My Virtual Cancer 

L. Shahriyari, University of Massachusetts Amherst (Principal Investigator) 

M. Abdel-Rahman, The Ohio State University (Co-Investigator) 

A. Asadpoure, University of Massachusetts Dartmouth (Co-Investigator) 

C. Cebulla, The Ohio State University (Co-Investigator) 

Y. Chang, Oregon Health & Science University (Co-Investigator) 

W. Hao, Pennsylvania State University (Co-Investigator) 

P. Jackson, Mayo Clinic (Co-Investigator) 

E. Katsoulakis, James A. Haley Veterans’ Hospital (Co-Investigator) 

A. Lee, University of Pittsburg (Co-Investigator) 

N. Mohammad Mirzaei, University of Massachusetts Amherst (Co-Investigator) 

D. Stover, The Ohio State University (Co-Investigator) 

I. Zervantonakis, University of Pittsburg (Co-Investigator)

Since each cancer has its own unique characteristics, they may respond differently to the same treatments. Therefore, the creation of a digital twin (DT) of cancer can assist us in predicting the evolution of an individual's cancer through modeling each tumor's characteristics and response to treatment. Hence, we propose to take advantage of new advances in computational approaches and combine mechanistic, machine learning, and stochastic modeling approaches to create "My Virtual Cancer", a DT platform. This DT platform utilizes biological, biomedical, and EHR data sets. For each patient, the DT receives their information as input and predicts the evolution of their cancer. In this project, we will focus on breast cancer.