Dr. Ambale-Venkatesh has been involved in image processing, machine learning, cardiovascular imaging and epidemiology research since 2004. His current research aims to help clinicians improve patient care by identifying new imaging markers to predict cardiovascular outcomes and assess the success of therapeutic interventions, and evaluating the pathophysiological mechanisms of cardiac diseases. He has been leading aspects of protocol development, data acquisition, image post-processing, imaging data curation and indexing, statistical analysis and conduction of multi-center trials as a co-investigator in the magnetic resonance imaging (MRI) and echocardiography core labs for National Institutes of Health (NIH)-sponsored large population-based studies. He has also taken the lead in designing and developing protocols for assessment of novel MRI-derived biomarkers of stem-cell therapy in those with peripheral arterial disease and myocardial infarction. Specifically, his research includes:
Development of novel techniques for image analysis, data modeling, and image acquisition.
Predicting adverse outcomes using machine learning in large multi-ethnic populations to generate preventive public health strategies.
Using a combination of deep learning and advanced phenotyping to extract information from images and statistical machine learning to provide clinical insight.