Study reveals machine learning can predict brain tumor progression

Waterloo [Canada], January 16 (ANI): Researchers at the University of Waterloo have developed a computational model to better accurately anticipate the emergence of lethal brain tumours. Glioblastoma multiforme (GBM) is a type of brain cancer with a one-year survival rate. Because of its extraordinarily dense core, fast growth, and location in the brain, it is tough to cure. Estimating the diffusivity and proliferation rate of these tumours is useful for clinicians, but this information is difficult to estimate for an individual patient fast 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.