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. 2025 Jul 25:8:1624877.
doi: 10.3389/frai.2025.1624877. eCollection 2025.

From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology

Irem Karaman  1 , Burhan Sebin #  2
Affiliations

From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology

Irem Karaman et al. Front Artif Intell. .
No abstract available

Keywords: cancer care; digital twin; multimodal data integration; precision oncology; smart cities.

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Conflict of interest statement

BS is Vice President at Atlas Space, a company that develops digital twin solutions. Atlas Space provided no funding for this work and had no role in study design, data analysis, manuscript preparation, or the decision to submit for publication. BS is employed at eMerge Americas. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Infographic illustrating the concept of digital twins. On the left, an urban digital twin represents a dynamic city with buildings, cars, and traffic signals. On the right, an oncology digital twin shows cancer patients undergoing personalized scenario rehearsals with treatments A, B, and C, all resulting in high drug effects. The process connects smart city simulations to precision oncology, highlighting dynamic simulation and personalized risk-minimized care.
Figure 1
The goal of an urban digital twin is to simulate optimal city operations by ingesting real-time sensor data; a cancer digital twin, on the other hand, would combine genetic, imaging, and biomarker streams to practice treatments and provide risk-minimizing, individualized cancer care. Figure created with BioRender.
See this image and copyright information in PMC

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References

    1. Aghamiri S. S., Amin R. (2025). The potential use of digital twin technology for advancing CAR-T cell therapy. Curr. Issues Mol. Biol. 47:321. 10.3390/cimb47050321 - DOI - PMC - PubMed
    1. Alvi M., Dutta H., Minerva R., Crespi N., Raza S. M., Herath M., et al. (2025). Global perspectives on digital twin smart cities: innovations, challenges, and pathways to a sustainable urban future. Sust. Cities Soc. 126:106356. 10.1016/j.scs.2025.106356 - DOI
    1. Chaudhuri A., Pash G., Hormuth D. A., Lorenzo G., Kapteyn M., Wu C., et al. (2023). Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Front. Artif. Intell. 6:1222612. 10.3389/frai.2023.1222612 - DOI - PMC - PubMed
    1. Chiru E.-D., Vetter M. (2023). Benefits and applications of oncotype DX breast recurrence score testing among breast cancer patients: current recommendations and controversies. Healthbook Times Oncol. Hematol. 16, 20–27. 10.36000/hbT.OH.2023.16.107 - DOI
    1. Chung J., Akter S., Han S. H., Shin Y., Choi T. H., Kang I., et al. (2022). Diagnosis by volatile organic compounds in exhaled breath from patients with gastric and colorectal cancers. Int. J. Mol. Sci. 24, 129–129. 10.3390/ijms24010129 - DOI - PMC - PubMed

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