Atherosclerosis

CKLF1 Serves as a Pivotal Mediator of Blood-Brain Barrier Disruption and Neuroinflammation via PI3K/AKT/mTOR Signaling in Ischemic Stroke.

Ischemic stroke (IS) is accompanied by blood-brain barrier (BBB) disruption and neuroinflammatory activation, but the upstream regulatory mechanisms remain incompletely defined. Here, integrated single-cell RNA sequencing, regulatory network analysis, and machine-learning screening identified Chemokine-like factor 1 (CKLF1) as a candidate endothelial regulator associated with IS. Functional valida...

Development of machine learning-based predictive models for evaluating risk in the contralateral ear among patients with unilateral sudden sensorineural hearing loss.

BACKGROUND: Sequential bilateral sudden sensorineural hearing loss (Se-BSSHL) may occur after an initial unilateral episode, but the risk factors for contralateral ear involvement remain unclear. This research aims to identify risk factors associated with the occurrence of contralateral ear in patients suffering from sudden sensorineural hearing loss (SSHL). By leveraging machine learning algorith...

SPCC: Inferring Spatial Cell-Cell Interaction by Integrating Single-cell and Spatial Transcriptomics.

Study of single-cell spatial biology reveals the importance of integrating single-cell and spatial data for capturing spatial structure at individual ...

Computational wireless indices for the assessment of myocardial ischaemia.

The assessment of myocardial ischaemia is entering a new computational era. Beyond the traditional boundaries of anatomical imaging and invasive fract...

Artificial Intelligence-Assisted Contrast-Enhanced Ultrasound for Perfusion Evaluation: State-of-the-Art Review.

Accurate perfusion evaluation is crucial for clinical diagnosis and treatment, such as lesion characterization and risk stratification of carotid athe...

Identification of Erectile Dysfunction From Routine Blood Test Data: Development and Validation of a Machine Learning-Based Prediction Model.

BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel marker for cardiovascular disease. Current diagnos...

Precision Lipid Management in the Era of Biotechnology and Artificial Intelligence: From Gene Editing to Smart Drug Delivery.

BACKGROUND: Hyperlipidemia is a major modifiable contributor to atherosclerotic cardiovascular disease (ASCVD). Despite statins as first-line therapy,...

Topical exposure to di(2-ethylhexyl) phthalate aggravates atopic dermatitis: an integrated network toxicology, bioinformatics, and experiment analysis.

Di(2-ethylhexyl) phthalate (DEHP) is one of the most widely used plasticizers; however, whether cutaneous DEHP exposure affects atopic dermatitis (AD)...

A novel adrenomedullin receptor signaling-based prognostic model predicts immunosuppressive microenvironment and informs therapeutic stratification in hepatocellular carcinoma: A retrospective bioinformatics study.

The adrenomedullin receptor signaling pathway plays a crucial role in tumor progression, yet its comprehensive implication in hepatocellular carcinoma...

Spatial decoupling of plaque and circulating immune programs defines a robust gene signature in atherosclerosis: A multi-cohort integrative analysis.

Atherosclerosis (AS) is driven by chronic vascular inflammation, yet the relationship between immune activity within atherosclerotic lesions and syste...

Assessing the prognostic value of artificial intelligence for opportunistic prediction of coronary artery calcium score on routine non-gated computed tomography in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICI) improve cancer outcomes but are associated with increased atherosclerotic cardiovascular risk. Opportun...

Associations of Iron Indicators with Cognitive Impairment Risk in Postmenopausal Women: Evidence from a Matched Case-Control Study and Back Propagation Neural Network Model.

Iron is essential for normal cognitive function, and women have nearly twice the age-matched prevalence of cognitive impairment compared with men. The...

Integrated population-based evidence, network toxicology, single-cell profiling, and in vitro studies elucidate mechanisms connecting PAHs to stroke.

Environmental exposure to polycyclic aromatic hydrocarbons (PAHs) has been associated with cardiovascular disease, yet the specific metabolites and ce...

Identification of weight loss predictors using machine learning approaches in adolescents with obesity.

BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions in pediatric obesity, outcomes remain variable be...

Bridging fibrosis and function: an integrated mechanistic and therapeutic framework for Peyronie's disease and related erectile dysfunction.

INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...

Metabolic signatures and machine learning identify gut-liver-heart axis dysfunction as a potential link to major adverse cardiovascular events in coronary artery disease.

BACKGROUND: Traditional risk factors do not fully account for the residual cardiometabolic risk of major adverse cardiovascular events (MACE) in coron...

A Deep Learning Pipeline for Cell Segmentation and Viability Quantification in 3D Constructs From Fluorescence Microscopy Images.

With the increasing adoption of 3D cell cultures and bioprinting in biomedical research, there is a growing demand for reliable and accurate monitorin...

Machine Learning Models Integrating CYP2C19 Genotypes for Long-Term Risk Prediction and Personalized Antiplatelet Therapy Selection in Myocardial Infarction.

Machine learning (ML) models integrating genetic and clinical data show promise for personalizing antiplatelet therapy after myocardial infarction (MI...

MINPP1, HES4 and SLCO5A1 as core signature genes mediating the effects of type 2 diabetes on coronary artery bypass grafting.

PURPOSE: This study aimed to identify the signature genes that mediate the effects of type 2 diabetes (T2D) on coronary artery bypass grafting (CABG),...

Sex-Related Performance Disparities in Convolutional Neural Networks for Imaging-Based Assessment of Coronary Atherosclerosis and Ischemic Heart Disease: A Systematic Review.

Sex-related disparities persist in the diagnosis and management of ischemic heart disease (IHD), raising concern that convolutional neural networks (C...