A biologically derived approach to tissue modeling.

Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim) coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim is capable of developing a virtual tissue with higher order properties. Using primitives based on cell signaling, gene networks, cell division, growth, and death, we have encoded a 64-cell cube-shaped tissue with emergent capacity to repair itself when up to 60% of its cells are destroyed. Other tissue shapes such as sheets of cells also repair themselves. Capacity for self-repair is an emergent property derived from, but not specified by, the rule sets used to generate these virtual tissues.