Strokes

Single-Cell and Bulk RNA-Seq Profiling Identifies Cell Adhesion-Related Gene Signatures in Cerebral Ischemia-Reperfusion Injury.

Cerebral ischemia-reperfusion injury (CIRI) involves complex secondary damage mechanisms, including ...

Longitudinal Trajectories of Body Roundness Index and Risk of Incident Hypertension in Non-Diabetic Elderly Adults: A Prospective Nationwide Cohort Study Involving Two Cohorts.

BACKGROUND: Central adiposity is a key determinant of hypertension, yet most studies rely on single-...

Joint effect of triglyceride-glucose index and low-density lipoprotein cholesterol on mortality and days alive out of hospital in acute stroke: a multi-center machine learning-based cohort study.

OBJECTIVE: The lipid paradox suggests low LDL-C is paradoxically associated with poor outcomes, yet ...

CRCS-K Imaging Repository: Architecture, Data Characteristics, and a Proof-of-Concept Analysis of Pretreatment Imaging Workflow.

BACKGROUND: Stroke registries have advanced cerebrovascular research but usually reduce neuroimaging...

Social Determinants of Guideline-Directed Oral Anticoagulation Prescription in Patients With Atrial Fibrillation Without Contraindications: Findings From the American Heart Association Get With the Guidelines-Atrial Fibrillation Registry.

BACKGROUND: Oral anticoagulant (OAC) prescriptions recommended by atrial fibrillation guidelines to ...

Identification of ion homeostasis-related genes as diagnostic biomarkers for pulmonary arterial hypertension via WGCNA and machine learning.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a severe cardiovascular disease, with early dia...

Proteomic machine-learning signatures associated with carotid plaque: A population-based hypothesis-generating study.

Carotid plaque (CP) is a surrogate marker of cardiovascular disease, and high-risk morphology signif...

Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals.

Distinguishing cortical from subcortical ischemic stroke may help guide management. We developed DBT...

Advancements toward clinical application of AI-assisted CT analysis in pulmonary hypertension: a systematic literature review.

BACKGROUND: Computed tomography (CT) plays an important role in pulmonary hypertension (PH) evaluati...

Development and Validation of a Machine Learning-Based Model for Predicting All-Cause Mortality Risk in Patients With Type 2 Diabetes Mellitus Combined With Hypertension: National Cohort Study.

BACKGROUND: Type 2 diabetes mellitus (T2DM) combined with hypertension significantly increases morta...

Enhancing attention and processing speed through home-based music rehabilitation programme after stroke in Malaysia: a feasibility randomised controlled trial protocol.

INTRODUCTION: Stroke is a leading cause of disability in Malaysia, often resulting in cognitive impa...

Phenotypic age metrics for risk stratification of chronic disease burden and all-cause mortality in adults.

BACKGROUND: Phenotypic age gap (PAG) and phenotypic age acceleration (PhenoAgeAccel) are measures of...

Obstetric pharmacoeconomics.

INTRODUCTION: Pharmacoeconomic principles are increasingly shaping modern obstetric pharmacology as ...

AI-Enhanced Super-Resolution Handheld Ultrasound for Carotid Plaque Detection in Community Screening.

PURPOSE: Ischemic stroke is a leading cause of disability and death, and early identification of car...

Prevalence, associated factors, and machine learning classification of low back pain among postmenopausal women attending rehabilitation and physiotherapy facilities in Bangladesh.

BACKGROUND: Low back pain (LBP) is a leading cause of disability worldwide and disproportionately af...

Comments on "Shortening MRI scanning time for acute ischemic stroke: analysis of the effect of 3.0T MRI compressed sensing deep learning reconstruction".

Single-lead ECG biomarkers for cardiovascular and mortality risk prediction.

OBJECTIVE: Cardiovascular disease remains one of the leading causes of morbidity and mortality world...

Identification and Validation of Candidate Biomarkers Co-expressed with Creatine Metabolism-Related Genes in Ischemic Stroke Based on Transcriptomics Data.

Ischemic stroke (IS) is a major cause of death and disability, and creatine metabolism (CM) is poten...

Development and temporal validation of a machine learning-based prediction model for long-term depressive symptoms in older adults with cardiovascular disease or hypertension: A longitudinal cohort study.

Older adults with cardiovascular disease or hypertension have an elevated risk of depressive symptom...

Bibliometric analysis of stroke centers: Research hotspots, evolution trends, and prospects based on CiteSpace.

OBJECTIVE: To conduct a bibliometric analysis of stroke center-related research fields, both domesti...

Responsible AI for Acute Stroke Management.

Artificial intelligence is increasingly integrated into acute stroke management, demonstrating stron...