A5028515945- Mechanical Circulatory Support Devices
- Cardiovascular Function and Risk Factors
- Cardiac Valve Diseases and Treatments
- Cardiac Structural Anomalies and Repair
- Cardiac Arrest and Resuscitation
- Osteoarthritis Treatment and Mechanisms
- Inflammatory mediators and NSAID effects
- Acute Ischemic Stroke Management
- Traumatic Brain Injury and Neurovascular Disturbances
- Fuel Cells and Related Materials
- Aortic Disease and Treatment Approaches
- Intracranial Aneurysms: Treatment and Complications
- Congenital Heart Disease Studies
- Rheology and Fluid Dynamics Studies
- Advanced MRI Techniques and Applications
- Hydraulic and Pneumatic Systems
- Computational Drug Discovery Methods
- Chemokine receptors and signaling
- Cardiac and Coronary Surgery Techniques
- Cardiovascular Health and Disease Prevention
- Fluid Dynamics and Turbulent Flows
- Hemodynamic Monitoring and Therapy
- Cardiac Imaging and Diagnostics
- Cerebrovascular and Carotid Artery Diseases
- Atrial Fibrillation Management and Outcomes
RWTH Aachen University
2015-2025
National Technical University of Athens
2017-2022
Universitätsklinikum Aachen
2022
Partial Differential Equations (PDEs) are notoriously difficult to solve. In general, closed form solutions not available and numerical approximation schemes computationally expensive. this paper, we propose approach the solution of PDEs based on a novel technique that combines advantages two recently emerging machine learning approaches. First, physics-informed neural networks (PINNs) learn continuous can be trained with little no ground truth data. However, PINNs do generalize well unseen...
BACKGROUND: Whether aortic valve stenosis (AS) can adversely affect systemic endothelial function independently of standard modifiable cardiovascular risk factors is unknown. METHODS: We therefore investigated and cardiac in an experimental model AS mice devoid human cohorts with scheduled for transcatheter replacement. Endothelial was determined by flow-mediated dilation using ultrasound. Extracellular hemoglobin (eHb) concentrations nitric oxide (NO) consumption were blood plasma humans...
Aortic stenosis (AS) leads to alterations of supra-valvular flow patterns which can cause increased damage red blood cell (RBC) membranes. We investigated these patient specific a severe AS and their reversal in healthy through 4D Flow MRI-based CFD methodology. Computational models subject-specific aortic geometries were created using in-vivo medical imaging data. Temporally spatially resolved boundary conditions derived from MRI implemented for an subject. After validation the in-silico...
Abstract Purpose Thrombosis ranks among the major complications in blood-carrying medical devices and a better understanding to influence design related contribution thrombosis is desirable. Over past years many computational models of have been developed. However, numerically cheap able predict localized thrombus risk complex geometries are still lacking. The aim study was develop test computationally efficient model for prediction rotary blood pumps. Methods We used two-stage approach...
Artificial membrane lungs are composed of hollow fiber membranes. Blood flows with low velocities in the bundle, forming a laminar boundary layer near surfaces that limits gas transfer. Passive blood mixing within array is utilized to overcome this limitation. Nevertheless, it unclear which extent and configuration contribute performance oxygenators. This study aims evaluate effect replacement on exchange oxygenators better understanding influence transfer mechanisms blood. Furthermore,...
Implantation of a rotary blood pump (RBP) can cause non-physiological flow fields in the left ventricle (LV) which may trigger thrombosis. Different inflow cannula geometry affect LV fields. The aim this study was to determine effect on intraventricular under full support patient specific model.Computed tomography angiography imaging performed RBP candidate develop patient-specific model. Five cannulae were evaluated, modelled those used clinically or development. are described as crown like...
Many membrane oxygenator patients suffer from renal disfunction. For these patients, a novel device integrating artificial lung and kidney support is being developed. Although outside-in blood flow standard for oxygenators, this not typical hemodialysis systems. The effect of on the efficiency fibers continuous hemofiltration yet unclear. This study evaluates commercial hemodialyzer membranes utilized compared to traditional inside-out mode regarding clearance urea creatinine,...
Accurate modeling of cerebral hemodynamics is crucial for better understanding the stroke, which computational fluid dynamics (CFD) a viable tool to obtain information. However, comprehensive study on accuracy cerebrovascular CFD models including both transient arterial pressures and flows does not exist. This systematically assessed different outlet boundary conditions (BCs) comparing an in-vitro experiment. The experimental setup consisted anatomical phantom high-resolution flow pressure...
Rotary left ventricular assist devices (LVADs) are commonly operated at a constant speed, attenuating blood flow pulsatility. Speed modulation of rotary LVADs has been demonstrated to improve vascular pulsatility and pump washout. The effect LVAD speed on intraventricular dynamics is not well understood, which may have an influence thromboembolic events. This study aimed numerically evaluate characteristics with modulated LVAD. A severely dilated anatomical ventricle was supported by...
Abstract Background Adverse neurological events associated with left ventricular assist devices (LVADs) have been suspected to be related thrombosis. This study aimed understand the risks of thrombosis variations in implanted device orientation. A severely dilated pulsatile patient-specific ventricle, modelled computational fluid dynamics, was utilised identify risk for five cannulation angles. With respect inflow cannula axis directed towards mitral valve, other angles were 25° and 20°...
Abstract Knee osteoarthritis (OA) is a joint disease that affects several tissues: cartilage, synovium, meniscus and subchondral bone. The pathophysiology of this complex still not completely understood existing pharmaceutical strategies are limited to pain relief treatments. Therefore, computational method was developed considering the diverse mechanisms multi-tissue nature OA in order suggest compounds. Specifically, weighted gene co-expression network analysis (WGCNA) utilized identify...
Abstract In osteoarthritis (OA), chondrocyte metabolism dysregulation increases relative catabolic activity, which leads to cartilage degradation. To enable the semiquantitative interpretation of intricate mechanisms OA progression, we propose a network-based model at level that incorporates complex ways in inflammatory factors affect structural protein and protease expression nociceptive signals. Understanding such interactions will leverage identification new potential therapeutic targets...
Ischemic stroke, caused by embolism of cerebral vessels, inflicts high morbidity and mortality. Endovascular aspiration the blood clot is an interventional technique for recanalization occluded arteries. However, hemodynamics in Circle Willis (CoW) are not completely understood, which results medical misjudgment complications during surgeries. In this study we establish a multiscale description thrombectomy. First, CoW modeled as 1D pipe network on basis computed tomography angiography (CTA)...