Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma

HIGHLIGHTS

  • who: Arturo u00c1lvarez-Arenas and collaborators from the MONC, Mathematical Modeling for, Inria Sud-Ouest, Talence, France, of(UROCCR) which is localized at the University have published the paper: Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma, in the Journal: (JOURNAL) of July/16,/2021
  • what: The authors report on a method to extract more information from DMFS curves using a mathematical model of primary tumor growth and metastatic dissemination. The authors propose a method for identification of the parameters of these . . .

     

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