-
Notifications
You must be signed in to change notification settings - Fork 1
/
references.bib
21 lines (20 loc) · 1.19 KB
/
references.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
@InProceedings{10.1007/978-3-030-77967-2_53,
author="van der Kolk, Max
and Miller, Claire
and Padmos, Raymond
and Azizi, Victor
and Hoekstra, Alfons",
editor="Paszynski, Maciej
and Kranzlm{\"u}ller, Dieter
and Krzhizhanovskaya, Valeria V.
and Dongarra, Jack J.
and Sloot, Peter M.A.",
title="des-ist: A Simulation Framework to Streamline Event-Based In Silico Trials",
booktitle="Computational Science -- ICCS 2021",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="648--654",
abstract="To popularise in silico trials for development of new medical devices, drugs, or treatment procedures, we present the modelling framework des-ist (Discrete Event Simulation framework for In Silico Trials). This framework supports discrete event-based simulations. Here, events are collected in an acyclic, directed graph, where each node corresponds to a component of the overall in silico trial. A simple API and data layout are proposed to easily couple numerous simulations by means of containerised environments, i.e. Docker and Singularity. An example in silico trial is highlighted studying treatment of acute ischemic stroke, as considered in the INSIST project.",
isbn="978-3-030-77967-2"
}