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Prognostication of Pregnant COVID-19 Patients

 

“PRognostication of ObsTEtric COVID-19 paTients” (PROTECT) is a Canadian-based study that collects COVID-19 data from international sources. The study is creating an artificial intelligence algorithm that identifies patterns and predicts disease severity and progression in pregnant women with COVID-19. The study is seeking international data from any principal investigator / group who is interested in collaborating and contributing their data. The more data are included, the more accurate such a predictive algorithm will be. The resulting algorithm will be made publically available to benefit the global health community. Variables of interest include, but are not limited to: demographics, comorbidities, respiratory parameters, radiological results, laboratory markers and outcomes.

The study is led by Dr. Dafna Sussman and Dr. Rasha Kashef from the department of Biomedical Engineering at Ryerson University, Dr. Joel Ray, from the Department of Medicine and Obstetrics and Gynecology at St. Michael’s Hospital (Toronto), and Drs. Wendy Whittle, Rohan D’Souza, Sebastian Hobson, Mara Sobel and John Snelgrove from the Department of Obstetrics and Gynecology at Mount Sinai Hospital (Toronto).

For inquiries or if you are interested, please contact Christie, the research coordinator at: chunyi.tan@mail.utoronto.ca and/or the Primary Principal Investigator: Dr. Sussman at dafna.sussman@ryerson.ca