Real-world-data Enabled Assessment for heaLth regulatory decision-Making

Informacje na temat projektu

REALM

Identyfikator umowy o grant: 101095435

DOI

10.3030/101095435

Data podpisania przez KE 24 Listopada 2022

Data rozpoczęcia 1 Stycznia 2023

Data zakończenia 31 Grudnia 2026

Finansowanie w ramach

• Health

Koszt całkowity

€ 6 659 650,00

Wkład UE

€ 6 659 650,00

Koordynowany przez

UNIVERSITEIT MAASTRICHT
Netherlands

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (2)

Authorized access agreements with European Medical Data Pools and DT

In this deliverable we aim to bridge REALM’s data infrastructure with ongoing (and completed) European projects with standardized medical data component, Digital Twins Platforms, In-Silico trial technologies and restricted access biobanks.

Data Management Plan

The DMP describes the data management life cycle for the data to be collected, processed and/or generated. As part of making research data findable, accessible, interoperable and re-usable (FAIR), the DMP will include information on:- the handling of research data during & after the end of the project- what data will be collected, processed and/or generated- which methodology & standards will be applied- whether data will be shared/made open access and how data will be curated & preserved (including after the end of the project).

Websites, patent fillings, videos etc. (1)

Public project website

The website will inform the public about the project’s aims, updates and results. The website will be continuously updated throughout the project’s lifetime. Links to social media will be implemented as well.

Publikacje

Peer reviewed articles (6)

Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The Black Box Problem

Autorzy: Babu C. S., Holsinger F.C., Zuchowski L/, Ratti E., Rameau A.
Opublikowane w: American Academy of Otolaryngology—Head and Neck Surgery Foundation, 2023, ISSN 2644-1276
Wydawca: American Academy of Otolaryngology—Head and Neck Surgery Foundation
DOI: 10.1002/ohn.410

Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges

Autorzy: Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien Pluim, Bart Elen, Gokhan Ertaylan, Michel Dumontier
Opublikowane w: arXiv, 2024, ISSN 2644-1276
Wydawca: arXiv
DOI: 10.48550/arXiv.2407.00116

Using Generative Artificial Intelligence in the Production and Dissemination of Innovation in Otolaryngology—Ethical Considerations

Autorzy: Carolyn Jane Khoury BA, Necati Enver MD, FEBORL-HNS, Alberto Paderno MD, PhD, Emanuele Ratti PhD, Anaïs Rameau MD, MPhil, MS FACS
Opublikowane w: American Academy of Otolaryngology—Head and Neck Surgery Foundation, 2023, ISSN 2644-1276
Wydawca: American Academy of Otolaryngology—Head and Neck Surgery Foundation
DOI: 10.1002/ohn.601

Science and values: a two-way direction

Autorzy: Emanuele Ratti, Federica Russo
Opublikowane w: European Journal for Philosophy of Science, 2024, ISSN 2644-1276
Wydawca: Springer
DOI: 10.1007/s13194-024-00567-8

What Do We Teach to Engineering Students: Embedded Ethics, Morality, and Politics

Autorzy: Avigail Ferdman & Emanuele Ratti
Opublikowane w: Science and Engineering Ethics, 2024, ISSN 2644-1276
Wydawca: Springer
DOI: 10.1007/s11948-024-00469-1

Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation through End-to-End Data and Model Management

Autorzy: Nikolaos Ntampakis, Vasileios Argyriou, Konstantinos Diamantaras, Konstantinos Goulianas, Panagiotis Sarigiannidis, Ilias Siniosoglou
Opublikowane w: IEEE Open Journal of Engineering in Medicine and Biology, 2024, ISSN 2644-1276
Wydawca: IEEE
DOI: 10.1109/OJEMB.2024.3426910