Integrative computational and biofluid models, combined with advanced imaging, offer promising tools for personalized cardiovascular diagnosis, risk assessment, and device optimization.
Supports integration of biofluid modeling into clinical cardiovascular workflows; extends evidence for personalized risk assessment and device optimization.
Biofluid mechanics is increasingly applied in support of diagnosis and decision-making for treatment of clinical pathologies. Exploring the relationship between blood flow phenomena and pathophysiological observations is enhanced by continuing advances in the imaging modalities, measurement techniques, and capabilities of computational models. When combined with underlying physiological models, a powerful set of tools becomes available to address unmet clinical needs, predominantly in the direction of enhanced diagnosis, as well as assessment and prediction of treatment outcomes. This position paper presents an overview of current approaches and future developments along this theme that were discussed at the 5th International Biofluid Symposium and Workshop held at the California Institute of Technology in 2008. The introduction of novel mechanical biomarkers in device design and optimization, and applications in the characterization of more specific and focal conditions such as aneurysms, are at the center of attention. Further advances in integrative modeling, incorporating multiscale and multiphysics techniques are also discussed.
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Siebes et al. (2010) conducted a review in Cardiovascular diseases. Biofluid mechanics and computational modeling was evaluated. Biofluid mechanics and computational modeling provide powerful tools for enhancing diagnosis, risk assessment, and treatment prediction in cardiovascular diseases.
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