Chaotic Behavior in Intracellular Space: An Implication for Modeling and Simulation of Cancer

Understanding what causes cancer remains the most challenging research in medicine and biology. Biomedical research and clinical trials are spending constant effort in finding out new information regarding anything that has to do with cancer. This is because cancer is a complex disease and our knowledge about cancer is still very primitive. In fact we may never know everything about cancer. We are interested in searching into possible chaotic behavior of cancer in its intracellular space captured by scanning electron microscopy (SEM) and focused ion beam (FIB) images using the theory of chaos. Such a study rarely exists in literature and its finding may give some insight into the identification of an appropriately underlying mechanism for computer modeling and simulation of cancer which is very computationally useful and cost-effective for targeted drug treatment of cancer diseases.