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New open-access, peer-reviewed paper collection
26/06/2025
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A new open-access, peer-reviewed paper collection titled “Multiscale Cancer Modeling, In Silico Oncology and Digital (Virtual) Twins in the Cancer Domain” has been published in Frontiers in Physiology – Computational Physiology and Medicine. Edited by the Avicenna Cancer and In Silico Oncology Task Force Leader, Prof. Georgios S. Stamatakos, together with Prof. Maria Angeles Perez, and Prof. Ravi Radhakrishnan, the collection highlights recent advances in in silico oncology and cancer digital twins.
The editorial introduces in silico oncology as a rapidly evolving discipline supporting cancer prevention, diagnosis, prognosis, and treatment optimization through computer-based modelling.
These models—mechanistic or AI-based—must undergo strict clinical validation to be applied in real-world settings.
Cancer digital twins simulate disease progression and treatment outcomes, enabling personalized care. Their transformative potential is recognized in major initiatives across the EU (EDITH, EMA, Avicenna Alliance) and the US (National Academies, ASME).
Explore the collection here and the editorial here
