My Virtual Cancer

  • Shahriyari, Leili (PI)
  • Mirzaei, Navid Mohammad (CoPI)
  • Abdel-rahman, M. M. (CoPI)
  • Cebulla, Colleen M. (CoPI)
  • Stover, D. D. (CoPI)
  • Asadpoure, Alireza (CoPI)
  • Chang, Y. Y. (CoPI)
  • Hao, W. W. (CoPI)
  • Jackson, P. P. (CoPI)
  • Katsoulakis, E. E. (CoPI)
  • Lee, Adrian V. (CoPI)
  • Zervantonakis, Ioannis K. (CoPI)

Project: Research project

Project Details

Description

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.

StatusFinished
Effective start/end date5/1/2111/1/21

Funding

  • Advanced Scientific Computing Research: $49,966.00

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