Project description
Precision in prostate cancer predictions
Prostate cancer is one of the most common in men but is still not diagnosed or treated with accuracy. Many patients receive unnecessary interventions or do not receive timely treatment due to generic clinical pathways. Supported under the Marie Skłodowska-Curie Actions programme, the PADLOCK project will develop an effective, personalised tool to predict tumour growth. Through the combination of state-of-the-art imaging with state-of-the-art computation, such as isogeometric analysis and adaptive modelling, the project advances the accuracy of cancer growth modelling. PADLOCK introduces innovations to overcome limitations within state-of-the-art models to pave the way for digital twins that enable personalised treatment options. The project has the potential to provide better prostate cancer treatment.
Objective
Prostate cancer (PCa) is the second most diagnosed cancer and the fifth leading cause of cancer-related deaths among men worldwide in 2022. However, current clinical practice often remains inadequate with limited individualization, leading to overdiagnosis, overtreatment, and undertreatment. A spatiotemporal biomechanistic model informed by multiparametric magnetic resonance imaging offers a powerful tool to address these challenges. Isogeometric analysis (IGA) and local h-adaptivity further contribute to accurately represent the complex biostructures and capture tumor dynamics. Hence, this technology enables personalized forecasting of PCa growth following its first diagnosis, leading to improved clinical and therapeutic decision-making. However, the existing models of PCa growth present fundamental limitations in predictive accuracy and computational efficiency. In this project, we will address three issues underlying those limitations: a suboptimal adaptive scheme for IGA, susceptibility to numerical locking due to the near-incompressible mechanical behavior of biostructures, and the assumption of linear elasticity. Towards this end, this project will follow a multifaceted approach that includes the integration of truncated hierarchical B-splines to enhance the adaptive IGA scheme, the use of mixed formulations to circumvent the adverse effects of volumetric locking while modeling near-incompressible biological tissues, and the incorporation of geometric and material nonlinearities to improve the accuracy of displacement and stress fields. Through these transformative strategies, the proposed model will represent a substantial step forward in the development of clinically viable predictive digital twins for PCa growth. This project aligns closely with the objectives of the European Commission’s cancer mission and could positively impact individuals with PCa. My expertise in IGA, locking, and biomechanics, uniquely equips me to achieve the project's objectives.
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Keywords
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
27100 Pavia
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.