Cogno, Nicolò;
Axenie, Cristian;
Bauer, Roman;
Vavourakis, Vasileios;
(2024)
Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.
Cancer Biology & Therapy
, 25
(1)
, Article 2344600. 10.1080/15384047.2024.2344600.
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Abstract
Computational models are not just appealing because they can simulate and predict the development of biological phenomena across multiple spatial and temporal scales, but also because they can integrate information from well-established in vitro and in vivo models and test new hypotheses in cancer biomedicine. Agent-based models and simulations are especially interesting candidates among computational modeling procedures in cancer research due to the capability to, for instance, recapitulate the dynamics of neoplasia and tumor – host interactions. Yet, the absence of methods to validate the consistency of the results across scales can hinder adoption by turning fine-tuned models into black boxes. This review compiles relevant literature that explores strategies to leverage high-fidelity simulations of multi-scale, or multi-level, cancer models with a focus on verification approached as simulation calibration. We consolidate our review with an outline of modern approaches for agent-based models’ validation and provide an ambitious outlook toward rigorous and reliable calibration.
| Type: | Article |
|---|---|
| Title: | Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/15384047.2024.2344600 |
| Publisher version: | http://dx.doi.org/10.1080/15384047.2024.2344600 |
| Language: | English |
| Additional information: | Copyright © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | Agent-based modeling; multi-scale; multi-level; calibration; validation; optimization; biomechanics; biophysics; cancer simulation; precision oncology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10192295 |
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