Objective
AI-SCAN aims to revolutionize the field of cancer diagnostics by merging the analytical power of artificial intelligence (AI) with the ultra-high spatial resolution of scattering-type near-field optical microscopy (SNOM) for cancer detection. Cancer cells undergo biochemical and morphological alterations at the nanoscale, such as changes in DNA, protein content, lipid distribution, refractive index (RI), and membrane architecture. Detecting and interpreting these subtle variations before they observable at the tissue or organ level remains one of the greatest challenges in early diagnosis. AI-SCAN directly addresses this challenge by developing intelligent computational models capable of decoding complex nanoscale optical signals and identifying disease-specific biomarkers with unprecedented sensitivity and accuracy. The project integrates three complementary components. First, physics-based three-dimensional (3D) simulation models will be established to reproduce the interaction between light, SNOM probe, and biological samples. Second, advanced SNOM imaging will be employed to acquire real time high-quality spectroscopic and topographic data from healthy and cancerous cells. Third, cutting-edge AI algorithms like BRANN will be utilized to extract diagnostically relevant features from multimodal SNOM datasets enabling robust classification of healthy versus malignant states. Through this multidisciplinary approach, AI-SCAN seeks to establish a new paradigm for nanoscale cancer detection. The combination of experimental measurements, computational simulations, and AI analysis will allow systematic identification of optical biomarkers that are otherwise hidden within noisy and high-dimensional datasets. Ultimately, AI-SCAN has the potential to pave the way for earlier and more accurate detection of aggressive cancers, contributing to the advancement of biomedical imaging and strengthening Europe’s leadership in AI-driven healthcare innovation.
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.
- natural sciences computer and information sciences artificial intelligence
- natural sciences biological sciences genetics DNA
- natural sciences biological sciences biochemistry biomolecules proteins
- natural sciences physical sciences optics microscopy
- medical and health sciences clinical medicine oncology
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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-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-2025-PF
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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.
01513 Vilnius
Lithuania
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.