Session Abstract – PMWC 2022 Silicon Valley

 Session Chair Profile

Ph.D., Founder & Principal, Asher Orion Group

Biography
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.


 Session Chair Profile

Ph.D., Professor and Vice Chair, UCSF

Biography
Sharmila Majumdar, Ph.D., obtained her Ph.D. degree from Yale University in Engineering and Applied Sciences. After a short stay at Yale she joined UCSF as an Assistant Professor in 1989. Her research on machine and deep learning has a focus on imaging; prior work has focused on imaging technology development and translational, development of image processing, computer vision has been focused in the areas of osteoporosis, osteoarthritis, and lower back pain. She is the Executive and Scientific Director of the Center for Intelligent Imaging at UCSF. She was selected as a fellow of the American Institute of Medical and Biological Engineers in 2004, a fellow of the International Society of Magnetic Resonance in Medicine (ISMRM) in 2008, and awarded the ISMRM Gold medal in 2016. She is an active participant in the PMWC meetings. Her work over the last three decades has been extensively supported by the NIH and industry.


 Speaker Profile

Ph.D., CEO, Theiagen Genomics

Biography
Dr. Sevinsky has leveraged over two decades of experience in systems biology and taken aim at transforming public health and infectious disease surveillance through innovative implementation of NGS and bioinformatics technologies. During a three year tenure at the Colorado Department of Public Health and Environment, he led several initiatives to build NGS testing and bioinformatics capacity at the state, regional and national levels. In 2019 Dr. Sevinsky’s ambitions to impact public health exceeded his role as a government scientist, resulting in the formation of Theiagen Genomics. Dr. Sevinsky and his team now work with over four dozen public health laboratories nationally, and more than a dozen internationally in Africa and Asia. Prior to his time in public health, Dr. Sevinsky held several positions in non-profit and industry, working in applied technologies for diverse applications such as biomarker identification and biofuel/biochemical production.


 Speaker Profile

M.D., Cofounder and CEO, Rhino Health

Biography
Dr. Dayan is transforming the way healthcare AI solutions are created, adopted and measured. The Rhino Health Platform provides access to a large, distributed dataset from a diverse group of patients, powering models that deliver consistent results and, ultimately, improve health outcomes for large populations of patients. Drawing on his background as a clinician and researcher, Ittai is passionate about creating equitable access to advanced AI-based diagnostics and treatment pathways. He led the EXAM study, published in Nature Medicine, which is the world’s largest study to-date utilizing federated learning (FL) to train a healthcare AI solution on diverse data across institutions. Previously, Ittai served as an Executive Director at Mass General Brigham, where he led the Center for Clinical Data Science (CCDS). Ittai has studied at the Johns Hopkins Bloomberg School of Public Health. He earned his MD and his Bachelors of Science from The Hebrew University of Jerusalem.

Talk
Accelerating Healthcare AI with Federated Learning
Researchers worldwide are utilizing a new approach to collaborative creation of AI models: federated learning (FL). No moving or replicating data. Always protect privacy. Ultimately, this will bring to market new AI-based solutions that improve outcomes for increasingly diverse patient populations. Learn about FL and the future of precision medicine.


 Speaker Profile

Eng, M.B.A., Senior Leader, Enterprise Data & Analytics, Anthem Digital

Biography
Rajan Wadhwa is a senior leader in the Enterprise Data & Analytics group in Anthem Digital. He is accountable for Analytics in the Cost of Care, Clinical, Whole Person Profile as well as Product space. He is also responsible for Clinical Rules Engine, an application that creates Clinical intelligence used in Care Management, Disease Management and Patient Safety applications across Anthem. Rajan brings a broad and deep experience in Data and Analytics with over 22 years of experience. In his previous roles, he led Data and Analytics for Sales and Marketing group in a Financial Services company, led large Data and Analytics technology implementation in High Tech, Automotive, Real Estate and Telecom industries.