Strokes

Transcriptomic analysis identifies novel ferroptosis-related biomarkers and therapeutic targets in pulmonary arterial hypertension.

BACKGROUND: Ferroptosis plays a significant role in pulmonary arterial hypertension (PAH), although its underlying mechanisms and key pathogenic genes remain unclear. METHODS: Transcriptomic data from human PAH and control lung tissue were obtained from the Gene Expression Omnibus (GEO) database, whereas ferroptosis-related genes (FRGs) were sourced from the MsigDb and FerrDb databases. Differenti...

A simulation-based hybrid causal predictive framework for stockout risk analysis in supply chain.

Stockout risk is a persistent challenge in supply chain management, undermining both operational efficiency and customer satisfaction. This study adopts a multi-method approach to investigate the causal effect of lead time on stockout risk by integrating causal inference techniques with predictive analytics. The proposed framework combines Propensity Score Matching (PSM), Instrumental Variables (I...

Accuracy of Machine Learning to Predict Upper-Limb Outcome Within the First 72 Hours Poststroke.

BACKGROUND: Timely and accurate prediction of poststroke motor outcome is important for efficient rehabilitation planning and resource allocation. Exi...

Combinations of single gene predictors with AI-driven polygenic precision therapies in cardiovascular diseases.

Pharmacogenomics (PGx) is transforming how we treat cardiovascular disease (CVD) by enabling us to select and dose drugs based on our genetic profiles...

A scoping review on aging and cardiovascular diseases - Molecular mediators and artificial intelligence-based advanced diagnostic methods.

BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, and their risk increases with age. Biological age reflects...

Development and validation of an explainable prediction model for post-stroke epilepsy in patients with ischaemic stroke following mechanical thrombectomy: a multicentre retrospective cohort study.

OBJECTIVE: In this retrospective multicentre cohort study, we aimed to develop and validate an interpretable machine learning (ML) model for early pos...

Machine learning-based prediction of postoperative atrial fibrillation risk in coronary artery bypass grafting patients.

BACKGROUND: Postoperative atrial fibrillation (POAF) occurs in 20-40% of patients undergoing coronary artery bypass grafting (CABG) and is associated ...

Stroke detection in medical emergency calls: a retrospective analysis and exploratory evaluation of an AI decision support model.

BACKGROUND: Timely identification of acute stroke during medical emergency calls is critical for optimizing patient outcomes. We aimed to (i) characte...

Identifying Unmonitored Tone Drift in Patient Education Materials Transcribed to a Lower Reading Level by a Large Language Model.

BACKGROUND AND OBJECTIVES: Effective patient education is essential in neurosurgery, but many materials exceed recommended readability levels, which c...

Enhancing stroke recovery: the role of upper limb rehabilitation robot-assisted training.

AIM: This study aimed to evaluate the clinical value of upper limb rehabilitation robot-assisted training in stroke patients. METHODS: A total of 101 ...

Interpretable Machine Learning to Predict Anxiety or Depression in Acute Ischemic Stroke after IV Thrombolysis: A Retrospective Cohort Study.

BACKGROUND: Acute Ischemic Stroke (AIS) represents a prevalent cerebrovascular condition characterized by significant levels of disability and mortali...

Developing an Advanced Deep Learning-based MR Image Framework for Brain Stroke Segmentation and Classification with Novel Activation Function.

Stroke is considered as one of the most prevalent causes of death and disability for the humans, although it is preventable and treatable. Earlier str...

Impact of middle meningeal artery embolization on neurological complications and discharge outcomes in chronic subdural hematoma: A machine learning-based comparative study.

INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with prior head trauma, anticoagulation therapy, or chr...

High-risk carotid plaque detection using a novel radio-morphometric analysis of the carotid bifurcation.

Current surgical eligibility criteria for the treatment of carotid artery disease, primary relying on stenosis and image plaque characteristics, are s...

Smartwatch-derived exercise metrics as predictors of early hypertension: a prospective observational study.

BACKGROUND: Early identification of individuals at risk for hypertension is essential for effective cardiovascular disease. Physiological and activity...

Can AI chatbots effectively respond inquiries for patients with Pulmonary Arterial Hypertension about exercise and physical activity: A comparative study of three chatbots.

OBJECTIVE: The utilization of artificial intelligence-based chatbots in the healthcare field is increasingly prevalent. Nonetheless, the quality of re...

End to End Proximal Anastomosis is the Sole Modifiable Variable in Risk Score for Loss of Patency of Aortobifemoral Artery Bypass After Index Operative Hospitalization.

OBJECTIVE: The purpose of this study was to create a risk score for loss of aorto-bifemoral artery bypass (ABF) patency utilizing preoperative, periop...

Development, internal testing, and external validation of an interpretable machine-learning model for predicting imaging-confirmed in-hospital postoperative deep vein thrombosis in older patients with patellar fractures.

BACKGROUND: Older patients with patellar fractures may be at increased risk of postoperative deep vein thrombosis (DVT) because of trauma, perioperati...

Decoding neuron-specific lineage to identify diagnostic biomarkers and therapeutic targets for ischemic stroke.

Ischemic stroke (IS) imposes a major global health burden. To uncover new diagnostic and therapeutic targets, we profiled neuronal heterogeneity durin...

VAV3 is associated with atherosclerosis and ox-LDL-induced endothelial dysfunctional remodeling.

BACKGROUND: Atherosclerosis is a major cause of ischemic stroke and is characterized by complex immune-metabolic dysregulation. VAV3, a Rho guanine nu...