Search Results for author:
Found 5 papers, 0 papers with code
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes
Quantifying biomechanical properties of the human vasculature could deepen our understanding of cardiovascular diseases.
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning
Many genetic mutations adversely affect the structure and function of load-bearing soft tissues, with clinical sequelae often responsible for disability or death.
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
Thoracic aortic aneurysm (TAA) is a localized dilatation of the aorta resulting from compromised wall composition, structure, and function, which can lead to life-threatening dissection or rupture.
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network
Aortic dissection progresses via delamination of the medial layer of the wall.
What do cells regulate in soft tissues on short time scales?
Cells within living soft biological tissues seem to promote the maintenance of a mechanical state within a defined range near a so-called set-point.
