Association between Time to Treatment with Endovascular Thrombectomy and Home-Time after Acute Ischemic Stroke

The Relationship between Treatment Speed of Endovascular Thrombectomy (EVT) for Acute Ischemic Stroke and Patient’s “Time at Home” Stroke is an acute disease with high disability and mortality rates. However, in recent years, the treatment efficacy of acute ischemic stroke has improved significantly with the development of endovascular thrombectomy...

Inhibition of Fatty Acid Uptake by TGR5 Prevents Diabetic Cardiomyopathy

Preventing Diabetic Cardiomyopathy through Suppressing TGR5-Mediated Fatty Acid Uptake Background and Problem Statement Diabetic Cardiomyopathy (DBCM) is a severe complication frequently faced by diabetic patients, characterized by lipid accumulation in the myocardium and cardiac dysfunction. Bile acid metabolism plays a crucial role in cardiovascu...

Characterization, number, and spatial organization of nerve fibers in the human cervical vagus nerve and its superior cardiac branch

Characteristics, Quantity, and Spatial Distribution of Human Cervical Vagus Nerve and its Cardiac Superior Branch Nerve Fibers Introduction In modern medicine, Vagus Nerve Stimulation (VNS) is widely used to treat various diseases such as epilepsy, obesity, depression, and heart diseases. Although the overall Vagus nerve stimulation method has prov...

Heart Failure Promotes Multimorbidity Through Innate Immune Memory

Heart Failure Promotes Multimorbidity Through Innate Immune Memory

Heart Failure Promotes Multimorbidity through Innate Immune Memory Research Background Despite significant medical advances, the mortality rate of heart failure (HF) remains high, necessitating new therapeutic targets. HF patients often experience acute decompensation and develop comorbidities such as chronic kidney disease and frailty syndrome. Th...

3D/2D Vessel Registration Based on Monte Carlo Tree Search and Manifold Regularization

3D/2D Vessel Registration Based on Monte Carlo Tree Search and Manifold Regularization

Research on 3D/2D Vascular Registration Based on Monte Carlo Tree Search and Manifold Regularization In interventional vascular surgery, enhanced intraoperative real-time imaging technology can compensate for the shortcomings of DSA navigation, such as the lack of depth information and excessive use of toxic contrast agents, by projecting preoperat...

Heart Sound Abnormality Detection from Multi-Institutional Collaboration: Introducing a Federated Learning Framework

Heart Sound Abnormality Detection from Multi-Institutional Collaboration: Introducing a Federated Learning Framework

Academic Background Cardiovascular diseases (CVDs) have become one of the leading causes of death, particularly within the elderly population, making cardiovascular health a pressing societal concern. Early screening, diagnosis, and prognosis management are crucial for preventing hospitalizations. Heart sound signals carry rich physiological and pa...

T-Wave Peak-to-End Changes Quantified by Time-Warping Predicts Ventricular Fibrillation in a Porcine Myocardial Infarction Model

Prediction of Ventricular Fibrillation in Myocardial Infarction Model in Pigs Based on T-peak-to-T-end Interval Variation Using Time Warping Technique Background Introduction Source of the Paper Sudden Cardiac Death (SCD) is a leading cause of mortality worldwide, with one of its primary pathogenic mechanisms being Ventricular Fibrillation (VF), es...

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Academic News Report: New MRI Technology Achieves Biological Fluorescence Imaging by Detecting Local Hemodynamics of Photosensitive Blood Vessels Academic Background Introduction Bioluminescent probes are widely used for monitoring biomedical processes and cellular targets in living animals. However, the absorption and scattering of visible light b...

Development and Validation of Machine Learning Algorithms Based on Electrocardiograms for Cardiovascular Diagnoses at the Population Level

Development and Validation of Large-Scale Machine Learning Algorithms for Cardiovascular Diagnosis Based on Electrocardiograms Introduction Cardiovascular diseases (CV) have long been a major source of global disease burden. Early diagnosis and intervention are crucial for reducing complications, healthcare utilization, and associated costs. Tradit...

Outcomes of Mechanical Thrombectomy for Patients with Stroke Presenting with Low Alberta Stroke Program Early Computed Tomography Score in Early and Late Time Windows

Outcomes of Mechanical Thrombectomy for Stroke Patients with Low Alberta Stroke Program Early CT Score Background Acute ischemic stroke is a life-threatening disease, and large vessel occlusion is one of the major causes of severe disability. Mechanical thrombectomy (MT) has become the standard treatment for acute ischemic stroke, with multiple cli...