Prof. Odde developing a simulator to predict COVID-19 trial outcomes

April 13, 2020 — Professor David Odde is creating a biophysical computer model that simulates COVID-19 on a molecular and cellular level, and tests therapies and vaccines computationally.

Prof. Odde explains how he is applying his computational modeling skills in cancer to COVID-19.

Accelerating COVID-19 discoveries

A COVID-19 computer model could steer clinical trials toward potentially more effective interventions and away from less effective ones, ultimately optimizing research efforts. Such a model could help researchers:

  • Predict trial outcomes
  • Identify novel biomarkers
  • Identify novel targets
  • Stratify patients
  • Triage trial opportunities
  • Identify combination therapies
  • Identify source(s) of variable patient-to-patient outcomes
  • Guide pre-clinical studies
  • Inform clinical trial failure analysis

Researchers: Upload your COVID-19 data to help accelerate this important work.

Background and support

The project is a natural extension of Prof. Odde’s research interests in creating disease simulators to predict the progression of cancer and neurodegenerative disorders.

Efforts are supported by the UMN Campus Public Health Officer's Rapid Response Research Grants program, designed to help University of Minnesota faculty to catalyze research projects designed to address and mitigate the COVID-19 virus and its associated risks.

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