Elasticity and Material Modeling

Broadband Rheometry of Native Soft Tissues via i-Rheo-Indent

This paper introduces i-Rheo-Indent, a method to measure broadband viscoelasticity of soft tissues without specimen preparation, showing it captures mechanical properties more accurately than conventional methods.

Feasibility study of fluid-structure-growth modelling in the context of endogenous tissue restoration

This study develops and validates two fluid-structure-growth models to predict long-term outcomes of vascular grafts in endogenous tissue restoration.

Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements

This paper introduces a physics-informed neural network to predict myocardial mechanics from physiological measurements, showing improved stress prediction and disease stratification in pulmonary hypertension.

Noise-Aware Constitutive Compatibility Atlas for Hyperelastic Material Characterization

The paper develops a noise-aware constitutive-response atlas to identify compatible hyperelastic material models within a deformation range and error tolerance, using both synthetic and real-world datasets.

Mechanical fidelity of brain tissue phantoms: A comparative experimental characterization of equilibrium and dissipative behavior

This study compares the mechanical behavior of synthetic brain phantoms and porcine brain tissue at different strain rates, identifying limitations in current materials and suggesting improvements.

Shear Strain Stiffening in Cartilage is Governed by a Mechanical Phase Transition

This study investigates shear strain stiffening in cartilage, showing it results from a mechanical phase transition between bending- and stretching-dominated modes, influenced by collagen concentration and compression.

Characterization of time-dependent and history-dependent mechanical behaviour of human masseter muscle

This study investigates the time- and history-dependent mechanical behavior of human masseter muscle under cyclic tensile loading, showing strain-rate and preservation effects on stiffness and viscoelastic properties.

A mechanobiological computational framework of intestinal healing for sutureless surgical strategies

This paper develops a mechanobiological model of intestinal healing to evaluate sutureless surgical strategies, showing that collagen alignment reduces structural distortion and improves mechanical integrity.

Personalized biventricular mechanics and sensitivity to model morphology

The paper develops a patient-specific cardiac mechanics model using clinical data and evaluates its performance against simplified models, finding that truncation significantly affects results.

A reduced glycosaminoglycan-linked residual-strain model captures regional opening angle changes after depletion in the porcine thoracic aorta

The paper develops a model to explain regional changes in aortic opening angles after GAG depletion, showing a common FCD-linked preferred-stretch contribution across regions.

Probabilistic model discovery reveals distinct constitutive behavior of kidney cortex and medulla

This paper develops probabilistic strain energy models for kidney cortex and medulla using neural networks, revealing distinct mechanical properties and variability.

Rate-Dependent Mechanical Behavior of Human Femoropopliteal Arteries in Biaxial Testing

This study examines how different loading rates affect the mechanical behavior of human femoropopliteal arteries, finding significant rate-dependent stiffness, especially in the circumferential direction.

Capturing Regional Variation in Aortic Mechanics: Dual-Estimation Method for Material Parameter Identification and Biological Correlation

The paper introduces a dual-estimation framework to identify aortic material parameters and correlate them with biological variation using data from Wistar rats.

A finite element model of pregnancy derived from maternal sonography: effect of uterine and cervical structural properties on cervical mechanical loading

This study uses finite element modeling to analyze how uterine and cervical structural properties affect cervical mechanical loading during pregnancy, identifying key parameters influencing preterm birth risk.

Image-Derived 3D Blood-Brain Mechanics: Cerebral Haemodynamics, Brain Motion and In Vivo Benchmarking

This study develops a 3D computational framework to model cerebral haemodynamics, arterial wall deformation, and brain tissue motion, benchmarked against in vivo measurements.

Image-Informed Inverse Finite Element Analysis Reveals Altered Constitutive Behavior Following Controlled Uterine Tissue Remodeling

This study uses image-informed inverse finite element analysis to quantify changes in uterine tissue stiffness and collagen behavior after controlled fibrotic remodeling.

Fiber dispersion in the right ventricle: A comparison of constitutive neural network predictions with experimental data

This study compares constitutive neural network predictions of fiber dispersion in the right ventricle with experimental data, showing that multi-axial loading improves parameter identifiability.

Mapping the thymus in the viscoelastic landscape of biological tissues

This paper characterizes the viscoelastic properties and 3D architecture of bovine thymus extracellular matrix, providing a dataset for tissue engineering applications.

Constitutive discovery in the living human heart

This paper develops a framework to discover constitutive models of passive myocardial mechanics directly from in vivo cardiac imaging data, improving accuracy over existing models.

A Method for Image-Based Modeling of Uterine Passive Mechanics During Late Pregnancy

The paper develops an image-based modeling pipeline to study uterine passive mechanics during late pregnancy, achieving computational savings and accurate strain predictions.

Colorectum and Embedded Networks of Nerve Fibers Present Auxetic Responses During Uniaxial Circumferential Extension

This study shows that colorectal tissue and its nerve fibers exhibit auxetic behavior during circumferential stretching, with measurable deformation at both macro and micro scales.

Collagen Shapes Fingertip Surface Strains during Normal Loading

This study uses a biomechanical model to show that collagen anisotropy is essential for accurately simulating fingertip strain patterns during normal loading.

Microstructural and Biomechanical Determinants of Biological Aging

The paper develops a multimodal model to predict biological age using vascular microstructure and biomechanical parameters in mice, achieving high predictive accuracy.

A Microstructurally-Motivated Framework to Study Autoregulation in the Coronary Circulation

This paper develops a microstructurally-motivated model of coronary autoregulation that accurately reproduces hemodynamics and autoregulatory responses across myocardial depths.

The influence of tension-compression switches on brain anisotropic modelling

This study evaluates the impact of tension-compression switches in the GOH model on brain anisotropic modeling, showing that switching parameters and fiber treatment affect WM deformation.

Spatial scale of indentation explains shift in ratio between spinal cord gray and white matter stiffness

This study shows that the stiffness ratio between spinal cord gray and white matter changes with indentation bead size, depending on the anatomical plane.

The Mechanical Fingerprint of Hippocampal Sclerosis Linking Neuronal Cell Loss and Gliosis to Tissue Stiffness

This study links neuronal cell loss and gliosis in hippocampal sclerosis to tissue stiffness using mechanical testing and deep learning analysis of histopathology.

Towards patient-specific biomechanical human brain models

This paper develops a method to estimate patient-specific brain mechanical properties from DTI data, showing that voxel-resolved stiffness distributions improve simulation accuracy compared to region-based approaches.

Bayesian Inference Framework to Identify Skin Material Properties \textit{in vivo} from Active Membranes

This paper introduces a Bayesian framework using active membranes to infer skin biomechanical properties from strain fields without direct force measurements.

Modelling Medial Degenerative Features by Enzymatic Digestion to Evaluate Disease-Relevant Structure-Function Relationships in the Thoracic Aorta

This study uses enzymatic digestion to model ECM degeneration in aortic tissue and identifies biomechanical impacts of elastin, collagen, and proteoglycan degradation.