AI Medical Compendium Journal:
Biomechanics and modeling in mechanobiology

Showing 11 to 17 of 17 articles

Machine learning methods to support personalized neuromusculoskeletal modelling.

Biomechanics and modeling in mechanobiology Jul 16, 2020
Many biomedical, orthopaedic, and industrial applications are emerging that will benefit from personalized neuromusculoskeletal models. Applications include refined diagnostics, prediction of treatment trajectories for neuromusculoskeletal diseases, ...
Imaging, Three-Dimensional Machine Learning Biomechanical Phenomena Models, Anatomic Humans Musculoskeletal System Nervous System
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Continuous models for peristaltic locomotion with application to worms and soft robots.

Biomechanics and modeling in mechanobiology Jul 10, 2020
A continuous model for the peristaltic locomotion of compressible and incompressible rod-like bodies is presented. Using Green and Naghdi's theory of a directed rod, incompressibility is enforced as an internal constraint. A discussion on muscle actu...
Animals Robotics Models, Biological Reproducibility of Results Biomechanical Phenomena Computer Simulation Biomimetics Oligochaeta Hydrostatic Pressure Peristalsis Locomotion
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Prediction of stenosis behaviour in artery by neural network and multiple linear regressions.

Biomechanics and modeling in mechanobiology Feb 3, 2020
Blood flow analysis in the artery is a paramount study in the field of arterial stenosis evaluation. Studies conducted so far have reported the analysis of blood flow parameters using different techniques, but the regression analysis is not adequatel...
Algorithms Constriction, Pathologic Linear Models Humans Neural Networks, Computer Arteries
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A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue.

Biomechanics and modeling in mechanobiology Dec 10, 2019
Real-time simulation of organs increases comfort and safety for patients during the surgery. Proper generalized decomposition (PGD) is an efficient numerical method with coordinate errors below 1 mm and response time below 0.1 s that can be used for ...
Finite Element Analysis Models, Cardiovascular Anisotropy Stress, Mechanical Elasticity Imaging, Three-Dimensional Liver Materials Testing Nonlinear Dynamics Models, Biological Animals Swine Algorithms Computer Simulation Neural Networks, Computer Machine Learning Humans
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Using machine learning to characterize heart failure across the scales.

Biomechanics and modeling in mechanobiology Jun 25, 2019
Heart failure is a progressive chronic condition in which the heart undergoes detrimental changes in structure and function across multiple scales in time and space. Multiscale models of cardiac growth can provide a patient-specific window into the p...
Animals Male Time Factors Myocardium Swine Computer Simulation Female Machine Learning Models, Cardiovascular Elasticity Heart Ventricles Muscle Cells Systole Heart Failure Diastole
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A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.

Biomechanics and modeling in mechanobiology Apr 6, 2017
Geometric features of the aorta are linked to patient risk of rupture in the clinical decision to electively repair an ascending aortic aneurysm (AsAA). Previous approaches have focused on relationship between intuitive geometric features (e.g., diam...
Numerical Analysis, Computer-Assisted Computer Simulation Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Risk Models, Statistical Machine Learning Finite Element Analysis Regression Analysis Aortic Aneurysm
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An information-based machine learning approach to elasticity imaging.

Biomechanics and modeling in mechanobiology Nov 18, 2016
An information-based technique is described for applications in mechanical property imaging of soft biological media under quasi-static loads. We adapted the Autoprogressive method that was originally developed for civil engineering applications for ...
Models, Biological Stress, Mechanical Phantoms, Imaging Finite Element Analysis Algorithms Humans Elasticity Biomechanical Phenomena Machine Learning
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