Dr. Kalafut advises innovators, vendors and investors in Artificial Intelligence and Machine Learning in healthcare. Offering market insights, product development guidance, solution architecture and healthcare digital transformation, scientific and clinical development support. He is the principal inventor or co-inventor on 38 US patents and ~15 pending applications. Many of his inventions are used in practice around the world, across nuclear medicine and radiological agent delivery, diagnostic and interventional cardiology devices, and patient monitoring systems. Before founding AOG, John was Chief Scientist of Informatics Research at GE Healthcare. His stewardship of an AI-enabled, diagnostic pathway solution led to their first Breakthrough Designation by the US Food and Drug Administration. He led architecture of learning platforms and applications co-created by GE Healthcare and its clinical partners at world-renowned academic health systems, including Mass General Brigham Healthcare and Boston Children’s Hospital. John was instrumental in the founding of the UK’s National Consortium of Intelligent Medical Imaging (NCIMI) and was a co-Principal Investigator on Digital Pathology and Diagnostic (DART). Prior to GE, he held various development, research and innovation roles across medical device and pharmaceutical organizations. John received a PhD in Electrical/Bioengineering from the University of Pittsburgh, a Master of Engineering in Bioengineering and Computational Neuroscience from the University of Pittsburgh, and a Bachelor’s in Physics and Electrical Engineering from the University of Scranton.
Machine learning and other AI techniques have great potential for advancing discovery and realization of precision medicine. Because of the distributed and personalized nature of precision medicine, issues related to data aggregation, proper curation and privacy-preservation are amplified. This talk will address these unique problems and means of addressing them.