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From Magnetic Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas

Objective

GLIOGEN-X pioneers a new paradigm in neuro-oncology. It is a novel generative AI modality designed to test whether brain MRI truly encodes recoverable molecular information about gliomas. While current radiogenomic approaches assume that deep networks can implicitly learn tumour biology from images, this project transforms that assumption into a falsifiable hypothesis, experimentally probing the informational limits of MRI and its capacity to support virtual biopsy.

The project builds on three synergistic, high-risk/high-gain pillars. First, generative experimentation will use controlled diffusion models to synthesise realistic, biomarker-aware glioma MRIs, testing whether molecular conditioning injects measurable and reproducible phenotypic structure. Second, interpretable and uncertainty-aware prediction will translate these generative insights into transparent virtual-biopsy models, capable of identifying key molecular signatures from imaging alone.
Third, a federated research infrastructure will ensure privacy-preserving, GDPR-compliant collaboration across hospitals, enabling robust validation without data sharing and fostering reproducibility.
Beyond its scientific objectives, GLIOGEN-X establishes the methodological and ethical foundations for AI Act–ready medical AI: explainable, auditable, and human-centred by design.
Its outputs, a pathology-aware generative engine, hybrid datasets, interpretable predictors and an experimental research platform, will form a reusable European asset for trustworthy AI in healthcare.
Whether confirming or refuting the central hypothesis, GLIOGEN-X will deliver transformative knowledge by defining how far imaging can reveal tumour biology and paving the way for non-invasive, personalised oncology guided by trustworthy artificial intelligence.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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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.

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.

HORIZON-EIC - HORIZON EIC Grants

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Call for proposal

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(opens in new window) HORIZON-EIC-2025-PATHFINDERCHALLENGES-01

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Coordinator

Siena Imaging s.r.l.
Net EU contribution

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.

€ 2 201 825,88
Address
Via Fiorentina, 1
53100 Siena
Italy

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Centro (IT) Toscana Siena
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

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.

No data

Participants (4)

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