Image-Based In Silico Modelling of Feto-Placental Vasculature
The placenta nourishes the fetus and removes its waste products in pregnancy. Fundamental to its function is the healthy development of an extensively branched tree-like structure known as the vascular tree. In pathological pregna...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
MOUSIE
Multi Organ UltraSound based Inborn Evaluation
183K€
Cerrado
MEASURE
Models of the maternal and fetal cardiovascular systems coup...
188K€
Cerrado
PlaEndo
The Remote Control of Maternal Metabolism by the Placenta
195K€
Cerrado
iPLACENTA
Innovation in modelling Placenta for Maternal and Fetal Heal...
4M€
Cerrado
Pregnolia
A simple reliable and safe diagnostic device for preterm bi...
71K€
Cerrado
Información proyecto InSilicoPlacenta
Duración del proyecto: 27 meses
Fecha Inicio: 2023-03-27
Fecha Fin: 2025-07-09
Líder del proyecto
UNIVERSITY OF CYPRUS
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
164K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The placenta nourishes the fetus and removes its waste products in pregnancy. Fundamental to its function is the healthy development of an extensively branched tree-like structure known as the vascular tree. In pathological pregnancies, abnormalities have been found in placental structure and function. Impaired uteroplacental blood flow can lead to pregnancy disorders such as fetal growth restriction (FGR), a condition in which the fetus does not grow physiologically. FGR has lifelong consequences for both fetus and mother, affecting 8-10% of pregnancies and contributing to 30% of stillbirths. The placenta is inaccessible to in vivo measurements due to technological and ethical constraints. Ultrasound is the most routinely used clinical imaging tool for screening the placenta; however, it is limited in spatial resolution. Placental function can be also assessed via Magnetic Resonance Imaging (MRI) which is safe during pregnancy; however, MRI models cannot measure blood flow changes in the placental vascular tree. Complementary to imaging, in silico models are increasingly used to probe complex cardiovascular problems. Attempts to model blood flow in the placental vasculature are based on oversimplified assumptions while being limited by the data they have been informed or validated against with. Here, an integrated hemodynamic model of the placental vasculature will be developed using novel ex vivo computed tomography data and computational fluid dynamics. This project will innovate by delivering a computer-based framework, InSilicoPlacenta, which will offer a comprehensive understanding of the structural and functional abnormalities with FGR. We will combine medical imaging with in silico models to infer placental tissue properties of the entire placental vasculature. The long-term impacts of the proposed framework are expected to change clinical diagnosis and management of high-risk pregnancies by reducing stillbirths and improving neonatal outcomes.