A new computational model to predict patient-specific growth of glioblastoma multiforme

Researchers at the University of Waterloo and the University of Toronto have developed a new computational model to predict the growth of glioblastoma multiforme (GBM) more accurately. The proliferation-invasion (PI) model is a mathematical model commonly used to describe the growth of glioblastoma multiforme (GBM). It relies on known values of two key parameters, the… Continue reading A new computational model to predict patient-specific growth of glioblastoma multiforme

New Computational Equation To Better Predict Drug-Drug Interactions

A joint research team of mathematicians and pharmacological scientists has identified the major causes of inaccuracies in the Food and Drug Administration’s (FDA) equation for predicting drug-drug interactions and presented solutions. They found that the FDA’s equation, based on the 110-year-old Michaelis-Menten (MM) model, was only accurate 38% of the time. The MM model is… Continue reading New Computational Equation To Better Predict Drug-Drug Interactions