Strokes

From In Silico De Novo Generation to In Vitro Functional Validation: Discovery of Multifunctional Antithrombotic Peptides from Food-Derived Proteins via a Hybrid LSTM-GCN and Molecular Simulation Pipeline.

Cardiovascular thromboses bring heavy global health burdens, while traditional screening of food-derived antithrombotic peptides is inefficient. This work built an integrated pipeline integrating de novo peptide generation, hybrid LSTM-GCN deep learning, and molecular simulations, screening 15,000 sequences to obtain lead peptide FPGGIP. It had a binding affinity of -6.4 kcal/mol and a stable thro...

The Eye as a Window to Cardio-Kidney-Metabolic Disease.

The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic disease as an integrated continuum, yet its management relies on reactive laboratory markers with substantial resource burdens. Retinal oculomics offers a non-invasive window into this continuum, grounded in structural and functional parallels between the retina and kidney. Their shared vulnerability ...

Deep Learning-Based Automated Clinical Gait Assessment From Kinematic Data in People With Stroke: Development and Validation Study.

BACKGROUND: Gait impairment is a prevalent sequela of stroke. Although observational gait analysis remains a standard clinical practice for assessing ...

Left Atrial Stiffness Index for Refining Diastolic Stress Test Selection in Suspected Heart Failure With Preserved Ejection Fraction.

INTRODUCTION: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging in patients with exertional dyspnea and inconclusi...

Rational Design of Light-Driven Molecular Motors Enabled by a Data-Efficient Machine Learning Framework for Nonadiabatic Dynamics.

Light-driven molecular rotary motors convert photon energy into mechanical motion, but designing systems that combine high rotational speed with robus...

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternative to surgical aortic valve replacement (SAVR), the...

Machine learning combined with fMRI identifies dynamic brain network alterations in post-stroke depression: A dual-center cross-sectional study.

OBJECTIVE: Post-stroke depression (PSD) is under-recognized and associated with poorer rehabilitation outcomes and quality of life. We characterized P...

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 r...

Impact of pre-test probability on AI-LVO detection: a systematic review of LVO prevalence across clinical contexts.

BACKGROUND: Rapid identification of large vessel occlusion (LVO) in acute ischemic stroke (AIS) is essential for reperfusion therapy. Screening tools,...

Distinct tDCS montages act via dissociable lateralization mechanisms to enhance motor function in chronic stroke.

The imbalance in interhemispheric functional connectivity following stroke fundamentally impedes motor recovery. Although transcranial direct current ...

Federated learning for MRI-based BrainAGE: A multicenter study on post-stroke functional outcome prediction.

OBJECTIVE: Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health, with potential implications for post-stroke ...

Comprehensive Analysis of Starvation Response-Related Genes in the Diagnosis of Ischemic Stroke: Based on Machine Learning and Single-Cell RNA Sequencing Data.

BACKGROUND: The pathogenesis of ischemic stroke (IS) involves a starvation response (SR); however, the mechanistic link between the two remains unclea...

Integrating Quantitative CT Biomarkers to Enhance COPD Detection in the HANSE Lung Cancer Screening Program.

BACKGROUND: Lung cancer screening offers an opportunity to enhance COPD detection among adults exposed to tobacco smoke, yet guidance on CT-based refe...

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...

Automated differentiation of non-fluent and logopenic primary progressive aphasia in Italian speakers using acoustic and linguistic speech measures.

INTRODUCTION: Differentiating the nonfluent/agrammatic and logopenic variants of primary progressive aphasia (PPA; nfvPPA and lvPPA, respectively) rem...

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...

AI-Derived Score to Predict Effort Intolerance and Adverse Outcome across the Heart Failure Spectrum.

AIMS: To develop and externally validate an artificial intelligence (AI)-driven model to predict effort intolerance (i.e., peak oxygen uptake [VO₂] <1...

Diagnostic accuracy of electronic medical record retrieval methods and a large language model for identifying cardiovascular events: a multisite retrospective validation study in a medical system in the United States.

OBJECTIVE: To compare the diagnostic accuracy of four available automated electronic medical record (EMR) retrieval methods, including a large languag...

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...

A multi-feature resting-state EEG framework for candidate EEG feature discovery in central vertigo.

Central vertigo (CV) lacks objective electrophysiological measures for severity assessment and rehabilitation monitoring. We aimed to characterize mul...