Cardiac Modeling: Aiming for Optimization of Therapy

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Universitat Politècnica de València

Karlsruhe Institute of Technology (KIT)

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Cardiac arrhythmias continue to be one of the main causes of morbidity and mortality. Drugs, electrical therapies and surgical/electrophysiological procedures are widely used to treat cardiac arrhythmias. However, the efficacy of these treatments is sometimes low.

In recent years, computational models of the electrical behavior of the heart have proved to be useful tools for improving our understanding of the biophysical principles of cardiac electrophysiology. As a result, these models are beginning to be used to improve cardiac arrhythmia treatment.
Advanced cardiac models have been developed, including a realistic geometry base on MRI or CT images, complex electrophysiology and fiber orientation. Methods for developing patient specific models are being developed and translated to the clinic.

In this Research Topic we would like to explore the potential of biophysically based models to become a clinical tool to aid in diagnosis and treatment. This Research Topic would welcome submissions related to: mechanisms underlying cardiac arrhythmias, cardiac resynchronization therapy, prediction of the efficacy and safety of drugs, radiofrequency ablation, surgery optimization and cardiac defibrillation.

Cardiac arrhythmias continue to be one of the main causes of morbidity and mortality. Drugs, electrical therapies and surgical/electrophysiological procedures are widely used to treat cardiac arrhythmias. However, the efficacy of these treatments is sometimes low.

In recent years, computational models of the electrical behavior of the heart have proved to be useful tools for improving our understanding of the biophysical principles of cardiac electrophysiology. As a result, these models are beginning to be used to improve cardiac arrhythmia treatment.
Advanced cardiac models have been developed, including a realistic geometry base on MRI or CT images, complex electrophysiology and fiber orientation. Methods for developing patient specific models are being developed and translated to the clinic.

In this Research Topic we would like to explore the potential of biophysically based models to become a clinical tool to aid in diagnosis and treatment. This Research Topic would welcome submissions related to: mechanisms underlying cardiac arrhythmias, cardiac resynchronization therapy, prediction of the efficacy and safety of drugs, radiofrequency ablation, surgery optimization and cardiac defibrillation.

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Universitat Politècnica de València

Karlsruhe Institute of Technology (KIT)

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Frontiers in Physiology

Computational Physiology and Medicine

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Frontiers in Bioengineering and Biotechnology

Computational Physiology and Medicine

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