The graphical output of our program indicated that cancer initially grows in a circular fashion and then as it grows larger, begins to take the shape of an ellipse. Our graph indicated that initially cancer growth is exponential but then slows down, causing the graph of number of cells versus time to initially appear exponential but as the time that the simulation runs increases we see that the graph is actually sigmoidal. We have benchmarked all of these aspects of cancer with Dr. Wong. This therefore shows that the program somewhat accurately measures the growth of cancer, a very important point to be extracted from our results.
In addition, the graphical model of the skin shows that the mole expands in the elliptical fashion that we hoped for. Cancer can expand in either horizontally or vertically, though probability shows that cancer grows horizontally. The same probability is applies in this program and the same results are therefore generated that again verifies the program's accuracy.
These positive results indicate that our program is on its way to becoming useful to anyone wishing to know more about the growth and behavior of melanoma cancer. Although we have only a basic version of a cancer model, the outputs we observed from our program show that our code is sound and need only be improved upon rather than changed. Our program would be sufficient to give someone a basic understanding of the movement of cancer throughout the body and its behavior in regards to infecting other healthy cells.
Overall, it seems that the results not only compared with scientist' theoretical knowledge, but it also conformed to trends in clinical and laboratory research. These results are often hard to achieve as there are many different variables acting upon melanoma cancer development that do not exist in the theories.