A5076859183- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
- Cardiovascular Function and Risk Factors
- Ion channel regulation and function
- Receptor Mechanisms and Signaling
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
- Data Mining Algorithms and Applications
- Distributed systems and fault tolerance
- Data Management and Algorithms
- Anomaly Detection Techniques and Applications
- Electrostatic Discharge in Electronics
- Advanced Vision and Imaging
- Advanced Data Storage Technologies
- Remote Sensing and Land Use
- Functional Brain Connectivity Studies
- Human Pose and Action Recognition
- Seismic Waves and Analysis
- Neuroscience and Neural Engineering
- Advanced MRI Techniques and Applications
- Seismic Imaging and Inversion Techniques
- Machine Fault Diagnosis Techniques
- Advanced Database Systems and Queries
- HIV, Drug Use, Sexual Risk
- Hepatitis B Virus Studies
University of Oxford
2015-2024
Aerospace Information Research Institute
2024
Xi'an Jiaotong University
2016-2024
Chinese Academy of Sciences
2024
University of Chinese Academy of Sciences
2024
Chengdu University of Traditional Chinese Medicine
2024
Second Affiliated Hospital of Xi'an Jiaotong University
2024
Hudson Institute
2020-2023
Jintan People's Hospital
2023
Jiangsu University
2023
Human-based modelling and simulations are becoming ubiquitous in biomedical science due to their ability augment experimental clinical investigations. Cardiac electrophysiology is one of the most advanced areas, with cardiac simulation being considered for virtual testing pharmacological therapies medical devices. Current models present inconsistencies data, which limit further progress. In this study, we design, development, calibration independent validation a human-based ventricular model...
This white paper presents principles for validating proarrhythmia risk prediction models regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food Drug Administration–sponsored Think Tank Meeting on May 22, 2018. The meeting was convened to evaluate progress in development new cardiac safety paradigm, Comprehensive Vitro Proarrhythmia Assay (CiPA). opinions regarding these reflect collective views...
Cardiac in silico clinical trials can virtually assess the safety and efficacy of therapies using human-based modelling simulation. These technologies provide mechanistic explanations for clinically observed pathological behaviour. Designing virtual cohorts requires exploiting data to capture physiological variability human population. The characterisation ventricular activation Purkinje network is challenging, especially non-invasively. Our study aims present a novel digital twinning...
Repolarization alternans (RA) are associated with arrhythmogenesis. Animal studies have revealed potential mechanisms, but human-focused needed. RA generation and frequency dependence may be determined by cell-to-cell variability in protein expression, which is regulated genetic external factors.To characterize vivo human to investigate silico using models, the ionic mechanisms underlying frequency-dependent differences behavior identified vivo.In electrograms were acquired at 240 sites...
Both biomedical research and clinical practice rely on complex datasets for the physiological genetic characterization of human hearts in health disease. Given complexity variety approaches recordings, there is now growing recognition need to embed computational methods cardiovascular medicine science analysis, integration prediction. This paper describes a Workshop Computational Cardiovascular Science that created an international, interdisciplinary inter-sectorial forum define next steps...
Torsades de Pointes (TdP) is a type of ventricular arrhythmia which could be observed as an unwanted drug-induced cardiac side effect, and it associated with repolarization abnormalities in single cells. The pharmacological evaluations TdP risk previous years mainly focused on the hERG channel due to its vital role cardiomyocytes. However, only considering drug effects led false positive predictions since action other ion channels can also have crucial regulatory repolarization. To address...
Prediction of drug effects on the heart still represents a challenge in development, given potential adverse outcomes. Computer modelling and simulations human offer powerful technology to augment existing animal clinical methodologies. Here we describe translation process that led development uptake Virtual Assay, user-friendly software perform silico trials population cardiac models. Through this work, contributed industry regulatory paradigms, demonstrated accurate mechanistic predictions...
Sudden death after myocardial infarction (MI) is associated with electrophysiological heterogeneities and ionic current remodelling. Low ejection fraction (EF) used in risk stratification, but its mechanistic links pro-arrhythmic are unknown. We aim to provide explanations of clinical phenotypes acute chronic MI, from remodelling ECG EF, using human electromechanical modelling simulation augment experimental investigations. A ventricular framework constructed validated rich datasets,...
Early detection of coronary heart disease (CHD) has the potential to prevent millions deaths that this causes worldwide every year. However, there exist few automatic methods detect CHD at an early stage. A challenge in development these is absence relevant datasets for their training and validation. Here, ten Tusscher-Panfilov 2006 model O'Hara-Rudy human myocytes were used create two populations models concordance with data obtained from healthy individuals (control populations) included...
Abstract Aims Develop, calibrate and evaluate with clinical data a human electromechanical modelling simulation framework for multiscale, mechanistic investigations in healthy post-myocardial infarction (MI) conditions, from ionic to biomarkers. Methods results Human post-MI simulations were conducted novel biventricular model, calibrated evaluated experimental data, including torso/biventricular anatomy magnetic resonance, state-of-the-art human-based membrane kinetics,...
