AIMC Topic: Stress, Mechanical

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Direct pixel to pixel principal strain mapping from tagging MRI using end to end deep convolutional neural network (DeepStrain).

Scientific reports Nov 26, 2021
Regional soft tissue mechanical strain offers crucial insights into tissue's mechanical function and vital indicators for different related disorders. Tagging magnetic resonance imaging (tMRI) has been the standard method for assessing the mechanical...
Humans Neural Networks, Computer Heart Hypertension, Pulmonary Stress, Mechanical Monte Carlo Method Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver
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Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper.

Science robotics Oct 13, 2021
Soft grippers that incorporate functional materials are important in the development of mechanically compliant and multifunctional interfaces for both sensing and stimulating soft objects and organisms. In particular, the capability for firm and deli...
Smart Materials Bioengineering Biomedical Engineering Elastic Modulus Biomimetics Calibration Stress, Mechanical Animals Pressure Snails Biotechnology Hand Strength Man-Machine Systems Robotics Nanowires Equipment Design Materials Testing Humans Temperature
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Machine Learning Accelerated, High Throughput, Multi-Objective Optimization of Multiprincipal Element Alloys.

Small (Weinheim an der Bergstrasse, Germany) Sep 15, 2021
Multiprincipal element alloys (MPEAs) have gained surging interest due to their exceptional properties unprecedented in traditional alloys. However, identifying an MPEA with desired properties from a huge compositional space via a cost-effective desi...
Molecular Dynamics Simulation Stress, Mechanical Alloys Machine Learning Algorithms
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Predictive constitutive modelling of arteries by deep learning.

Journal of the Royal Society, Interface Sep 8, 2021
The constitutive modelling of soft biological tissues has rapidly gained attention over the last 20 years. Current constitutive models can describe the mechanical properties of arterial tissue. Predicting these properties from microstructural informa...
Stress, Mechanical Arteries Biomechanical Phenomena Deep Learning Models, Biological
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A robust fuzzy logic-based model for predicting the critical total drawdown in sand production in oil and gas wells.

PloS one Apr 26, 2021
Sand management is essential for enhancing the production in oil and gas reservoirs. The critical total drawdown (CTD) is used as a reliable indicator of the onset of sand production; hence, its accurate prediction is very important. There are many p...
Fuzzy Logic Stress, Mechanical Statistics as Topic Time Factors Models, Theoretical Sand Oil and Gas Fields
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Inverse identification of hyperelastic constitutive parameters of skeletal muscles via optimization of AI techniques.

Computer methods in biomechanics and biomedical engineering Mar 31, 2021
Studies on the deformation characteristics and stress distribution in loaded skeletal muscles are of increasing importance. Reliable prediction of hyperelastic material parameters requires an inverse process, which possesses challenges. This work pro...
Finite Element Analysis Artificial Intelligence Muscle, Skeletal Stress, Mechanical Elasticity Bayes Theorem Models, Biological
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Bone strain index as a predictor of further vertebral fracture in osteoporotic women: An artificial intelligence-based analysis.

PloS one Feb 8, 2021
BACKGROUND: Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bone fractures burdened by high mortality and disability, mainly when several subsequent fractures occur. A fragility fracture predictive model, Artifici...
Osteoporotic Fractures Stress, Mechanical Absorptiometry, Photon Spinal Injuries Biomechanical Phenomena Middle Aged Spine Humans Bone Density Female Neural Networks, Computer Prognosis
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Detachment of the remora suckerfish disc: kinematics and a bio-inspired robotic model.

Bioinspiration & biomimetics Aug 21, 2020
Remora suckerfish can attach to a wide diversity of marine hosts, however, their detachment mechanism remains poorly understood. Through analyzing high-speed videos, we found that the detachment of the live remora (Echeneis naucrates) is a rapid beha...
Adhesives Perciformes Fishes Biomimetics Biomechanical Phenomena Animals Robotics Behavior, Animal Ascomycota Hydrodynamics Friction Surface Properties Stress, Mechanical Suction Computer Simulation
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Numerical simulation of deformed red blood cell by utilizing neural network approach and finite element analysis.

Computer methods in biomechanics and biomedical engineering Aug 10, 2020
In order to have research on the deformation characteristics and mechanical properties of human red blood cells (RBCs), finite element models of RBC optical tweezers stretching and atomic force microscope (AFM) indentation were established. Non-linea...
Nonlinear Dynamics Microscopy, Atomic Force Erythrocytes Erythrocyte Deformability Finite Element Analysis Numerical Analysis, Computer-Assisted Stress, Mechanical Elasticity Algorithms Humans Computer Simulation Neural Networks, Computer Models, Biological
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A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement.

International journal of computer assisted radiology and surgery Jun 8, 2020
PURPOSE: The development of straightforward classification methods is needed to identify unstable aneurysms and rupture risk for clinical use. In this study, we aim to investigate the relative importance of geometrical, hemodynamic and clinical risk ...
Pilot Projects Linear Models Stress, Mechanical Aneurysm, Ruptured Intracranial Aneurysm Humans Machine Learning Female Male Middle Aged Hemodynamics
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