From Big data to new science and practical solutions

Informations projet

Data4Healthcare

N° de convention de subvention: 101126602

DOI

10.3030/101126602

Date de signature de la CE 18 Octobre 2023

Date de début 1 Janvier 2024

Date de fin 31 Decembre 2028

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 3 582 000,00

Coordonné par

OULUN YLIOPISTO
Finland

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (2)

Call 1 Link to Euraxcess website

Inform the Project Officer on publishing each call for proposals, by sending the link to the Euraxess website and a screen shot of the related call announcement.>>

Call 2 - Link to Euraxess website

Inform the Project Officer on publishing each call for proposals, by sending the link to the Euraxess websiteand a screen shot of the related call announcement.>>

Documents, reports (1)

Call 1 Report on dissemination activities

Dates/Interval of call publication and dissemination channels/means (supporting documents are required asimages, screen shots, photos from events). Flyers, brochures, or other information produced for dissemination of the call Presentations held at conferences and/or meetings and/or other events Articles published in the press (please list and attach only main articles) Any other means for advertising the programme

Publications

Peer reviewed articles (2)

L2HiEMG synthesizer: A CycleGAN-driven computational tool for synthesizing enhanced muscle dynamics from lower-level intramuscular electromyography signals

Auteurs: Honghan Li, Jinyang Yu, Haijun Wu, Miguel Bordallo López, Yongkun Zhao
Publié dans: Biomedical Signal Processing and Control, Numéro 115, 2026, ISSN 1746-8094
Éditeur: Elsevier BV
DOI: 10.1016/J.BSPC.2025.109364

Effects of environment and globalization on the double and triple burdens of infection symptoms among under-five children across low-middle income countries using machine learning algorithms

Auteurs: Haile Mekonnen Fenta, A. Kofi Amegah, Aino K. Rantala, Inês Paciência, Jouni J. K. Jaakkola
Publié dans: Infectious Diseases of Poverty, Numéro 14, 2025, ISSN 2049-9957
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S40249-025-01387-5