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multiphysics of the heart

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Heart disease is the leading cause of death in developed countries, claiming more than 16 million lives worldwide each year. We thrive to provide an in-depth understanding of cardiac physiology and improve treatment strategies for heart disease by integrating multiscale modeling and machine learning. In partnership with the Living Heart Project, we study the living heart, from the molecular scale, via the cellular and tissue scales, to the whole organ scale. Across all scales, we model, simulate, and predict the biochemical, electrical, and mechanical behavior of the heart under physiological and pathological conditions: In drug safety evaluation, we study the effect of drugs on the electrical and mechanical behavior of the heart; in heart failure, we translate the molecular mechanisms of sarcomerogenesis into hypertrophic and dilated cardiomyopathy; in mitral regurgitation, we characterize the effects of different biomedical devices;and in a general performance analysis, we identify critical differences between male and female hearts. Our ultimate goal is to use personalized human heart models is to prevent, diagnose, and treat cardiovascular disease.

precision medicine in human heart modeling

with a view towards precision medicine, we integrate human heart electrophysiology, solid mechanics, and fluid dynamics and explore clinical applications in drug development, pacing lead failure, heart failure, ventricular assist devices, and mitral valve repair

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sex matters!

we integrate multiscale modeling and machine learning to gain mechanistic insight into the sex-specific origin of drug-induced cardiac arrhythmias and show that sex differences in ion channel activity, tissue conductivity, and heart dimensions put females at higher arrhythmogenic risk than males

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drug safety evaluation

drugs can have serious side effects and cause cardiac arrhythmias. to stratify the risk of new and existing drugs, we use machine learning and integrate knowledge across ten orders of magnitude in space and time to provide a holistic picture of the effect of drugs on the molecular, cellular, and organ scales

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understanding the failing heart

we design, calibrate, and validate a new generation of multiscale cardiac growth models to explore the interplay of molecular-, cellular-, and organ-level contributors to heart failure. we integrate a longitudinal heart failure study, subject-specifc multiscale simulations, and machine learning to show that changes in sarcomere number alone explain 54% of cardiac dilation

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