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Current Research of Dr. Philippe Sucosky

Dr. Sucosky conducts his research in the Multi-Scale Cardiovascular Bioengineering Laboratory (MSCBL) hosted in the Multidisciplinary Research Building. The research conducted in the MSCBL aims at elucidating the complex relations between cardiovascular tissue biology and the surrounding hemodynamic environment, at the gene, cell and tissue levels. The knowledge of such relations will guide the development of early medical interventions for the treatment of degenerative and congenital cardiovascular disorders.

Multi-Scale Cardiovascular Mechanobiology

Heart valve disease is a serious condition that affects a significant percentage of the population both in the U.S and worldwide. Tremendous progress has been achieved during the last century on the development and improvement of prosthetic valves. Although a complete valve replacement can restore, at least partially, valve function, it raises many concerns such as the need for surgery, life-long anticoagulation drug prescription, and the regular monitoring of the prosthesis performance. The development of a drug-based therapy would constitute an alternative of choice by relaxing most of the requirements associated with the implantation of a prosthetic valve. The success of such approach relies heavily on the understanding of native and diseased valve biology which, unfortunately, remains limited. This project aims at elucidating the interactions between the blood flow and heart valve tissue to better understand cardiovascular disease initiation and progression.

Fluid-Based Multi-Scale Modeling of Cardiovascular Tissue Remodeling and Disease Progression

The hemodynamic environment surrounding cardiovascular structures is generally complex and is characterized by three-dimensionality, heterogeneity and a wide range of Reynolds numbers. Cardiovascular structures are also characterized by complex motions and deformations that make flow prediction even more challenging. This project aims at characterizing the flow produced in various cardiovascular structures experimentally and computationally. Combining the knowledge of the flow and that of its mechanobiological interactions with cells and tissue will result in the development of multi-scale computational tools capable of predicting patient-specific cardiovascular tissue remodeling and disease progression in response to given hemodynamic conditions.