Computational bioengineering for heart disease
Аутори
Filipović, NenadExarchos, Themis
Jakovljević, Đorđe
Остала ауторства
Morić, IvanaĐorđević, Valentina
Конференцијски прилог (Објављена верзија)
,
© 2023 Institute of Molecular Genetics and Genetic Engineering, University of Belgrade
Метаподаци
Приказ свих података о документуАпстракт
In silico clinical trials are a new paradigm for development of a new drug and medical device.
SILICOFCM project is multiscale modeling of familial cardiomyopathy which considers
a comprehensive list of patient specific features as genetic, biological, pharmacologic,
clinical, imaging and cellular aspects.
The 3D deformable-body represents the left and right ventricle of the heart. Blood flow
is modeled during the filling phase by applying the fluid-solid interaction method. The
ventricle wall is modeled by 3D brick 8-node solid elements, with fibers that have threedimensional
direction. The Navier-Stokes equations are solved using the ALE formulation
for fluid with large displacements of the boundary. The ventricle wall model is simulated
by the muscle material model. Muscle fiber orientation is defined by direction vector in 3D
prescribed through input data. The outlet blood pressure is used as the boundary condition.
At the same time, the wall muscle fibers are activated ...according to the activation function
taken from specific patient measurements.
Computational Platform for Multiscale Modelling in biomedical engineering is results of
SGABU project that is served as an educational tool for students and researchers. The
platform integrates already developed solutions and various datasets related to cancer,
cardiovascular, bone disorders and tissue engineering into one multiscale platform. This
will enable further validation and parameterization of models, creation of environment for
future trends, e.g. in silico clinical trials, virtual surgery, development of prediction models.
InSilc project is devoted to in silico mechanical stent testing within ISO 25539 standards
and in silico stent deployment for metallic and biodegradable material.
In-silico projects will connect basic experimental research with clinical study and
bioinformatics, data mining and image processing tools using very advanced computer
models for drug, stent and patient database in order to reduce animal and clinical studies.
Кључне речи:
bioinformatics / in silico clinical trials / data mining / cardiovascular diseaseИзвор:
4th Belgrade Bioinformatics Conference, 2023, 4, 17-17Издавач:
- Belgrade : Institute of molecular genetics and genetic engineering
Финансирање / пројекти:
- This paper is supported by the projects that have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952603 (SGABU project). This paper reflects only the author’s view. The Commission is not responsible for any use that may be made of the information it contains.
Напомена:
- Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 2023
Колекције
Институција/група
Institut za molekularnu genetiku i genetičko inženjerstvoTY - CONF AU - Filipović, Nenad AU - Exarchos, Themis AU - Jakovljević, Đorđe PY - 2023 UR - https://imagine.imgge.bg.ac.rs/handle/123456789/1952 AB - In silico clinical trials are a new paradigm for development of a new drug and medical device. SILICOFCM project is multiscale modeling of familial cardiomyopathy which considers a comprehensive list of patient specific features as genetic, biological, pharmacologic, clinical, imaging and cellular aspects. The 3D deformable-body represents the left and right ventricle of the heart. Blood flow is modeled during the filling phase by applying the fluid-solid interaction method. The ventricle wall is modeled by 3D brick 8-node solid elements, with fibers that have threedimensional direction. The Navier-Stokes equations are solved using the ALE formulation for fluid with large displacements of the boundary. The ventricle wall model is simulated by the muscle material model. Muscle fiber orientation is defined by direction vector in 3D prescribed through input data. The outlet blood pressure is used as the boundary condition. At the same time, the wall muscle fibers are activated according to the activation function taken from specific patient measurements. Computational Platform for Multiscale Modelling in biomedical engineering is results of SGABU project that is served as an educational tool for students and researchers. The platform integrates already developed solutions and various datasets related to cancer, cardiovascular, bone disorders and tissue engineering into one multiscale platform. This will enable further validation and parameterization of models, creation of environment for future trends, e.g. in silico clinical trials, virtual surgery, development of prediction models. InSilc project is devoted to in silico mechanical stent testing within ISO 25539 standards and in silico stent deployment for metallic and biodegradable material. In-silico projects will connect basic experimental research with clinical study and bioinformatics, data mining and image processing tools using very advanced computer models for drug, stent and patient database in order to reduce animal and clinical studies. PB - Belgrade : Institute of molecular genetics and genetic engineering C3 - 4th Belgrade Bioinformatics Conference T1 - Computational bioengineering for heart disease EP - 17 SP - 17 VL - 4 UR - https://hdl.handle.net/21.15107/rcub_imagine_1952 ER -
@conference{ author = "Filipović, Nenad and Exarchos, Themis and Jakovljević, Đorđe", year = "2023", abstract = "In silico clinical trials are a new paradigm for development of a new drug and medical device. SILICOFCM project is multiscale modeling of familial cardiomyopathy which considers a comprehensive list of patient specific features as genetic, biological, pharmacologic, clinical, imaging and cellular aspects. The 3D deformable-body represents the left and right ventricle of the heart. Blood flow is modeled during the filling phase by applying the fluid-solid interaction method. The ventricle wall is modeled by 3D brick 8-node solid elements, with fibers that have threedimensional direction. The Navier-Stokes equations are solved using the ALE formulation for fluid with large displacements of the boundary. The ventricle wall model is simulated by the muscle material model. Muscle fiber orientation is defined by direction vector in 3D prescribed through input data. The outlet blood pressure is used as the boundary condition. At the same time, the wall muscle fibers are activated according to the activation function taken from specific patient measurements. Computational Platform for Multiscale Modelling in biomedical engineering is results of SGABU project that is served as an educational tool for students and researchers. The platform integrates already developed solutions and various datasets related to cancer, cardiovascular, bone disorders and tissue engineering into one multiscale platform. This will enable further validation and parameterization of models, creation of environment for future trends, e.g. in silico clinical trials, virtual surgery, development of prediction models. InSilc project is devoted to in silico mechanical stent testing within ISO 25539 standards and in silico stent deployment for metallic and biodegradable material. In-silico projects will connect basic experimental research with clinical study and bioinformatics, data mining and image processing tools using very advanced computer models for drug, stent and patient database in order to reduce animal and clinical studies.", publisher = "Belgrade : Institute of molecular genetics and genetic engineering", journal = "4th Belgrade Bioinformatics Conference", title = "Computational bioengineering for heart disease", pages = "17-17", volume = "4", url = "https://hdl.handle.net/21.15107/rcub_imagine_1952" }
Filipović, N., Exarchos, T.,& Jakovljević, Đ.. (2023). Computational bioengineering for heart disease. in 4th Belgrade Bioinformatics Conference Belgrade : Institute of molecular genetics and genetic engineering., 4, 17-17. https://hdl.handle.net/21.15107/rcub_imagine_1952
Filipović N, Exarchos T, Jakovljević Đ. Computational bioengineering for heart disease. in 4th Belgrade Bioinformatics Conference. 2023;4:17-17. https://hdl.handle.net/21.15107/rcub_imagine_1952 .
Filipović, Nenad, Exarchos, Themis, Jakovljević, Đorđe, "Computational bioengineering for heart disease" in 4th Belgrade Bioinformatics Conference, 4 (2023):17-17, https://hdl.handle.net/21.15107/rcub_imagine_1952 .