title: Biomaterial science meets computational biology.
abstract: There is a pressing need for a predictive tool capable of revealing a holistic understanding of fundamental elements in the normal and pathological cell physiology of organoids in order to decipher the mechanoresponse of cells. Therefore, the integration of a systems bioengineering approach into a validated mathematical model is necessary to develop a new simulation tool. This tool can only be innovative by combining biomaterials science with computational biology. Systems-level and multi-scale experimental data are incorporated into a single framework, thus representing both single cells and collective cell behaviour. Such a computational platform needs to be validated in order to discover key mechano-biological factors associated with cell-cell and cell-niche interactions.
authors.affiliation: Faculty of Science and Engineering, Queensland University of Technology, Brisbane, Australia, dietmar.hutmacher@qut.edu.au.
authors.forename: Dietmar W
authors.initials: DW
authors.lastname: Hutmacher
authors.forename: J Paige
authors.initials: JP
authors.lastname: Little
authors.forename: Graeme J
authors.initials: GJ
authors.lastname: Pettet
authors.forename: Daniela
authors.initials: D
authors.lastname: Loessner
mesh_terms: D000818:Animals; D002462:Cell Membrane / Q000502:physiology*; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D005109:Extracellular Matrix / Q000502:physiology*; D006801:Humans; D040542:Mechanotransduction, Cellular / Q000502:physiology*; D008954:Models, Biological; D023822:Tissue Engineering / Q000379:methods*