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Virtual cancer patient can predict treatment response

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A computer-generated virtual cancer patient can predict how patients with advanced breast cancer respond to treatment with 70 per cent accuracy, a cancer conference in Birmingham heard last week.

A computer-generated virtual cancer patient can predict how patients with advanced breast cancer respond to treatment with 70 per cent accuracy, a cancer conference in Birmingham heard last week.

In a retrospective study of 33 patients with advanced breast cancer that had spread to the liver, lymph nodes and lungs, researchers from Nottingham City Hospital and the Insititute for Medical Biomathematics in Israel used a cyber patient based on advanced mathematical models to find out which drug of two would work best in each patient.

The Cancer Research UK-funded study found the Optimata virtual cancer patient accurately predicted how around 70 percent of patients responded to the two chemotherapy drugs, docetaxel and doxorubicin.

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