Machine Learning Can Predict The Progression Of Deadly Brain Tumours - PsyBlog

Summary: Many brain cancers are very difficult to treat, but research now provides greater insight into how they grow. Researchers at the University of Waterloo have created a computational model to predict the growth of deadly brain tumours more accurately. 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.