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Design and strategy for the Cardionome Project
1Department of Bioengineering, University of Washington, Seattle 98195-7962, USA.
Advances in Experimental Medicine and Biology
|January 1, 1997
Summary
The Cardiome Project aims to quantitatively describe heart function by integrating anatomical and physiological data. This collaborative effort focuses on the organ level, building a comprehensive cardiac model for improved understanding.
Area of Science:
- Physiology
- Computational Biology
- Biomedical Engineering
Background:
- The Physiome Project seeks a comprehensive quantitative description of integrated organism functions.
- Developing such a large-scale project requires foundational databases for genomic, biochemical, anatomical, and physiological information.
- A focused initiative, the Cardiome Project, is proposed to describe the functioning heart.
Purpose of the Study:
- To establish a multicenter collaborative effort to describe the functioning heart at the organ level.
- To build an anatomically detailed cardiac model incorporating excitation-contraction spread.
- To augment the cardiac model with regional blood flow, metabolism, and energy dynamics.
Main Methods:
- Utilizing a central scheme based on the work of Hunter, Noble, and others for cardiac modeling.
- Integrating data on regional blood flows, substrate uptake, metabolism, and energy production/utilization.
- Employing a component-based assembly approach, minimizing and then augmenting linkages to refine the model.
Main Results:
- Development of a foundational cardiac model describing excitation and contraction spread.
- Inclusion of physiological parameters such as blood flow, metabolism, and ionic balance.
- Establishment of a framework for future integration of cellular regulation and intervention responses.
Conclusions:
- The Cardiome Project offers a pragmatic approach to understanding heart function through a detailed organ-level model.
- Collaborative efforts and integrated databases are crucial for advancing complex physiological research.
- The project provides a scalable framework for progressively enhancing the accuracy and scope of cardiac function description.