Large-scale Virtual Clinical Trials of Closed-loop Treatments for People with Type 1 Diabetes

Tobias K. S. Ritschel, Asbjørn Thode Reenberg, John Bagterp Jørgensen*

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

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Abstract

We propose a virtual clinical trial for assessing the safety and efficacy of closed-loop diabetes treatments prior to an actual clinical trial. Such virtual trials enable rapid and risk-free pretrial testing of algorithms, and they can be used to compare different treatment variations for large and diverse populations. The participants are represented by multiple mathematical models, consisting of stochastic differential equations, and we use Monte Carlo closed-loop simulations to compute detailed statistics of the closed-loop treatments. We implement the virtual clinical trial using high-performance software and hardware, and we present an example trial with two mathematical models of one million participants over 52 weeks (i.e., two million simulations), which can be completed in 2 h 9 min.
Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume55
Issue number23
Pages (from-to)169-174
ISSN2405-8963
DOIs
Publication statusPublished - 2022
Event9th IFAC Conference on Foundations of Systems Biology in Engineering : FOSBE 2022 - Cambridge, United States
Duration: 28 Aug 202231 Aug 2022

Conference

Conference9th IFAC Conference on Foundations of Systems Biology in Engineering
Country/TerritoryUnited States
CityCambridge
Period28/08/202231/08/2022

Keywords

  • Virtual clinical trials
  • Diabetes
  • Stochastic modeling
  • High-performance computing

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