Selective express tumor diagnostic with narrow band nanophotonic structures

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Competitiveness Entrepreneurship and Innovation - GR - ERDF/ESF (2014GR16M2OP001), managing authority: Υπουργείο Οικονομίας, Ανάπτυξης και Τουρισμού/ Ειδική Υπηρεσία Διαχείρισης ΕΠ «Ανταγωνιστικότητα, Επιχειρηματικότητα και Καινοτομία». Beneficiary: ΝΑΝΟΤΥΠΟΣ ΟΕ. Location: Greece. Budget: total eligible expenditure EUR 92,000, as stated by the source. Runs 2017-10-10 to 2019-10-09. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS); selected because its summary names quantum technology. Summary from Kohesio (English machine translation by the source): his EXODIAGNOS project proposal addresses the development of novel approach for tumor diagnostics. A new selective, early-stage, non-invasive, express cancer diagnostic procedure utilising exosomal vesiclesand their content recognition by specially designed narrow bandwidth active/passive nano- andmicrophotonic sensors will be proposed for clinical trials.Our approach is based on three recently suggested Novelties.(i) Recognition of exosomal biomarkers surface and intravesicular proteins and mRNA and DNA nucleic acids as tumor markers.(ii) amplitude and phase detection methods using narrow band localised plasmonic resonances and resonances in microcavities, to make a breakthrough in the sensitivity and selectivity of the respective bioand environmental sensors.(iii) Ultra-sensitive detection promised by Active plasmonic Platform (quantum emitters coupled with the plasmonic nanoresonators and/or microresonators).

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: The EXODIAGNOS project, co-funded by the EU, aims to develop a novel non-invasive cancer diagnostic procedure using exosomal vesicles and specialized nanophotonic sensors. The project runs from October 10, 2017, to October 9, 2019, with a budget of EUR 92,000. Suggested technology pillar: sensing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.