Virtual Imaging Trials in Medicine – International Summit

Virtual Imaging Trials in Medicine

April 21 – 23, 2024
Duke University, Durham, NC

Synopsis

Hosted at Duke University, this summit will gather leading experts, researchers, and practitioners in medical imaging and therapy using in silico virtual trials and digital twins in medicine. The complexity and diversity of medical technologies and applications have continued to accelerate, outpacing our ability to optimize their design and use.  This has become a significant challenge across the spectra of scientific inquires, product designs, and clinical applications. The evaluation of new innovations would ideally be achieved through clinical trials. However, such trials are often not feasible or even definitive due to ethical limitations, expense, time-requirements, difficulty in accruing enough subjects, or the fundamental lack of ground truth. In silico or Virtual Trials (VT) provide an alternative approach to assess the impact of such innovations on patient care. They offer a new truth-based approach to conduct medical trials that can be made to be clinically relevant, timely, and accurate while reflecting the variabilities of human bodies and complexities of technologies, providing answers that would otherwise be impractical or unattainable. A VT consists of 1) realistic populations of computational patients spanning ages, sexes, and races, 2) detailed models of clinical technologies or applications, and 3) computational representations of the outcome assessment. 

Envisioned as the first in a series, the objective of this Summit is to consolidate the latest developments, summarize the current status, and envision the future prospects of in silico virtual trials and digital twins in medicine. A two and a half – day event will include plenary speakers, proffered presentations, and perspectives from the industry, regulatory bodies, and funding agencies. The event is meant to serve as a forum to discuss methods, opportunities, challenges, limits, and future direction of virtual trials in medicine.

Prospective Summit Directors

  • Aldo Badano, FDA
  • Predrag Bakic, Lund University, Sweden
  • Kristina Bliznakova, Bulgaria
  • Hilde Bosmans, KU Leuven, Belgium
  • Ann-Katherine Carton, GE, France
  • Alex Frangi, University of Leeds, UK
  • Doris Fuertinger, Fresenius Medical Care, Germany
  • Stephen Glick, FDA
  • Paul Kinahan, University of Washington
  • Andrew Maidment, University of Pennsylvania
  • Ehsan Samei, CVIT, Duke University
  • Ioannis Sechopoulos, Radboud University, Netherlands
  • Rie Tanaka, Kanazawa University, Japan

Local Arrangement Committee

  • Ehsan Abadi, CVIT, Duke University
  • Ehsan Samei, CVIT, Duke University
  • Paul Segars, CVIT, Duke University
  • Joseph Lo, CVIT, Duke University

Summit Details

The two and a half – day Summit will include 

  1. Presentations by leading scientists, practitioners, and developers of related scholarship, 
  2. Workshops, 
  3. Proffered presentations, and
  4. Industry expo

The intended audiences are all individuals interested in the development and medical use of virtual tools including biomedical engineers, physicists, radiologists, radiation oncologists, clinical practitioners, regulators, and vendors. The topics are informed by the following broad categories:

  • Computational human models 
  • Computational models of diseases
  • Computational models of imaging systems 
  • Computational models of interventional hardware
  • Computational models of interventional processes
  • Imaging assessment models
  • Data interpretation models
  • Standards and data formats for VT
  • VT and its utility and application to AI
  • Hybrid clinical and virtual trials
  • VT and its relevance and role in regulatory science
  • Verification, validation, and inference of VT results
  • Variability quantification and its representation in VT
  • Limits of approximation and extrapolation of VT results
  • Case example applications of VT 
  • Application of VT to clinical practice
  • Future priorities and application of VT 

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