Objective
LUMINA introduces a groundbreaking methodology built upon physics-informed attention mechanisms, advancing dynamic intelligence for predictive precision in lung cancer care. A dynamic, interactive digital twin (BRONCHI DT) is designed to enhance early diagnosis, risk stratification, and personalized treatment responses. Furthermore, LUMINA pioneers a “Blood-to-Image” innovation that transforms blood-based biomarkers into Computed Tomography (CT) quality visualizations, reducing the need for invasive biopsies even when using incomplete patient datasets, such as when a full genetic profile is unavailable. This beyond–state-of-the-art approach combines advanced Generative AI methods with multimodal data fusion to model personalized disease trajectories based on nodules and tumors dynamics. The core of this innovation is the Physics-Informed Attention Network, which employs a dual-pathway mechanism to synergistically fuse data-driven learning, enabling the capture of dynamic patterns in lung cancer and the generation of future CT images. Additionally, it incorporates a pointer-linked graph to integrate uneven data samples. LUMINA takes an ambitious step forward by integrating longitudinal, multimodal lung cancer data from both Europe and Asia. An initial model will be developed for risk stratification (focused on non-small cell lung cancer) and immunotherapy response prediction using multi-center data augmented with synthetic samples, then generalized across lung cancer subtypes and treatment regimens, and finally validated to demonstrate clinical efficacy, scalability, and generalizability. LUMINA’s overarching ambition is to fundamentally endow target groups (e.g. clinicians, patients and healthcare providers) with proactive, AI-empowered self-management tool and equipping practitioners with a powerful decisional support system. The entire proposed ecosystem will be designed as an open platform adaptable to other cancers.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences health care services eHealth
- medical and health sciences clinical medicine oncology lung cancer
- engineering and technology medical engineering diagnostic imaging computed tomography
- natural sciences biological sciences ecology ecosystems
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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Topic(s)
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.
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
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.
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-EIC - HORIZON EIC Grants
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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-EIC-2025-PATHFINDERCHALLENGES-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.
9220 Aalborg
Denmark
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.