A Computer Program for Tracking Cancer Development and Movement

Introduction | Desc. & Method | Results | Analysis | Conclusions | Achievements | Recommendations | Acknowledgements
A-Report Figures | B-Screen Shots | C-frmInput | D-GraphicCell | E-frmAbout | F-frmSimulation | G-frmCellCount | H-frmSplash
Abstract | Interim Report | Interim Presentation | Printable Final Report

Conclusions

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We are able to draw many conclusions from the results we achieved, especially because the results are mostly valid. Some of the conclusions that we made in doing this projects was that cancerous cell growth did indeed follow a sigmoidal curve. The initially exponential restriction-free growth eventually ate up the system's resources which made growth rate to level and become somewhat linear. This conclusion is very important as with this knowledge, we are able to determine how to treat someone with cancer because we will know approximately how many cancerous cells there are and how to deal with it. The amount of cancerous cells and knowing which stage of development the cancer is in will also tell us how severe the cancer is or will be, giving us further insight into what little we know of this deadly disease.

We also can conclude what shape melanoma cancer moles grow in. Through the research done in this project, we confirmed our beliefs that melanoma cancer's moles grew in an elliptical shape. This again would give us insight into how to treat the cancer. Dr. Wong informed us that if the cancer is not too far into development, the cancer mole can often be cut off. Using this program, we would be able to determine the stage of development and the current shape of the cancerous mole. This would assist the surgeon in knowing where to cut without making an unneeded cut and possibly making the mole burst, which would make the cancer worse. The flexibility of the program due to the many user inputs also allows for this program to be used in purposes such as this one when the output becomes totally perfected.

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