During clinical studies, the Virtual Cancer Patient Engine (VCP) was found to be 70 percent accurate in predicting individualized patient response to chemotherapy drugs. The significance of the ability of this new technology to make accurate predictions in cancer treatments that will work before treatment begins is a 40 to 45 percent better accuracy rate than is currently predicted by oncologists. VCP analyzes how chemotherapy drugs will affect the growth of the cancer, how the chemotherapy drugs will behave in the body and how the cancer cells will respond to the chemotherapy drugs using mathematical modeling and computerized simulation between biological, pathological and pharmacological processes of drug-patient interactions.

According to researcher Dr. Abhik Mukherjee, "Every cancer is slightly different and every patient will respond to treatment differently. We wanted to find a way to predict how patients would respond to a particular drug in order to limit their side effects and give them the best chance of beating their disease."

Rather than throwing everything at the wall to see what sticks, as Katie Couric described current cancer treatments, this technology has the potential for creating individualized treatments specific to the patient and their cancer in determining what will work ahead of time without putting the patient through unnecessary treatments that will not work. To learn more, visit Optimata.