AIMC Topic: Hydrodynamics

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Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.

The International journal of artificial organs Jun 6, 2025
Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their design must balance hydraulic efficiency and hemocompatibility to minimize blood damage. This study presents a multi-objective optimization framework inte...
Hydrodynamics Models, Cardiovascular Platelet Activation Heart-Assist Devices Stress, Mechanical Hemolysis Machine Learning Prosthesis Design Computer Simulation Humans Heart Failure Bayes Theorem Materials Testing
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Underwater bionic undulating fins incorporating thickness effects: hydrodynamic performance and optimal thickness variation rate analysis.

Bioinspiration & biomimetics Jun 5, 2025
In response to the urgent issues faced by current bionic undulating fin robot propulsion mechanisms, such as low working efficiency, insufficient swimming speed, ignoring thickness parameters, and the need for further improvement in biomimetic degree...
Equipment Design Models, Biological Fishes Biomimetics Computer Simulation Animals Robotics Bionics Animal Fins Swimming Hydrodynamics Equipment Failure Analysis
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Amphibious robotic dog: design, paddling gait planning, and experimental characterization.

Bioinspiration & biomimetics May 8, 2025
Mammal-inspired quadruped robots excel in traversing diverse terrestrial terrains but often lack aquatic mobility, limiting their effectiveness in amphibious environments. To address this challenge, an amphibious robotic dog (ARD) was developed, inte...
Biomimetics Swimming Hydrodynamics Gait Dogs Models, Biological Robotics Equipment Design Biomechanical Phenomena Animals
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Development of patient-specific apparent blood viscosity predictive models for computational fluid dynamics analysis of intracranial aneurysms with machine learning approaches.

Computer methods and programs in biomedicine May 4, 2025
BACKGROUND AND OBJECTIVES: A model to predict patient-specific apparent viscosity as a computational condition in computational fluid dynamics (CFD) analysis, which is used in research on intracranial aneurysms, is important. The purpose of this stud...
Hydrodynamics Intracranial Aneurysm Blood Viscosity Male Middle Aged Hematocrit Humans Machine Learning Computer Simulation Female Aged Adult
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An interpretable approach to estimate the self-motion in fish-like robots using mode decomposition analysis.

Nature communications Apr 24, 2025
The artificial lateral line system, composed of velocity and pressure sensors, is the sensing system for fish-like robots by mimicking the lateral line system of aquatic organisms. However, accurately estimating the self-motion of the fish-like robot...
Fishes Hydrodynamics Lateral Line System Models, Theoretical Robotics Computer Simulation Motion Animals
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Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.

Computers in biology and medicine Mar 26, 2025
Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research to model flow in blood vessels and airways. It is further useful to some clinical applications, such as predicting arterial fractional flow reserves,...
Neural Networks, Computer Computer Simulation Hemodynamics Blood Flow Velocity Hydrodynamics Pulsatile Flow Humans Models, Cardiovascular
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Coronary Stenosis Fractional Flow Reserve, Myocardial Hydrodynamics Computed Tomography Angiography Models, Cardiovascular Humans Coronary Angiography Machine Learning Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Severity of Illness Index Coronary Vessels Predictive Value of Tests
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Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD.

Medical & biological engineering & computing Feb 17, 2025
Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed to low wall shear stress (WSS) are more prone to rupture. Therefore, precise WSS determination on the aneurysm is crucial for rupture risk assessment....
Aortic Aneurysm, Abdominal Stress, Mechanical Hydrodynamics Models, Cardiovascular Humans Hemodynamics Deep Learning
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3D velocity and pressure field reconstruction in the cardiac left ventricle via physics informed neural network from echocardiography guided by 3D color Doppler.

Computer methods and programs in biomedicine Feb 13, 2025
Fluid dynamics of the heart chamber can provide critical biological cues for understanding cardiac health and disease and have the potential for supporting diagnosis and prognosis. However, directly acquiring fluid dynamics information from clinical ...
Echocardiography, Three-Dimensional Blood Flow Velocity Hydrodynamics Echocardiography, Doppler, Color Humans Computer Simulation Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Heart Ventricles
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Intelligent Microfluidics for Plasma Separation: Integrating Computational Fluid Dynamics and Machine Learning for Optimized Microchannel Design.

Biosensors Feb 6, 2025
Efficient separation of blood plasma and Packed Cell Volume (PCV) is vital for rapid blood sensing and early disease detection, especially in point-of-care and resource-limited environments. Conventional centrifugation methods for separation are reso...
Microfluidics Humans Plasma Neural Networks, Computer Hydrodynamics Machine Learning
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