Avatar: Personalized Precision Radio-Genomic Theranostic Oncology

Abstract

Creation of a virtual avatar of a patient with cancer has the potential to transform theranostics into a truly individualized precision treatment of specific cancers, which express targetable receptors. Each patient is unique. Their cancer molecular biology has its own inherent relationship to their genomic phenotype and the metabolomic and immunological milieu of their tumor. This singularity can be captured and simulated through generation of an avatar, incarnated by means of artificial intelligence collection, collation and analysis of personal radio-genomics, tumor pathology, and molecular biology data, in the form of a digital twin. The capacity to replicate these idiosyncratic individual interactions within a digital twin construct of such a virtual avatar allows contemplation of ex vivo prototypical design and testing of N-of-1 theranostic strategies in real time. Continuing follow-up and analysis of evolving data confers the opportunity to adapt treatments to predict tumor response of the cancer in the avatar in order to optimize clinical outcomes in the actual patient.

Keywords: AI; digital twins; personalized precision radio-genomic cancer care; radiation dosimetry.