Mathematical models for predicting how cancer tumors in mice grow over time can give distorted results if unmeasurable data is ignored, a team that includes two RIKEN researchers has shown. This finding has important implications when applying mathematical models to medicine. Mathematical models for predicting how cancer tumors in mice grow over time can give distorted results if unmeasurable data is ignored, a team that includes two RIKEN researchers has shown. This finding has important implications when applying mathematical models to medicine. Molecular & Computational biology Phys.org – latest science and technology news stories
Leaving unmeasurable data out of mathematical models for tumor growth can produce inaccurate results
