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CORDIS - Forschungsergebnisse der EU
CORDIS

PHOtonic integrated OCT-enhanced flow cytometry for canceR and cardiovascular diagnostics enabled by Extracellular VEsicles discRimination

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Project announcement (Fact sheet, presentation, press release, social accounts) and website (öffnet in neuem Fenster)

The document will report on the preparation of basic material for the announcement of PHOREVER project to the general public through the official tools of the EC and the dissemination channels of the consortium partners. The document will also report on the preparation of the project website, presenting its structure and initial content, as well as of PHOREVER accounts in popular social media. Finally it will provide details of the promotion video of the project that will facilitate towards the awarness of the general public on the project's goals and impact.

Assembly of PHOREVER pre-cursor prototype (öffnet in neuem Fenster)

This deliverable will describe the assembly of PHOREVER pre-cursor prototype.

Characterization of 1st Gen TriPleX chips (öffnet in neuem Fenster)

The deliverable will describe the characterization results of the 1st Gen TriPleX chips.

Biobank generation with human blood samples (öffnet in neuem Fenster)

This deliverable will describe the generation of the biobank with the human blood samples.

Plan for dissemination and exploitation including communication activities and video presentation (öffnet in neuem Fenster)

This deliverable will outline the dissemination and exploitation framework of PHOREVER consortium and will identify the activities that will maximize the project's outreach and visibility.

Definition of use cases and system specs at module and component level (öffnet in neuem Fenster)

The report will focus on the use cases that will serve as guide for the design and development of PHOREVER technology demonstrators, and will identify the corresponding sets of system specifications and requirements.

Data management plan (öffnet in neuem Fenster)

The deliverable will report on the data sets that will be made available in open repositories together with the necessary reference details for access to the open data. It will also provide details of the promotion video of the project that will facilitate towards the awarness of the general public on the project's goals and impact.

Veröffentlichungen

Integrated opto-fluidic device for high-power living cell exposure and detection (öffnet in neuem Fenster)

Autoren: Arnoud S. Everhardt, Vasileios Konstantinidis, Paul Kapteijn, Marcel Hoekman, Soultana Konstantinidou, Marta D'Amora, Alessandro De Carli, Francesco Fuso, Francesco Tantussi, Michele Lai, Vittoria Raffa, Sadoon M. S. Al-Obaidi, Noor A. Schilder, René G. Heideman, Douwe H. Geuzebroek, Frederik Schreuder
Veröffentlicht in: Microfluidics, BioMEMS, and Medical Microsystems XXII, 2024
Herausgeber: SPIE
DOI: 10.1117/12.3003176

Development of 3D-printed microlenses at the edge of waveguides of flow cytometry and optical coherence tomography photonic integrated circuits (öffnet in neuem Fenster)

Autoren: Adamantia Maria Grammatikaki, Lefteris Gounaridis, Dimitris Gounaridis, Karol Obara, Arnoud Everhardt, Adam Raptakis, Ton van Leeuwen, Edwin van der Pol, Hercules Avramopoulos, Christos Kouloumentas
Veröffentlicht in: Integrated Optics: Devices, Materials, and Technologies XXIX, 2025
Herausgeber: SPIE
DOI: 10.1117/12.3042890

Identification of Ischemic Stroke Patients Based on Plasma Concentrations of Extracellular Vesicles (öffnet in neuem Fenster)

Autoren: Naomi C. Buntsma, Chi M. Hau, Mandy Los, Vivien M. Chen, Ton G. van Leeuwen, Yvo B. W. E. M. Roos, Rienk Nieuwland, Aleksandra Gasecka, Edwin van der Pol
Veröffentlicht in: Translational Stroke Research, 2025, ISSN 1868-4483
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1007/S12975-025-01371-Z

A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles (öffnet in neuem Fenster)

Autoren: Ioanna Angelioudaki, Angeliki Iosif, Konstadina Kourou, Alexandros-Georgios Tzingounis, Vassiliki Kigka, Androniki-Maria Skreka, Myrto Costopoulos, Nikolaos Memos, Agapi Kataki, Manousos M. Konstadoulakis, Dimitrios I. Fotiadis
Veröffentlicht in: Frontiers in Oncology, Ausgabe 15, 2025, ISSN 2234-943X
Herausgeber: Frontiers Media SA
DOI: 10.3389/FONC.2025.1540195

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