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THz-FIR Colour Imaging of Skin Condition Based on Analysis of Its Thermal Emissionbroad

THz-Skin · Horizon Europe grant · 2026-02-01–2030-01-31

EC contribution

€2,998,912

Total cost

€2,998,912

Beneficiaries

9
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2025-PATHFINDEROPEN · scheme HORIZON-EIC · topic HORIZON-EIC-2025-PATHFINDEROPEN. CORDIS record →

Objective

In the EU skin cancer causes 36,000 deaths per year and €9 billion in healthcare and indirect costs. Diagnosis relies on expensive tools and specialists, thus preventing mass screening to improve patient outcomes and costs. THz-Skin addresses this by developing a platform that merges advanced detection technology with unique spectroscopic data for effective, accessible diagnostics. We build on the well established fact that cancer biomarkers manifest as spectral fingerprints in the terahertz-far infrared range. By resolving these features from body thermal emission, we achieve real-time, zero-radiation, non-invasive, label-free cancer diagnostics – a real breakthrough in early skin cancer detection.Our platform blends high-performance, miniaturized sensors with a large, open-access spectral fingerprint library of skin conditions. Inspired by the RGB model for visible light, our Multifrequency Pixels (MFPs) decompose skin thermal emission into spectral bands in the 3-25 THz range, where biomolecular cancer signatures occur. Our MFPs consist of compact, low-cost micromechanical bolometers fitted with frequency-selective metasurfaces, achieving high sensitivity and body thermal radiation analysis without cryogenics or bulky spectrometers. Diagnostic capabilities can be continuously improved by optimising MFP architecture and expanding our spectral library with simulated and experimental data. Our platform is designed for scalability, affordability and broad deployment in primary care settings. It is also designed to integrate with AI diagnostic tools, adding sub-cutaneous, cancer specific information to standard camera images. To ensure real-world readiness, our system will undergo in vivo validation using animal models, demonstrating its diagnostic performance in biologically relevant conditions and paving the way to a new era in advanced skin diagnostics.

Beneficiaries (9)

OrganisationCountryRoleEC contributionSME
ITA-SUOMEN YLIOPISTO FI coordinator €550,906
UNIVERSITA DEGLI STUDI DI SALERNO IT participant €405,000
FONDAZIONE BRUNO KESSLER IT participant €400,000
ELETTRA - SINCROTRONE TRIESTE SCPA IT participant €350,000
UNIVERSITA DI PISA IT participant €349,999
SCIPROM SARL CH participant €316,875 Yes
VALSTYBINIS MOKSLINIU TYRIMU INSTITUTAS FIZINIU IR TECHNOLOGIJOS MOKSLU CENTRAS LT participant €267,358
UAB TERAVIL LT participant €249,150 Yes
ASTERIA BUSINESS DEVELOPMENT LTD UK participant €109,625 Yes

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