An official website of the United States governmentHarnessing AI To Explore Health Restoration in Diabetes
Speaker: Aaron Y. Lee, M.D., M.S.C.I.
Associate Professor
Department of Ophthalmology
C. Dan and Irene Hunter Endowed Professorship
University of Washington School of Medicine
Seattle, Washington
Date: July 29, 2024 - 1:30 p.m. ET to 2:45 p.m. ET
Virtual; Registration is not required
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Event Description
One of the promising areas in medical research is the use of artificial intelligence (AI) and machine learning (ML) to analyze large sets of data in order to gain better understanding of the development of disease (pathogenesis) and the restoration of health (salutogenesis). Dr. Aaron Lee is a principal investigator on an exciting data generation project funded through the National Institutes of Health (NIH) Common Fund’s “Bridge to Artificial Intelligence” (Bridge2AI) program. Bridge2AI seeks to create flagship, ethically sourced datasets, as well as best practice guidelines, to help researchers utilize AI/ML methods to address biomedical and behavioral research grand challenges. Dr. Lee’s project, AI-READI, is generating multimodal (i.e., combining various types/contexts of data), high-quality, and ethically sourced data that will be ready for AI/ML methods to study salutogenesis in the context of type 2 diabetes. The study is recruiting participants representing the diverse U.S. population and the spectrum from normal health to severely diabetic. In addition to describing the AI-READI study, Dr. Lee 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 ophthalmology.
Biosketch
Aaron Y. Lee, M.D., M.S.C.I., is an associate professor of ophthalmology, a vitreoretinal surgeon, and the C. Dan and Irene Hunter Endowed Professor at the University of Washington, in Seattle, Washington.
Dr. Lee is recognized as a leader in the field of artificial intelligence and ophthalmology. His research is focused on the translation of novel computation techniques in machine learning to uncover new disease associations and mechanisms from routine clinical data, including electronic health records and imaging.
He received his Doctor of Medicine and Master of Science in Clinical Investigation degrees from Washington University School of Medicine, St. Louis, Missouri, and completed postdoctoral training at Washington University, Moorfields Eye Hospital, and the University of British Columbia.
Dr. Lee is the chair of the American Academy of Ophthalmology’s (AAO) Steering Committee on Informational Technology. Among his awards are the Young Investigators Award from the American Society of Retina Specialists and the Achievement Award and Young Clinician Scientist Award from the AAO.
Dr. Lee is principal investigator or co-principal investigator on multiple studies funded by the National Institutes of Health (NIH), industry, and foundations. The NIH components funding his work include the NIH Common Fund and the National Eye Institute.
How To View the Event
This event will be streamed live at https://videocast.nih.gov/watch=54899.
About the Series
The lecture is part of NCCIH’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. To find out more, visit nccih.nih.gov/news/events/imlectures.
Reasonable Accommodation
This event will be presented with real-time captioning. If you are an individual with a disability who needs reasonable accommodations to participate in this event, please contact the NCCIH Clearinghouse at info@nccih.nih.gov or 1-888-644-6226 by Monday, July 22, 2024.