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 language | English |
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Book series | IFAC-PapersOnLine |
Volume | 55 |
Issue number | 23 |
Pages (from-to) | 169-174 |
ISSN | 2405-8963 |
DOIs | |
Publication status | Published - 2022 |
Event | 9th IFAC Conference on Foundations of Systems Biology in Engineering : FOSBE 2022 - Cambridge, United States Duration: 28 Aug 2022 → 31 Aug 2022 |
Conference
Conference | 9th IFAC Conference on Foundations of Systems Biology in Engineering |
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Country/Territory | United States |
City | Cambridge |
Period | 28/08/2022 → 31/08/2022 |
Keywords
- Virtual clinical trials
- Diabetes
- Stochastic modeling
- High-performance computing