One promising area in medical research is the use of artificial intelligence (AI) and machine learning (ML) to analyze large sets of data to gain better understanding of the development of disease (pathogenesis) and the restoration of health (salutogenesis). In a virtual lecture to be held on Monday, July 29, from 1:30 to 2:45 p.m. ET, Dr. Aaron Y. Lee of the University of Washington School of Medicine will discuss an exciting project he is leading to generate multimodal, high-quality, ethically sourced data that will be ready for AI/ML methods to study salutogenesis in the context of type 2 diabetes. He will also discuss researching the health of the whole person, not just separate organs or body systems, and provide examples of AI/ML advances from the field of ophthalmology. We hope you can join us for Dr. Lee's lecture. It's free and open to everyone, and you don't need to register. This talk is part of the National Center for Complementary and Integrative Health's Integrative Medicine Research Lecture Series, which provides overviews of the current state of research and practice involving complementary health approaches and explores perspectives on integrative health. | 
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