Posts by Collection


Using machine learning to characterize heart failure across the scales

Published in Biomechanics and Modeling in Mechanobiology, 2019

Heart failure is a progressive chronic condition in which the heart undergoes detrimental changes in structure and function across multiple scales in time and space. Multiscale models of cardiac growth can provide a patient-specific window into the progression of heart failure and guide personalized treatment planning. Yet, the predictive potential of cardiac growth models remains poorly understood. Read more

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Modeling the outbreak dynamics of COVID-19, the effect of travel restrictions, asymptomatic transmission, and campus reopening

Published in Computer Methods in Applied Mechanics and Engineering, Computational Mechanics, Biomechanics and Modeling in Mechanobiology, Computer Methods in Biomechanics and Biomedical Engineering, Archives of Computational Methods in Engineering, 2020

On March 11, 2020, the World Health Organization declared the coronavirus disease 2019, COVID-19, a global pandemic. In an unprecedented collective effort, massive amounts of data are now being collected worldwide to estimate the immediate and long-term impact of this pandemic on the health system and the global economy. Read more

Precision medicine in human heart modeling.

Published in Biomechanics and Modeling in Mechanobiology, 2021

We have come to a point where computational heart modeling really starts to benefit the patient, for improved diagnosis, prognosis, treatment planning, and medical device design. Read more

Sex Differences in Drug-Induced Arrhythmogenesis

Published in Frontiers in Physiology, 2021

The electrical activity in the heart varies significantly between men and women and results in a sex-specific response to drugs. Here we integrate multiscale modeling and machine learning to gain mechanistic insight into the sex-specific origin of drug-induced cardiac arrhythmia at differing drug concentrations. Read more

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Growth and remodeling in the pulmonary autograft: computational evaluation using kinematic growth models and constrained mixture theory

Published in International Journal for Numerical Methods in Biomedical Engineering, 2021

Computational investigations of how soft tissues grow and remodel are gaining more and more interest and several growth and remodeling theories have been developed. We investigated the kinematic-based growth theory and the constrained mixture theory within the realms of pulmonary root adaptation during the Ross procedure. Read more

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