Bioinformatics – Edelman Lab

Our Bioinformatics and computational cardiology subgroup is dedicated to advancing the field of medicine, and cardiovascular science in particular, through the integration of cutting-edge computational modeling techniques and state-of-the-art machine learning and bioinformatics suites to provide mechanistic understanding of pathologies and design/evaluation of emerging medical devices. Our team’s expertise in the segmentation, co-registration, and characterization of cardiovascular morphology enables us to create personalized 3D models of vascular beds and organs, which can be used to simulate and analyze the mechanical interactions between medical devices and cardiovascular anatomy. Our patient-specific models allow us to provide clinical insight by predicting clinical events and optimizing therapy for individual patients developing morphology-based heuristics for risk stratification. By translating our computational models and bioinformatics tools to clinical practice, using machine

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• Ahash Ganeshamoorthy