Key result
Biophysical computational models enable effective integration of large biological datasets across cardiac physiology.
Why the study?
Technical breakthroughs in experimental physiology and advances in computing have enabled integration of large biological data sets through computational models, necessitating a synthesis of these developments.
Key points are not available for this paper at this time.
Design
Review article
May guide computational cardiac research; leaves open clinical validation before adoption.
Over the last two decades, technical breakthroughs in experimental physiology have paved the way for an explosion in the quality and quantity of data available for analysis. These developments have underpinned many of the postgenomic era’s advances, through the collection of individual data sets frommany species, including humans. In parallelwith these experimental developments, advances in computing and numerical techniques have accelerated our capacity to handle large volumes of data, making possible the integration of these data sets through the application of biophysically based, computational models.
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Smith et al. (2009) reported a review. Advances in experimental physiology and computing have enabled the integration of large biological data sets through biophysically based computational models.
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