Date & Time: March 1, 2024, at 3:00 pm – 5:00pm EDT
Description: Join us for the seventh webinar in our Digital Twin (DT) series, exploring the transformative potential of Artificial Intelligence (AI) in Public Health and Healthcare. DT offers a groundbreaking approach to replicating and analyzing real-world healthcare systems, leveraging AI to fuse diverse data sources and simulate the current state of physical counterparts. In this webinar, we are thrilled to feature keynote speeches by renowned experts in the relevant fields, and our distinguished panelists, including industry leaders and researchers, will further explore the applications and challenges of Digital Twins in healthcare. Don’t miss this opportunity to gain valuable insights into the future of AI-driven DTs in transforming public health and healthcare delivery.
Registration: https://gmu.zoom.us/meeting/register/tJcudO-spjwsHN0xj_gTobxVL-tkXyfkGtSP
Moderated by: Dr. Yanfang Su, Ph.D. School of Public Health, University of Washington
| Weekday, March 1st, 2024 | |||||
| Begin | End | Agenda | Content | ||
| 3:00 PM | 4:10 PM | Keynote & QA, A different kind of digital twin: future directions in population modeling for health policy analysis Dr. David Watkins, MD, MPH, Global Health | Internal Medicine, University of Washington — Keynote & QA, Acute Myeloid Leukemia digital twin, Dr. Ilya Shmulevich, Ph.D. Institute of System Biology (ISB) | Welcome Notes Recording Presentation | ||
| 4:10 PM | 4:30 PM | Panelist: Shane Liu, Chief Technologist Booz Allen Hamilton — Panelist: Lingchao Mao, Ph.D. candidate, Georgia Institute of Technology | Notes Recording | ||
| 4:30 PM | 5:00 PM | Q & A | |||
Co-hosted by the Seattle Chinese Biology Association (SCBA)
