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ViBRheo develops a computational framework to monitor blood clotting and diagnose coagulopathies non-invasively. By analyzing blood rheology, it aims to create tools for early detection and management of coagulation disorders, particularly in COVID-19 patients, while also supporting broader applications in medicine.
Early-stage diagnosis and continuous non-invasive monitoring of coagulopathies is a challenging problem that has been exacerbated by the COVID-19 pandemic.
In this context, viscoelastic characterisation of the whole blood and plasma represents an excellent diagnosis approach, incorporating implicitly several molecular factors.
However, a careful interpretation of coagulation abnormalities and adaptation of the techniques to the new disease is needed.
ViBRheo aims to construct a novel computatio…
BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS
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