LUng Modeling and INtelligence for Advanced care: A Digital Twin Approach to Lung Cancer Diagnosis and Treatmentbroad
LUMINA · Horizon Europe grant · 2026-10-01–2030-09-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2025-PATHFINDERCHALLENGES-01 · scheme HORIZON-EIC · topic HORIZON-EIC-2025-PATHFINDERCHALLENGES-01-02. CORDIS record →
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.
Beneficiaries (6)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| AALBORG UNIVERSITET | DK | coordinator | €1,841,704 | |
| REGION HOVEDSTADEN | DK | participant | €838,760 | |
| HUMANITAS MIRASOLE SPA | IT | participant | €624,505 | |
| POLITECHNIKA KRAKOWSKA | PL | participant | €293,130 | |
| NARODOWY INSTYTUT ONKOLOGII IM. MARII SKLODOWSKIEJ-CURIE -PANSTWOWY INSTYTUT BADAWCZY | PL | participant | €223,755 | |
| POLITECNICO DI MILANO | IT | participant | €177,090 |
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