Strokes

Integrative multi-omics analysis identifies coronin 1C as a potential mediator linking circadian rhythm disruption to neuroimmune dysregulation in ischemic stroke.

INTRODUCTION: Circadian rhythm disruption (CRD) is a major driver of immune dysregulation; however, whether CRD promotes ischemic stroke (IS) progression through immune imbalance and the underlying molecular mechanisms remain unclear. METHODS: Transcriptomic data from human IS brain tissues were analyzed to identify CRD associated regulators using machine-learning approaches. A CRD score model was...

Artificial Intelligence in Stroke Rehabilitation: A 20-Year Bibliometric Analysis of Digital Health Trends and Technologies.

BACKGROUND: Stroke remains a leading cause of long-term disability worldwide, and rehabilitation is essential for recovery. Although artificial intelligence (AI)-related technologies have received growing attention in stroke rehabilitation, the knowledge structure and thematic evolution of this interdisciplinary field remain unclear. OBJECTIVE: To conduct a bibliometric analysis of AI-related rese...

A NETs-centric multi-omics framework prioritizes PGLYRP1 and MMP9 as subtype-associated thromboinflammatory biomarker candidates and putative therapeutic hypotheses in ischemic stroke.

Neutrophil extracellular traps are implicated in immunothrombosis and neuroinflammation in ischemic stroke, but blood-based markers that distinguish s...

Empowering atrial fibrillation detection with TabPFN and SHAP interpretation based on ECG-derived features: a dual-center temporal validation study.

Atrial fibrillation (AF) remains a leading driver of stroke and heart failure, yet timely diagnosis is frequently hindered by its asymptomatic nature ...

Neural Stem Cell-Derived Extracellular Vesicles: The Next Frontier in Neurological and Neurodegenerative Diseases.

The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracellular vesicles (NSC-EVs( as a cell-free approach to...

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 William Harvey to the current data-driven precision ...

Early emergency department decision support for heart failure hospitalization using triage-level unstructured and structured data: a retrospective cohort study.

BACKGROUND: Early identification of patients at risk for heart failure (HF) hospitalization in the emergency department (ED) is challenging because de...

Machine Learning-Based Risk Stratification for Symptomatic Intracranial Hemorrhage and 3-month Prognosis Following Intravenous Thrombolysis.

INTRODUCTION: Intravenous thrombolysis (IVT) with tissue-type plasminogen activator (tPA) is a cornerstone of acute ischemic stroke treatment, yet its...

Predicting Acute Myocardial Infarction in the Absence of Detectable Atherosclerotic Plaque With Perivascular Coronary Inflammation.

BACKGROUND: Coronary computed tomography angiography (CTA) with analysis by artificial intelligence (AI) can personalize coronary artery disease risk ...

Machine Learning-Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study.

BACKGROUND: Cardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions and systematically assesses cardiac anatomical st...

Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation.

OBJECTIVE: Acute heart failure (AHF) is a common but underrecognized cause of dyspnea. Chest computed tomography (CT) can accurately assess pulmonary ...

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

AIMS: Primary aldosteronism (PA) screening is difficult in an unselected population of hypertensive patients, as it can be challenging. We report new ...

The Efficacy of Proprioceptive Neuromuscular Facilitation-Based Robot-Assisted Therapy in Individuals With Stroke: A Randomized Controlled Trial.

OBJECTIVES: The effects of combining robot-assisted therapy (RAT) with other physiotherapy approaches in stroke rehabilitation are of current interest...

Feasibility of a hybrid SSVEP-motor imagery BCI with robotic feedback for upper limb motor rehabilitation in stroke patients.

BACKGROUND: Stroke remains a leading cause of long-term disability, necessitating innovative neurorehabilitation strategies to address persistent moto...

Opportunities and challenges related to participant stratification and cohort enrichment in ALS clinical trials.

Amyotrophic lateral sclerosis (ALS) is marked by substantial clinical heterogeneity. This heterogeneity has impacted clinical trials by obscuring trea...

Mapping knowledge structure and emerging trends in non-invasive brain-computer interface for stroke rehabilitation.

OBJECTIVE: To explore the current research landscape and emerging frontiers in the application of non‑invasive brain-computer interface (BCI) technolo...

A Novel Breast Arterial Calcification Age-Based Percentile Nomogram for the Incremental Prediction of Incidental Cardiovascular Events.

BACKGROUND: Breast arterial calcification (BAC) detected on routine mammography is an emerging marker of cardiovascular risk in women. However, substa...

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient unilateral motor weakness. Although familial form...

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 factor. However, few studies have specifically dev...

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 adults. However, no risk score has been validated ...