
Applied Neural Networks: Modeling and Control of Wound Healing Process
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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. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue...
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. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue.