Exploring the in silico adaptation of the Nephroblastoma Oncosimulator to MRI scans, treatment data, and histological profiles of patients from different risk groups
The present work establishes a foundation for further studies using available retrospective datasets and additional patients per risk group. These efforts are expected to help validate the findings, advance model development, and extend this mechanistic multiscale discretized cancer model. However, clinical validation is ultimately required to assess the potential uses of the model in clinical decision-support systems.
Authors
- Norbert M. Graf (ORCID: https://orcid.org/0000-0002-2248-323X)
- Dimitrios Soudris (ORCID: https://orcid.org/0000-0002-6930-6847)
- Marcel Meyerheim (ORCID: https://orcid.org/0000-0002-9294-9445)
- Georgios Stamatakos (ORCID: https://orcid.org/0000-0003-2054-477X)
- Eleni Georgiadi (ORCID: https://orcid.org/0009-0006-3367-8725)
- Foteini Panagiotidou
Institutions
- National Technical University of Athens (GR)
- University of West Attica (GR)
- Institute of Communication and Computer Systems (GR)
- Saarland University (DE)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-04-17
- DOI
- https://doi.org/10.3389/fphys.2025.1465631
- Citations
- 2
- Primary Topic
- Renal and related cancers
- Type
- article
- Field-Weighted Citation Impact
- 1.61