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CORDIS - Risultati della ricerca dell’UE
CORDIS

EARLY DYNAMIC SCREENING FOR COLORECTAL CANCER VIA NOVEL PROTEIN BIOMARKERS REFLECTING BIOLOGICAL INITIATION MECHANISMS

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Initial common work plan for scientific collaboration under the ‘Prevention, including Screening (si apre in una nuova finestra)

Report on common workplan for scientific collaboration of the EU-funded projects under the ‘Prevention, including Screening’ cluster

Policy brief formulating recommendations based on the research and innovation strand of the ‘Prevention, including Screening’ annual cluster meeting (Year 1) (si apre in una nuova finestra)

Report on policy formulating recommendations based on the research and innovation actions of the EU-funded projects under the ‘Prevention, including Screening’ cluster, as outlined in the 1st annual meeting

Dissemination and exploitation plan (si apre in una nuova finestra)

Dissemination, communication and exploitation activities of DIOPTRA

DIOPTRA Full Specification Report (si apre in una nuova finestra)

Deliverable will comprise the complete DIOPTRA blueprint, featuring 3 dedicated subsections corresponding to Tasks 2.1-2.2, namely a) Operational Specification Report (OSR), b) Technical Specification Report (TSR) and c) Regulatory Specification Report (RSR). Task Lead Partners will be responsible for the completion of each subsection.

Conclusions of common annual meeting of the ‘Prevention, including Screening’ cluster (Year 1) (si apre in una nuova finestra)

Report on the conclusions of the 1st annual meeting of the EU-funded projects under the ‘Prevention, including Screening’ cluster

Risk Management & Quality Report (si apre in una nuova finestra)

Risk Management & Quality Report will summarize risks and boundaries related to the project implementation, as well as the overall activities, out-comes and subsequent plans of DIOPTRA project, ensuring smooth progress and implementation of mitigation measures when necessary.

Data Management Plan (si apre in una nuova finestra)

The first version of DIOPTRA Data Management Plan will be produced by T2.1. DMP will be the blueprint required to make European research data and infrastructures Findable, Accessible, Interoperable and Reusable according to the FAIR Principles. Specifically, it will focus on the database resources and the AI models, as well as (meta)data standards and data policies. In particular the GO FAIR, which is a stakeholder driven and self-governed initiative to implement the FAIR data principles, and the FAIR methodology, which provides guidelines for the implementation of the FAIR data principles throughout the research data life cycle, will be taken into consideration. Considering that the patients’ data are sensitive personal data, the relevant legal framework for the patients’ rights is the Data Protection Directive on the protection of individuals with regard to the processing of personal data and on the free movement of such and the General Data Protection Regulation (EU) 2016/67984 will be addressed.

DIOPTRA Clinical Protocols (si apre in una nuova finestra)

Clinical study protocol ensuring ethics approval for DIOPTRA prospective studies

Pubblicazioni

Projet DIOPTRA: Dépistage dynamique précoce du cancer colorectal grâce à de nouveaux biomarqueurs protéiques reflétant les mécanismes d’initiation biologique

Autori: Jiang Zheshen, Loly Catherine, Loly Jean-Philippe, Poncin Maxime, Javeau Françoise, Provenzano Vincent, Gillain Nicolas, Chavez Marcela, Duflot Patrick, Louis Edouard , Kolh Philippe
Pubblicato in: ALASS-GISEH Conference, 2024
Editore: ALASS-GISEH

Empowering Colorectal Cancer Research through Advanced Data Integration and Analysis: A case study of the DIOPTRA project (si apre in una nuova finestra)

Autori: Jarm, T., Šmerc, R., Mahnič-Kalamiza, S.
Pubblicato in: 9th European Medical and Biological Engineering Conference. EMBEC 2024. IFMBE Proceedings, vol 112, 2024, ISSN 1680-0737
Editore: Springer, Cham
DOI: 10.1007/978-3-031-61625-9_39

EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder (si apre in una nuova finestra)

Autori: Ioannis A. Vezakis, Konstantinos Georgas, Dimitrios Fotiadis, George K. Matsopoulos
Pubblicato in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024
Editore: IEEE
DOI: 10.48550/arXiv.2407.16298

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