SOURCE-LINKED INTELLIGENCE
Patient-specific Microstructural and radIobiological model for persoNalised external beam radiatIONn therapy in localised tumourS
simulations of Diffusion Magnetic Resonance (DW-MR) signals and radiation-tissue interactions on a library of in-silico cellular substrates to obtain an integrated simulation platform; (ii) real-time Artificial Intelligence-based techniques to accelerate MC simulations and make them compatible with fast treatment planning and adaptation; (ii) advanced DW-MR imaging, to retrieve non-invasively the information required to feed the simulation platform for the implementation of patient-specific microstructural and radiobiological models. The design of in-vivo and ex-vivo tests allows validating the model performance and the collaboration of researchers, engineers and clinicians will drive the use of this innovative strategy in clinical routine, to increase survival and quality of life for a wide range of cancer patients. Personalised radiotherapy, microstructural and radiobilogical modelling in radiotherapy, diffusion MRI in radiotherapy, Monte-Carlo simulations in radiotherapy, Artificial Intelligence in radiotherapy
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1487676
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.