Project BreathEasy using Digital Twins of Lungs to Improve COVID-19 Patient Outcomes
by staff from High-Performance Computing News Analysis | insideHPC on (#524K9)
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.
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