In the field of multi-view satellite photogrammetry, neural radiance (NeRF) method has received widespread attention due to its ability provide continuous scene representation and realistic rendering effects. However, methods based on NeRF are limited by slow training speed original NeRF, reconstruction efficiency is low. Training for a single usually takes 8–10 h or even longer, which severely constrains utilization exploration approach within domain photogrammetry. response above problems,...
Human-based modelling and simulation offer an ideal testbed for novel medical therapies to guide experimental clinical studies. Myocardial infarction (MI) is a common cause of heart failure mortality, which are urgently needed. Although cell therapy offers promise, electrophysiological heterogeneity raises pro-arrhythmic safety concerns, where underlying complex spatio-temporal dynamics cannot be investigated experimentally. Here, after demonstrating credibility the framework, we investigate...
Background: Cardiac alternans is an important precursor to arrhythmia, facilitating formation of conduction block, and re-entry. Diseased hearts were observed be particularly vulnerable alternans, mainly in heart failure or after myocardial infarction. Alternans typically linked oscillation calcium cycling, the sarcoplasmic reticulum (SR). While role SR reuptake well established, altered release by ryanodine receptors has not yet been studied extensively. At same time, there strong evidence...
Height estimation has long been a pivotal topic within measurement and remote sensing disciplines, with monocular height offering wide-ranging data sources convenient deployment. This paper addresses the existing challenges in methods, namely difficulty simultaneously achieving high-quality instance-level edge reconstruction, along high computational complexity. presents comprehensive solution for sensing, termed HeightFormer, combining multilevel interactions image-adaptive...
Sudden death after myocardial infarction (MI) is associated with electrophysiological heterogeneities and ionic remodelling, which are reflected as variable phenotypes. Low ejection fraction (EF) used in risk stratification, but its mechanistic links the post-MI pro-arrhythmic unknown. We aim to provide a explanation of clinical phenotypes acute chronic MI, from remodeling ECG EF, using human electromechanical modelling simulation augment experimental investigations.A ventricular framework...
The congenital long QT syndrome (LQTS) is a cardiac electrophysiological disorder that can cause sudden death. LQT1 subtype of LQTS caused by mutations in KCNQ1, affecting the slow delayed-rectifier potassium current (I Ks), which essential for repolarization. Paradoxically, gain-of-function KCNQ1 have been reported to borderline prolongation, atrial fibrillation (AF), sinus bradycardia, and death, however, mechanisms are not well understood. goal study investigate ionic, cellular tissue...
Machinery condition monitoring has entered the era of big data and some research been done based on data. Abnormal segments, such as missing segments drift are inevitable in acquired from harsh industrial environment due to temporary sensor failures, network segment transmission delays, or accidental loss collected so on. Being independent machinery condition, abnormal not only reduce quality for analysis, but also bring a heavy computation load. However, there few reports address detection...
Acute myocardial ischaemia caused by coronary artery disease is one of the main causes sudden cardiac death. Even though sodium current blockers are used as anti-arrhythmic drugs, decreased availability, also mutations, has been shown to increase arrhythmic risk in ischaemic patients. The mechanisms still unclear. Our goal exploit perfect control and data transparency over 300 high-performance computing simulations investigate arrhythmia acute with variable availability. human anatomically...
Repolarization alternans, a periodic oscillation of long-short action potential duration, is an important source arrhythmogenic substrate, although the mechanisms driving it are insufficiently understood. Despite its relevance as arrhythmia precursor, there no successful therapies able to target specifically. We hypothesized that blockade sodium‑calcium exchanger (NCX) could inhibit alternans. The effects selective NCX blocker ORM-10962 were evaluated on potentials measured with...
Heart sound auscultation, due to it being a non-invasive, convenient, and relatively low-cost technique, remains the dominant method for detection of cardiovascular disease.In this paper, we present identifying abnormal heart sounds based on novel Dense Feature Selection Convolution Network framework (Dense-FSNet). The Dense-FSNet is comprised multiple, circular dense connectivity modules, called Clique Blocks. These Blocks can allow low-level high-level features stimulate each other cyclic...
Abstract Background Chronic HBV infection is always accompanied by differences in the balance between regulatory T cells (Tregs) and T-helper 17 (Th17) phases. IL-21 plays an important role progression of chronic infection. Thus, aim our study was to investigate function maintaining Tregs Th17 Methods Twenty-five HBV-infected patients immune-tolerant (IT) phase 23 hepatitis B (CHB) were recruited this study. Cytokines production measured ELISA. The mRNA expression levels determined qPCR. CD4...
A smart and cost-effective intelligent RMB (Ren Min Bi) sorting system is built by theoretical approaches technical facilities integrated of electrics, magnetics, optics, maths, mechanics. It can be used to identify authenticity, denomination, orientation, version RMB, whether new or old, count the number sheets amount. Real money false distinguished three detection including fluorescence forgery, infrared magnetic forgery during every working process sorter. Test shows that accuracy rate...