Data Analytics Helps Predicting Drug Efficacy

     The change in the schedule and the dosage of drug while administrating treatment for a disease like cancer can have a significant effect on the drug efficacy. Doctors / physicians who are treating patients and pharmaceutical companies who are manufacturing those drugs understand the importance of this process. Frequently, depending on how the patient is responding to a drug, the medication needs to be increased or decreased and the quantity of the dosage altered.  Does this sound like being very subjective to a patient and the response of the metabolic reaction of the patient? Does this not sound like a hit and trial mechanism approach to solving such a serious problem like cancer and calls for a more structured approach possibly using data analytics ? What if a fixed schedule and dosage amount can be reached which will bring about the right change in cancer cells in a patient? How would it be for the pharmaceutical companies to use the data and be able to predict miraculous results?