%0 Generic
%A van Asten, Jordy
%A Ristori, Tommaso
%A Nolan, David
%A Lally, Caitríona
%A Baaijens, Frank
%A Sahlgren, Cecilia
%A Loerakker, Sandra
%D 2022
%T Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension"
%U https://data.4tu.nl/articles/dataset/Data_belonging_to_the_publication_Computational_analysis_of_the_role_of_mechanosensitive_Notch_signaling_in_arterial_adaptation_to_hypertension_/20237562/1
%R 10.4121/20237562.v1
%K Finite Element model
%K Agent-Based model
%K Hypertension
%K Notch signaling
%K Growth and remodeling
%K Mechanobiology
%X <p>This study couples a Finite Element model for arterial mechanics to an Agent-Based model for mechanosensitive Notch signaling among vascular smooth muscle cells to predict the phenotype of these cells under hypertension, a loss of residual stresses in the artery, and manipulations of the Notch signaling pathway. This dataset contains the codes for the Finite Element model, the Agent-Based model and the coupling between them, as well as the raw data generated by these models.</p>
%I 4TU.ResearchData