Modeling of forced dermal wound healing using intelligent techniques

Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown but it is generally accepted that collagen synthesis, accumulation and organization are increased by mechanical stimuli, resulting in a forced healing process which improves mechanical properties of the damaged tissue. In this paper we focus on the neural networks and regard them as function approximators, and attempt to simulate remodeling phase of dermal wound healing process using neural networks as an intelligent technique.