H2020Индивидуална стипендия2022–2023

ViBRheo · Design of a Virtual Blood Rheometer for Thrombotic Process Characterization

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2022-01-01 → 2023-12-31
Финансиране от ЕС: 172 932 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Виртуалният реометър изследва промените във вискозитета на кръвта, например при образуването на тромби. Това помага за по-добрата диагностика на състоянията на съсирване и определянето на подходящи стратегии за профилактика при тежко болни пациенти.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Desing of a Virtual Blood Rheometer for Thrombotic Process Characterization

The COVID-19 pandemic marked an unprecedented health crisis of this century. Critically ill patients, ranging from 20 to 30 percent, faced coagulopathies leading to thrombotic complications. Understanding the clotting mechanism remains elusive, emphasizing the need for effective treatment strategies to prevent complications. Traditional clinical treatments proved inefficient or had adverse effects, hindering widespread adoption. A robust and continuous diagnosis is crucial for implementing proper prophylactic strategies. Viscoelastic characterization of whole blood, utilizing rheological tests, emerges as an integral indicator. Although viscoelastic testing was explored for diagnosing coagulopathies, routine use was delayed due to the need for specific adaptations to the new disease protocols. Thrombus formation, a natural multiscale mechanism in blood, involves wide spatiotemporal ranges, making computational modeling complex. ViBRheo introduced a Lagrangian heterogeneous multiscale method to address diagnostic challenges. This method streamlines viscometric technique calibration, explores novel flow configurations for rheological characterization, and identifies biomarkers systematically. The project's overall objective was to construct a computational rheometer to characterize blood's viscoelastic alterations related to coagulopathies. Four focus areas included building a computational package for full-Lagrangian heterogeneous multiscale approaches, creating a multiscale virtual rheometer for hemostasis testing, correlating viscoelastic properties with coagulation alterations for biomarker identification, and evaluating flow configurations for meaningful rheological correlations. In conclusion, ViBRheo successfully developed a particle-based computational multiscale method for rheological characterization, modeling microscale blood clotting features over large spatiotemporal scales. The project coincided with constructing a computational tool for multiscale coupling and developing mesoscale models to reproduce complex blood clotting features. ViBRheo's findings provide characteristic fingerprints for passive rheology, facilitating differentiation or identification of complex biological and synthetic systems like viruses, cells, proteins, or polymers.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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 computational multiscale framework able to detect alterations in blood rheology during clot formations. The framework will account for variations of viscometric properties at clinically-relevant conditions, whereas incorporating large memory effects related to coagulation kinetics from the microscales. Our goal is to translate research models into clinical applications. Thus, facilitating the virtual calibration and the design of microfluidic devices to extract microstructural features of blood undergoing clotting. Additionally, ViBRheo will potentially lead to the definition of mechanistic biomarkers for early detection and easier monitoring of acute coagulopathy on COVID-19 patients. ViBRheo will count on the support of an interdisciplinary team, with broad expertise on medicine, modelling, engineering, physics, and applied mathematics. Furthermore, it will promote theoretical/experimental exchange on hemorheological results. The development of a computational tool is in line with the 2030 UN Sustainable Development Goals. It facilitates early response to unprecedented diseases with broad applicability in coagulation disorders, beyond the current COVID19-related coagulopathies.

Оригинален текст от CORDIS (на английски).

Участници

BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS · BilbaoКоординаторИспания