Application of digital twins for personalized oncology

Abstract

Digital twins are virtual representations that evolve over time with new data inputs. Cancer applications of digital twins include the integration of molecular information and individual drug responses of patients. They can inform individualized treatment, accelerate drug development through clinical trial simulation and enable the exploration of multiscale relationships in the entire human body to drive new therapeutic discoveries. Digital twins are virtual representations that evolve over time with new data inputs. In this Comment, Asghar and Chung describe cancer applications of digital twins that include the integration of molecular information and individual drug responses of patients, and explain how they can inform individualized treatment, accelerate drug development through clinical trial simulation and enable the exploration of multiscale relationships in the entire human body to drive new therapeutic discoveries.