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Cancerous tumors from the mutations of one or more cells which usually undergo rapid uncontrolled growth thereby are impairing the functioning of normal tissues. There are many different types of cancers, we concerned with the brain tumor predominantly Glioblastoma, which make up about half of all primary brain tumors diagnosed. It is very nasty tumors with a depressingly dismal prognosis for recovery. We believe that model could be used to make predictions regarding the survival time of the patient following the various types of treatments including resection, radiation and chemotherapy. For clarification of the models we established the Kamal Variational Iteration Method (KVIM).
KVIM gives rapidly convergent successive approximations without any restrictive assumptions or transformations which may change the physical behaviour of the problem. Kamal Transform is a new arrival of an integral transform which is useful to apply to find the Lagrange Multiplier in VIM method. Generally it is difficult to crack out. Using the Kamal Transform it’s become easier to find the same and one can hoard the time.
Aim of this research is to thrash out the current developments of the methods to crack the mathematical models of effect of different drugs used in chemotherapy treatment upon Glioblastomatumor cells growth and invasion when early cancer cells are known and unknown when both appeared in Homogeneous medium. It might be unlock the doors for improvement in prediction of recovery of the patient.