiwanese men.

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. While m...

A pilot study on the impact of large language model assistance on the evaluation of complex medical living kidney donor candidates.

BACKGROUND: Large language models (LLMs) are undergoing exploration as clinical decision support too...

Machine Learning Unveils Dietary Antioxidants as Influential Factors for Diabetes-Cancer Comorbidity: Insights From National Health and Nutrition Examination Survey.

This study aims to assess the predictive value of dietary antioxidants in diabetes-cancer comorbidit...

1H NMR-Based Plasma Metabolomics and Machine Learning Reveal Distinct Metabolic Signatures of Breast Cancer in Nigerian Women.

Untargeted 1H NMR metabolomics offers a noninvasive means to identify biomarkers in breast cancer (B...

Predicting primary aldosteronism: risk stratification-based and machine learning-based models.

AIMS: Primary aldosteronism (PA) screening is difficult in an unselected population of hypertensive ...

Identifying Actionable Glucose Patterns in Type 1 and Type 2 Diabetes Using Continuous Glucose Monitoring and Algorithmic Pattern Recognition.

BACKGROUND: Continuous glucose monitoring (CGM) provides real-time glucose data, aiding diabetes man...

An interpretable machine learning model for predicting stroke in patients with hypertension: insights from the SPRINT.

Stroke is a leading cause of mortality worldwide, with hypertension being its most significant risk ...

Prognostic value of stress hyperglycemia ratio, hemoglobin glycation index, and glycemic variability for postoperative atrial fibrillation: a machine learning-based prediction model.

Machine learning prediction of CKD progression in hyperglycemic elderly adults: a prospective community cohort study.

Hyperglycemia is a major risk factor for chronic kidney disease (CKD). This multicenter prospective ...

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in ...

Empowering Patients and Clinicians: LLMs in Hypertension Care: A Scoping Review.

Large language models have emerged as potential tools to support hypertension care, including diagno...

Leveraging routine clinical data for dementia risk prediction using machine learning.

BackgroundEarly diagnosis of dementia is essential for enabling timely interventions that may slow d...

Unsupervised Agglomerative Cluster Phenotyping of Young Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

BACKGROUND: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical ...

Screening of metabolic-related biomarkers linking intervertebral disc degeneration and type 2 diabetes based on comprehensive bioinformatics analysis and machine learning.

BACKGROUND: Intervertebral disc degeneration (IVDD) is a prominent etiology of lower back pain. Type...

Comparative evaluation of obesity-related indices for predicting incident hypertension: evidence from Chinese and UK longitudinal cohorts with machine learning interpretation.

The relationship between triglyceride-glucose index and chronic lung diseases: a nationwide cohort study.

FOSL2 regulates endothelial cell state and chromatin accessibility in systemic sclerosis pulmonary vascular remodeling.

Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and intern...

Precision biomarker discovery in hypertension through explainable AI and proteomics.

Hypertension is a major global health burden and a leading driver of cardiovascular disease, yet rel...

Deep learning-based early prediction of carotid plaque response to lipid-lowering therapy using longitudinal multimodal ultrasound imaging.

OBJECTIVE: This study aimed to develop and validate a deep learning prediction model using longitudi...