CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
The dissemination, exploitation and communication strategy (including stakeholders’ analysis), plan, language, and impact evaluation.
Initial report on user research and co- WP2 creation process (opens in new window)Initial (before R&D initiation) report on the methods, implementation and outputs of user research and co-creation processes, including empathy/journey maps and user stories/requirements.
The iPROLEPSIS trustworthy AI framework (opens in new window)Compilation of trustworthy and responsible AI guidelines and practices to be followed for developing the iPROLEPSIS AI-driven components.
First report on project visibility and educational material (opens in new window)Periodic report on project visibility (dissemination, communication and networking activities), including impact indicators, and the educational content developed.
Initial report on the state-of-the-art and datasets (opens in new window)Initial (early R&D) report on literature review and existing, relevant health and omics databases/sets.
Study initiation package (iPROLEPSIS-PDPID study) (opens in new window)Package including the clinical study registration number in a registry meeting WHO criteria, final version of study protocol as approved by regulators/ethics committees, and regulatory/ethics approvals required for the enrolment of the first study participant.
Presentation of the project visual identity, website, social media channels and communication kit.
Initial version of the DMP. The DMP will be open and continuously updated over the course of the project.
Study (only research data collection) version of the iPROLEPSIS patient app, with support for dBM-based symptom tracking, lifestyle interventions and AI-driven recommendations, and of the app for HCPs, powered by predictive models.
Publications
Author(s):
Bárbara Ramalho; Marta Vicente; Hugo Escobar; Sandra Gama; Filomena Carnide; Fátima Baptista; José Alves Diniz
Published in:
IEEE MELECON 2024, 2024, ISSN 2158-8481
Publisher:
IEEE
DOI:
10.1109/MELECON56669.2024.10608739
Author(s):
Bárbara Ramalho; Marta Vicente; Hugo Escobar; Sandra Gama; Filomena Carnide; Fátima Baptista; José Alves Diniz; Leontios Hadjileontiadis; Sofia Balula Dias
Published in:
PETRA 2024 conference, 2024, ISBN 979-8-4007-1760-4
Publisher:
ACM Digital Library
DOI:
10.1145/3652037.3663939
Author(s):
Vasileios Tsiantis, Dimitrios Konstantinidis, Kosmas Dimitropoulos
Published in:
PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024, ISBN 979-8-4007-1760-4
Publisher:
Association for Computing Machinery
DOI:
10.1145/3652037.366389
Author(s):
Chatzikontantinou Christos; Dimitrios Konstantinidis;Kosmas Dimitropoulos; Petros Daras
Published in:
2023 IEEE International Conference on Imaging Systems and Techniques (IST), 2023, ISSN 2832-4234
Publisher:
IEEE
DOI:
10.1109/IST59124.2023.10355708
Author(s):
Ilias Papastratis, Andreas Stergioulas, Dimitrios Konstantinidis, Petros Daras, Kosmas Dimitropoulos
Published in:
Nutrition, Issue 121, 2024, ISSN 1873-1244
Publisher:
Elsevier
DOI:
10.1016/j.nut.2023.112291
Author(s):
Ilias Papastratis, Dimitrios Konstantinidis, Petros Daras, Kosmas Dimitropoulos
Published in:
Scientific reports, 2024, ISSN 2045-2322
Publisher:
Nature Publishing Group
DOI:
10.1038/s41598-024-65438-x
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