In silico oncology: a mechanistic multiscale model of clinical prostate cancer response to external radiation therapy as the core of a digital (virtual) twin. Sensitivity analysis and a clinical adaptation approach
Further data is being collected in order to enhance the model parametrization and conduct extensive clinical validation. The envisaged digital twin or OncoSimulator, a concept and technologically integrated system that our team has previously developed for other cancer types, is expected to support both patient personalized treatment and <i>in silico</i> clinical trials.
Authors
- Simon K. B. Spohn (ORCID: https://orcid.org/0000-0003-2727-8005)
- Eleni Kolokotroni (ORCID: https://orcid.org/0000-0001-8455-2918)
- Anca-Ligia Grosu (ORCID: https://orcid.org/0000-0003-2255-2255)
- Georgios Stamatakos (ORCID: https://orcid.org/0000-0003-2054-477X)
- Christos A. Kyroudis
- Ilias Sachpazidis (ORCID: https://orcid.org/0000-0001-5701-8947)
- Constantinos Zamboglou (ORCID: https://orcid.org/0000-0002-7849-7550)
- Dimos Baltas (ORCID: https://orcid.org/0000-0003-4220-9083)
- Foteini Panagiotidou
- Stamatia Tsampa
Institutions
- University of Freiburg (DE)
- National Technical University of Athens (GR)
- German Cancer Research Center (DE)
- European University Cyprus (CY)
- University Medical Center Freiburg (DE)
- Institute of Communication and Computer Systems (GR)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-02-24
- DOI
- https://doi.org/10.3389/fphys.2025.1434739
- Citations
- 7
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 9.58