Roles
Associate Professor of Clinical
Chief of Cardiology, Miami VA Healthcare System
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Biography
Dr. George R. Marzouka is a board-certified cardiologist and Associate Professor of Medicine at the University of Miami, serving as Chief of the Cardiovascular Section at the Miami VA Healthcare System. A lifelong Floridian, Dr. Marzouka completed his undergraduate and medical education at the University of Miami before pursuing residency and fellowship training at Jackson Memorial Hospital, the University of Miami, and the Miami VA. His passion for cardiology is deeply rooted in both his clinical work and his dedication to advancing cardiovascular research and innovation.
Dr. Marzouka specializes in heart failure, atrial fibrillation, prevention, and cardiovascular risk stratification, with a strong emphasis on leveraging advanced imaging, predictive analytics, and artificial intelligence to enhance patient care. His research has been instrumental in refining cardiovascular risk assessment models, and he is currently leading a study investigating the impact of diet—particularly ultra-processed foods—on cardiovascular disease. By integrating AI-driven models with clinical and molecular data, he aims to develop more precise risk assessment tools and innovative prevention strategies that will shape the future of cardiovascular medicine. -
Education & Training
Education
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Teaching Interests
Beyond his clinical and research work, Dr. Marzouka is a dedicated mentor, training the next generation of cardiologists while championing initiatives to enhance cardiac care for veterans. As the VISN 8 Cardiology Subspecialty Lead and Chair of the Miami VA Artificial Intelligence Oversight Committee, he plays a pivotal role in shaping cardiovascular care across Florida, South Georgia, and Puerto Rico. He is also an active member of the National Cardiology Field Advisory Board and National Nuclear Cardiology Field Advisory Committee, helping to guide national VA policy on cardiovascular health. -
Research Interests
Research interests focus on advancing cardiovascular risk prediction through the integration of clinical data, artificial intelligence, and molecular biomarkers. His work explores how dietary patterns, particularly the consumption of ultra-processed foods (UPFs), contribute to cardiovascular disease (CVD) through novel mechanisms such as extracellular vesicle-associated microRNAs (EV-miRs). By leveraging large-scale data analysis and AI-driven predictive models, he aims to refine cardiovascular risk assessment tools and identify early biomarkers for disease prevention. -
Publications
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