Date & Time: August 05, 2021, 03:00 PM

Location: Online

Recording Available

Abstract

Indiana University, Bloomington The goal of the paper is to define the domain of medical digital twins as well as the major benefits, opportunities, and challenges. There are a range of understandings, definitions, and applications. In our VP WG seminars, there is no consensus of what a "Digital Twin" is. Is it a giant computing infrastructure that will cost billions to develop? Or can usable examples be developed on a much smaller financial scale? Is it AI based, or mechanism based? How does it relate to "Personalized Medicine"? What data is readily available and what data will require technological development to measure? How is data shared and communicated? Where is data stored? How is the data converted into actionable insights in patient care? Here we attempt to enumerate the domains and range for Medical Digital Twins, outline the challenges, opportunities and benefits and provide a definition of the components. If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/

Recording