1The Univ. of Tokyo (Japan) 2Hokkaido Univ. Hospital (Japan) 3Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology (Japan) 4Institute of Technological Sciences, Wuhan Univ. (China) 5Univ. of California, Los Angeles (United States)
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In COVID-19 therapy with artificial lungs such as extracorporeal membrane oxygenation (ECMO) machines, platelets in the extracorporeal circulation are often activated by their contact with the artificial materials, leading to the formation of blood clots followed by serious complications such as stroke and heart attack. However, anticoagulation and antithrombotic management is challenging due to the lack of testing tools to evaluate the circulation. Here we demonstrate real-time monitoring of thrombogenesis in the circulation of an ECMO-equipped goat with an intelligent platelet aggregate characterizer (iPAC), which is based on imaging flow cytometry and deep-learning-based analysis of numerous platelet aggregates in blood.
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