Computational Mechanics and Biology of Human Tissues

Recent technological advances in experimental techniques have taken the investigation of the mechanics of biological tissues down to the nano scale. To complement fundamental experimental research on biological tissues, novel computational methods contribute to the construction of theoretical models that make it possible to understand the complexity of the constitutive behaviors of biological tissues. These computational methods also play a key role in the image processing of the experiments in particular at the cellular level to understand essential biology function such as mechano-sensing and mechano-transduction. Despite the tremendous challenges these methods are facing, collaborative experimental and theoretical efforts have the potential to overcome scientific barriers quickly, transform the bioengineering community and advance tissue engineering through the diverse combinations of stem cells and innovative micro-environment.

This symposium will focus on the modeling of human tissue mechanics and biology and live systems promoting tissue growth. The biological tissues considered include cardiac, connective, muscle, neural, epithelial and endothelial tissues. This symposium will also consider the investigation of the mechanics of the cells of the aforementioned biomaterials in relation to their physiological response modeled in the frame of mechanobiology. Are welcome solid mechanics studies of the musculoskeletal system and soft tissues as well as fluid structure interaction models for cardiovascular descriptions and endothelial cells mechanics. Growth models to describe the mechanics at the interface between biological tissues and biocompatible materials are very welcome.

Targeted themes:
Cell mechanics and modeling, mechanics of cellular sub-structure, cell biology, cell interactions, cell growth, cell imaging, mechanobiology, mechanosensing and mechanotransduction.

Tissue mechanics and characterisation, constitutive modeling, tissue remodeling, tissue/tumor growth, tissue pathological evolution, tissue imaging, multi-scale and multi level models.

Tissue engineering, tissue growth, stem cells, cell-substrate interaction.