A multiscale computational framework to understand vascular adaptation

M. Garbey, M. Rahman, S. Berceli

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

The failure rate for vascular interventions (vein bypass grafting, arterial angioplasty/stenting) remains unacceptably high. Over the past two decades, researchers have applied a wide variety of approaches to investigate the primary failure mechanisms, neointimal hyperplasia and aberrant remodeling of the wall, in an effort to identify novel therapeutic strategies. Despite incremental progress, specific cause/effect linkages among the primary drivers of the pathology, (hemodynamic factors, inflammatory biochemical mediators, cellular effectors) and vascular occlusive phenotype remain lacking. We propose a multiscale computational framework of vascular adaptation to develop a bridge between theory and experimental observation and to provide a method for the systematic testing of relevant clinical hypotheses. Cornerstone to our model is a feedback mechanism between environmental conditions and dynamic tissue plasticity described at the cellular level with an agent based model. Our implementation (i) is modular, (ii) starts from basic mechano-biology principle at the cell level and (iii) facilitates the agile development of the model.

Original languageEnglish (US)
Pages (from-to)32-47
Number of pages16
JournalJournal of Computational Science
Volume8
DOIs
StatePublished - May 1 2015

Keywords

  • Agent based models
  • Hybrid agent base model
  • Intimal hyperplasia
  • Multiscale
  • Multiscale modeling
  • Pde
  • Surgical outcome
  • Vascular adaptation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Modeling and Simulation

Fingerprint Dive into the research topics of 'A multiscale computational framework to understand vascular adaptation'. Together they form a unique fingerprint.

Cite this