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Chemometric histopathology via coherent Raman imaging for precision medicinebroad

CHARM · Horizon Europe grant · 2022-05-01–2025-10-31

EC contribution

€2,441,979

Total cost

€2,441,980

Beneficiaries

7
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2021-TRANSITION-CHALLENGES-01 · scheme HORIZON-EIC · topic HORIZON-EIC-2021-TRANSITIONCHALLENGES-01-01. CORDIS record →

Objective

The CHARM project aims to radically transform the cancer diagnosing process and bring the emerging field of digital histopathology to the next level, introducing a novel technology for tissue analysis, capable to measure the molecular composition of the patient tissue samples and to recognize and classify the tumor in a completely label/stain-free way. The instrument, integrated with artificial intelligence (AI), will offer to histopathologists a reliable, fast and low-cost Clinical Decision Support System (CDSS) for cancer diagnosis and personalized cancer therapy. We will develop a Class C, (IVDR, In-Vitro Diagnostic Regulation) medical device consisting of a turnkey low-cost broadband Coherent Raman Scattering (CRS) microscope (enabled by our patented graphene-based fiber laser technology), named the Chemometric Pathology System (CPS), integrating an AI module based on deep learning, statistics and machine learning. The CPS will be capable of automatically analyzing unstained tissues, providing fast and accurate tumour identification (differentiating normal vs neoplastic tissues) with accuracy >98% and final tumour diagnosis prediction (differentiating and grading histologic subtypes) with accuracy >90%, thus offering to the histopathologist a decision tree compatible with existing clinical protocols but with biomolecular-based objectivity and reduced time to result (TRL6). We will develop a robust business case for the application and ensure the project continuation to higher TRLs and the final market entrance. This proposal builds on the results of the ERC POC project GSYNCOR.

Beneficiaries (7)

OrganisationCountryRoleEC contributionSME
CAMBRIDGE RAMAN IMAGING SRL IT coordinator €1,433,633 Yes
UNIVERSITATSKLINIKUM JENA DE participant €507,986
POLITECNICO DI MILANO IT participant €470,000
INSPIRALIA SOCIEDAD LIMITADA ES participant €30,360 Yes
IN SRL IT thirdParty €0 Yes
CONSIGLIO NAZIONALE DELLE RICERCHE IT thirdParty €0
THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE UK associatedPartner

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