Using machine learning to predict brain tumor progression
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Glioblastoma multiforme (GBM) is a brain cancer with an average survival rate of only one year. It is difficult to treat due to its extremely dense core, rapid growth, and location in the brain. Estimating these tumours’ diffusivity and proliferation rate is useful for clinicians, but that information is hard to predict for an individual patient quickly and accurately. Researchers at the University of Waterloo and the University of Toronto have partnered with St. Michael’s Hospital in Toronto to analyze MRI data from multiple GBM sufferers. They’re using machine learning to fully analyze a patient’s tumour, to better predict cancer…