Beyond the Surface: Unveiling Cardiometabolic Pathophysiology through Advanced Imaging and Biomarker Discovery

My research leverages advanced, non-invasive imaging techniques, particularly MRI and quantitative tissue phenotyping, to uncover hidden myocardial changes and disease mechanisms that are often undetectable through conventional methods. The “Beyond the Surface” project utilizes cutting-edge imaging tools—such as ultrahigh-field 7T human scanners and preclinical 9.4T systems—enabling “virtual biopsies” that detect subtle alterations in cardiac and other tissues. This multidisciplinary approach integrates MRI, AI-enhanced analysis, metabolomics, and advanced optical imaging to decode complex metabolic patterns and mitochondrial health, offering insights into the development and etiology of chronic cardiometabolic diseases.

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Advanced Electrophysiological Modelling for Non-Invasive Neurostimulation in Humans

This talk will explore electric field computations using anatomical human head models and the advanced optimization of stimulation parameters, enabling precise control over the focality and direction of the electric field. We will also discuss current trends in extending electric field analysis to include temporal effects through the integration of biophysical dynamic neural modeling.

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