Using Machine Learning and Digital Engineering to Predict Rapid Thrombosis in COVID-19 Patients

Project Scope

In partnership with the University of North Carolina at Pembroke and Dr. Joong-Lyul Lee, the Institute of Digital Engineering USA is continuing into Phase III efforts with research partner North Carolina Collaboratory to monitor, assess, and address the public health impacts of Covid-19.

Covid-19 patients experience increased incidents of blood clot formation despite being treated with blood thinners. The Collaboratory is funding the Phase III research to develop cutting edge models of blood fluid dynamics to improve the understanding and treatment of thrombotic complications such as blood clots in COVID-19 patients. This will be accomplished by using machine learning and digital engineering to predict rapid thrombogenesis in Covid-19 patients. This research is critical to inform the data on blood fluid dynamics in Covid-19 patients