Area of Study / Keywords

AI in Medicine Machine Learning Computational Psychiatry Schizophrenia ECG based prediction models

About

Sunil Vasu Kalmady

My professional goal is to advance the options for personalized treatment of complex medical disorders via application of machine learning and data science. As AI/ML subject matter lead at Canadian VIGOUR Center, my team focuses on developing learning tools to predict prognostic outcomes in cardiovascular diseases using electronic medical records, electrocardiograms and echocardiograms at the population scale. Previously, I have developed successful AI methods to identify and predict specific symptom clusters and treatment responses in psychiatric disorders such as Schizophrenia and OCD using multimodal imaging, which have been published in distinguished journals such as Nature Schizophrenia and featured in several news reports.

Research

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PubMed