AI Medical Compendium Journal:
Journal of the mechanical behavior of biomedical materials

Showing 1 to 10 of 36 articles

Simulation of a Free Boundary Cell Migration Model through Physics Informed Neural Networks.

Journal of the mechanical behavior of biomedical materials Feb 28, 2025
Understanding the complexities of single-cell migration is facilitated by computational modeling, which provides important insights into the physiological processes that underlie migration mechanisms. This study developed a computational model for on...
Actins Cell Movement Neural Networks, Computer Models, Biological Mechanical Phenomena Biomechanical Phenomena Actomyosin
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Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications.

Journal of the mechanical behavior of biomedical materials Feb 25, 2025
The role of additive manufacturing (AM) for healthcare applications is growing, particularly in the aspiration to meet subject-specific requirements. This article reviews the application of artificial intelligence (AI) to enhance pre-, during-, and p...
Printing, Three-Dimensional Biocompatible Materials Humans Artificial Intelligence
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Exploring hyperelastic material model discovery for human brain cortex: Multivariate analysis vs. artificial neural network approaches.

Journal of the mechanical behavior of biomedical materials Feb 10, 2025
The human brain, characterized by its intricate architecture, exhibits complex mechanical properties that underpin its critical functional capabilities. Traditional computational methods, such as finite element analysis, have been instrumental in unc...
Humans Neural Networks, Computer Multivariate Analysis Cerebral Cortex Finite Element Analysis Biomechanical Phenomena Elasticity
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A bio-lattice deep learning framework for modeling discrete biological materials.

Journal of the mechanical behavior of biomedical materials Jan 25, 2025
Biological tissues dynamically adapt their mechanical properties at the microscale in response to stimuli, often governed by discrete interacting mechanisms that dictate the material's behavior at the macroscopic scale. An approach to model the discr...
Models, Biological Mechanical Phenomena Finite Element Analysis Biomechanical Phenomena Deep Learning
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Super-fast and accurate nonlinear foot deformation Prediction using graph neural networks.

Journal of the mechanical behavior of biomedical materials Dec 9, 2024
Recently, there has been a significant increase in the number of foot diseases, highlighting the importance of non-surgical treatments. Customized insoles, tailored to an individual's foot morphology, have emerged as a promising solution. However, th...
Finite Element Analysis Graph Neural Networks Foot Mechanical Phenomena Humans Neural Networks, Computer Time Factors Nonlinear Dynamics Biomechanical Phenomena
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Biomechanical simulation of segmented intrusion of a mandibular canine using Robot Orthodontic Measurement & Simulation System (ROSS).

Journal of the mechanical behavior of biomedical materials Sep 6, 2024
OBJECTIVE: Aim of this study was to investigate the forces and moments during segmented intrusion of a mandibular canine using Cantilever-Intrusion-Springs (CIS).
Orthodontics Mechanical Tests Mechanical Phenomena Biomechanical Phenomena Cuspid Mandible Tooth Movement Techniques Stress, Mechanical Robotics
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A machine learning system for artificial ligaments with desired mechanical properties in ACL reconstruction applications.

Journal of the mechanical behavior of biomedical materials Aug 22, 2024
The anterior cruciate ligament is one of the important tissues to maintain the stability of the human knee joint, but it is difficult for this ligament to self-heal after injury. Consequently, transplantation of artificial ligaments (ALs) has gained ...
Mechanical Phenomena Anterior Cruciate Ligament Mechanical Tests Anterior Cruciate Ligament Reconstruction Artificial Organs Ligaments Biomechanical Phenomena Materials Testing Humans Neural Networks, Computer Machine Learning
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Predicting ultrasound wave stimulated bone growth in bioinspired scaffolds using machine learning.

Journal of the mechanical behavior of biomedical materials Aug 14, 2024
For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have been shown to correlate to increased fracture risk using techniques such as dual-energy x-ray absorptiometry (DXA) and computed tomography (CT). Addit...
Machine Learning Tissue Scaffolds Bone Development Porosity Ultrasonic Waves
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A study of forecasting the Nephila clavipes silk fiber's ultimate tensile strength using machine learning strategies.

Journal of the mechanical behavior of biomedical materials Jun 26, 2024
Recent advancements in biomaterial research conduct artificial intelligence for predicting diverse material properties. However, research predicting the mechanical properties of biomaterial based on amino acid sequences have been notably absent. This...
Materials Testing Tensile Strength Animals Neural Networks, Computer Silk Machine Learning
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Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability.

Journal of the mechanical behavior of biomedical materials Jun 17, 2024
Currently, the use of autografts is the gold standard for the replacement of many damaged biological tissues. However, this practice presents disadvantages that can be mitigated through tissue-engineered implants. The aim of this study is to explore ...
Biomimetic Materials Polyvinyl Alcohol Tissue Engineering Tissue Scaffolds Tensile Strength Mechanical Phenomena Machine Learning Materials Testing
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