Multi-scale Modeling and Viral Pandemics (8/5/2021)

Contributors
James Sluka, Intelligent Systems Engineering and Biocomplexity Institute, Indiana University. Title: Discussion of proposed manuscript form the VPWG “A Practical Approach to Digital Twins in Medicine”.
Institution/ Affiliation
James Sluka, Intelligent Systems Engineering and Biocomplexity Institute, Indiana University.
Presentation Details (date, conference, etc.)

August 5, 2021, IMAG/MSM WG on Multiscale Modeling and Viral Pandemics

  • James Sluka, Intelligent Systems Engineering and Biocomplexity Institute,Indiana University. Title: Discussion of proposed manuscript form the VPWG “A Practical Approach to Digital Twins in Medicine”. Abstract: 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. YouTube and Slides.