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In Silico Clinical Trials for Cardiovascular Disease
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Cardiac computational modelling.

Jean R Bragard1, Oscar Camara2, Blas Echebarria3

  • 1Grupo de Biofísica (BIOFIS), Departamento de Física y Matemática Aplicada, Universidad de Navarra, Pamplona, Navarra, Spain.

Revista Espanola De Cardiologia (English Ed.)
|August 19, 2020
PubMed
Summary
This summary is machine-generated.

Personalized computational models of the heart aid in understanding cardiovascular diseases and optimizing patient treatment. The VHeart-SN network aims to create an integrated, multiscale cardiac model for improved cardiac care.

Keywords:
Cardiac modelsCardiovascular modelsModelos cardiacosModelos cardiovascularesModelos específicos de pacienteModelos multiescalaMultiscale modellingPatient-specific models

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Area of Science:

  • Cardiovascular Research
  • Computational Biology
  • Medical Modeling

Background:

  • Cardiovascular diseases (CVDs) pose significant social and economic burdens, being leading causes of death and illness.
  • Personalized computational heart models offer valuable insights into cardiac disease mechanisms and treatment optimization.
  • The Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been established to advance this field.

Purpose of the Study:

  • To develop an integrated, modular, multiscale, and multiphysical computational model of the heart.
  • To advance understanding of cardiac and vascular disease mechanisms.
  • To support the application of personalized therapies for cardiovascular conditions.

Main Methods:

  • Integration of diverse numerical methods and patient-specific models.
  • Multiscale and multiphysical modeling approaches.
  • Collaborative research within the VHeart-SN network.

Main Results:

  • The article outlines the current state of cardiac computational modeling.
  • It details scientific contributions from VHeart-SN members.
  • It highlights the utility and characteristics of these advanced models.

Conclusions:

  • Cardiac computational modeling is crucial for understanding and treating cardiovascular diseases.
  • The VHeart-SN network is developing a comprehensive cardiac model.
  • These models promise to enhance personalized medicine and patient outcomes in cardiology.