Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation

  • 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.

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Nicolò CognoORCiD, Cristian AxenieORCiD, Roman BauerORCiD, Vasileios VavourakisORCiD
DOI:https://doi.org/10.1080/15384047.2024.2344600
ISSN:1538-4047
Parent Title (English):Cancer Biology & Therapy
Publisher:Informa UK Limited
Document Type:Article
Language:English
Date of first Publication:2024/04/28
Reviewed:Begutachtet/Reviewed
Release Date:2024/11/11
Tag:Agent-based modeling; multi-scale; multi-level; calibration; validation; optimization; biomechanics; biophysics; cancer simulation; precision oncolog
Volume:25
Issue:1
Article Number:2344600
Pagenumber:25
institutes:Fakultät Informatik
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.