Article 524K9 Project BreathEasy using Digital Twins of Lungs to Improve COVID-19 Patient Outcomes

Project BreathEasy using Digital Twins of Lungs to Improve COVID-19 Patient Outcomes

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from High-Performance Computing News Analysis | insideHPC on (#524K9)
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OnScale and LEXMA have partnered to create patient-specific digital twins that may accurately predict oxygen and blood flow in a patient's lungs, helping doctors make critical decisions about ventilator and intubation requirements for COVID-19 patients. Each digital twin is patient-specific and built from a combination of medical images (for example from CT scans and X-rays) and thousands of simulations of lung airflow and blood flow using the LEXMA Moebius fluid dynamics solver running on OnScale's Cloud Simulation platform.

The post Project BreathEasy using Digital Twins of Lungs to Improve COVID-19 Patient Outcomes appeared first on insideHPC.

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