and clinical measurements is another unique strength of computational biology. We describe examples of all three categories of integration by using recent advances in modeling cardiac excitation-contraction coupling and whole-heart electromechanics in health and disease. [ A characteristic advantage of the use of computational tools in biomedical science is the ability to integrate scientific information. There are at least three distinct but interrelated ways in which computation in biology is integrative. Perhaps the most familiar is data integration: the use of information technologies such as databases, Web services, data management, and analysis tools to archive, federate, search, query, match, and integrate biological data from diverse sources from genomic and proteomic, metabolic, and structural to physiological and clinical data. This is the realm of bioinformatics. Mathematical and statistical modeling provide the foundation for computational tools that facilitate functional integration: Systems models of biological processes can compute functional consequences of interactions between individual components of cellular biochemical networks, or between functional subsystems within the cell, between different cells and cell types within tissues, or between organs and organ systems within the whole body. Functionally integrated modeling is the domain of systems biology and systems physiology.Structurally integrated numerical models use physicochemical first principles and detailed representations of three-dimensional biological structures to predict the functions of proteins, cells, tissues, or organs. This field is now often referred to as multiscale computational biology. Whereas bioinformatics and systems biology are data limited, structurally integrated computational biology tends more often to be compute limited.Cardiac physiology is one biomedical application where functionally and structurally integrated computational modeling has made significant contributions. As data accumulate on the molecular and cellular mechanisms underlying cardiac physiology and pathophysiology and as computational power continues to increase, the potential for increasingly sophisticated and predictive mechanistic models of the normal and diseased heart is growing rapidly. Figure 1 shows a scheme for a functionally and structurally integrated computational model of the heart and circulation that has been developed as a result of two multiinstitution collaborative research projects: the Integrated Human Function project, supported by