Collaborative Research Project 7

Principal investigator: Sharyn Katz (University of Pennsylvania)

Leveraging registry data to conduct virtual clinical trials.

Updated January 20, 2023


Using MIDRC imaging data, project investigators have been working on creating virtual clinical trials, which simulate the randomization of diagnostic or treatment modalities for COVID-19.  The success of such a virtual clinical trial can be determined by comparing the diagnostic arms to each other in the absence of a clinical trial to test the technologies in either arm.  The randomization of de-identified patient data compared to actual randomization assignment in a diagnostic arm is being evaluated to determine translation of virtual to real-world clinical trials.

This project continues to work on its initial aims with more diverse data.

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CRP 6: Safe public training dataset for COVID-19 machine learning algorithms

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CRP 8: Prediction of COVID pneumonia outcome using radiomic feature analysis