Results 41 to 50 of about 66,247 (269)

Automatic Myocardial Disease Prediction From Delayed-Enhancement Cardiac MRI and Clinical Information [PDF]

arXiv, 2020
Delayed-enhancement cardiac magnetic resonance (DE-CMR)provides important diagnostic and prognostic information on myocardial viability. The presence and extent of late gadolinium enhancement (LGE)in DE-CMR is negatively associated with the probability of improvement in left ventricular function after revascularization.
arxiv  

Artesunate Inhibits Neointimal Hyperplasia by Promoting IRF4 Associated Macrophage Polarization

Advanced Science, EarlyView.
This study shows that macrophage interferon regulatory factor 4 (IRF4) improved arterial injury‐induced neointimal hyperplasia by promoting of M2 polarization via up‐regulating krüppel‐like factor 4 (KLF4) in rodent and nonhuman primate models. Notably, artesunate is identified as a potent inducer of IRF4 in macrophages, and proposed as a promising ...
Jinlin Miao, Yule Yong, Zhaohui Zheng, Kui Zhang, Wei Li, Jiayi Liu, Siyi Zhou, Juan‐juan Qin, Haoyang Sun, Yatao Wang, Xianghui Fu, Xing Luo, Siyu Chen, Zhi‐Gang She, Jingjing Cai, Ping Zhu   +15 more
wiley   +1 more source

A comprehensive mathematical model for cardiac perfusion [PDF]

arXiv, 2023
We present a novel mathematical model that simulates myocardial blood perfusion by embedding multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, reduced valve modeling, and a multicompartment Darcy model of perfusion.
arxiv  

Injectable pH Responsive Conductive Hydrogel for Intelligent Delivery of Metformin and Exosomes to Enhance Cardiac Repair after Myocardial Ischemia‐Reperfusion Injury

Advanced Science, EarlyView.
Injectable pH responsive conductive hydrogel for intelligent delivery of metformin and exosomes to alleviate myocardial ischemia‐reperfusion injury. The hydrogel responds to the weakly acidic microenvironment of ischemic injury and can significantly reduce the production of intracellular ROS and enhance cardiac conduction, thereby resisting apoptosis ...
Nianlan Cheng, Qiao Luo, Yongqing Yang, Ni Shao, Tianqi Nie, Xiujiao Deng, Jifeng Chen, Siqi Zhang, Yanyu Huang, Kuan Hu, Liangping Luo, Zeyu Xiao   +11 more
wiley   +1 more source

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms [PDF]

, 2019
Myocardial infarction is the leading cause of death worldwide. In this paper, we design domain-inspired neural network models to detect myocardial infarction. First, we study the contribution of various leads. This systematic analysis, first of its kind in the literature, indicates that out of 15 ECG leads, data from the v6, vz, and ii leads are ...
arxiv   +1 more source

Fish Swim Bladder‐Derived ECM Hydrogels Effectively Treat Myocardial Ischemic Injury through Immunomodulation and Angiogenesis

Advanced Science, EarlyView.
A unique hydrogel based on extracellular matrix from fish swim bladder, which is suitable for transcatheter delivery and possesses remarkable reparative capabilities for treating heart failure, is developed. It emerges as a multi‐effect factor profoundly influencing inflammation regulation, angiogenesis, and myocardial metabolism.
Yulong Fu, Canran Gao, Hailing Zhang, Jing Liu, Boxuan Li, Wei Chen, Xiuping Chen, Xue Lin, Ligang Fang, Zhihong Wang   +9 more
wiley   +1 more source

3D Fusion between Fluoroscopy Angiograms and SPECT Myocardial Perfusion Images to Guide Percutaneous Coronary Intervention [PDF]

arXiv, 2020
Background. Percutaneous coronary intervention(PCI) in stable coronary artery disease(CAD) is commonly triggered by abnormal myocardial perfusion imaging(MPI). However, due to the possibilities of multivessel disease and variability of coronary artery perfusion distribution, opportunity exists to better align anatomic stenosis with perfusion ...
arxiv  

Investigating myocardial infarction and its effects in patients with urgent medical problems using advanced data mining tools [PDF]

arXiv, 2021
In medical science, it is very important to gather multiple data on different diseases and one of the most important objectives of the data is to investigate the diseases. Myocardial infarction is a serious risk factor in mortality and in previous studies, the main emphasis has been on people with heart disease and measuring the likelihood of ...
arxiv  

AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images [PDF]

arXiv, 2022
Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology information (scar and edema) to diagnose myocardial infarction. However, automatic pathology segmentation can be challenging due to the difficulty of effectively exploring the underlying information from the multi-sequence CMR data. This paper aims to tackle the scar and edema
arxiv  

Detecting and interpreting myocardial infarction using fully convolutional neural networks [PDF]

Physiological Measurement, vol. 40, no. 1, p. 015001, 2019, 2018
Objective: We aim to provide an algorithm for the detection of myocardial infarction that operates directly on ECG data without any preprocessing and to investigate its decision criteria. Approach: We train an ensemble of fully convolutional neural networks on the PTB ECG dataset and apply state-of-the-art attribution methods.
arxiv   +1 more source