From Big data to new science and practical solutions

Informazioni relative al progetto

Data4Healthcare

ID dell’accordo di sovvenzione: 101126602

DOI

10.3030/101126602

Data della firma CE 18 Ottobre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2028

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 3 582 000,00

Coordinato da

OULUN YLIOPISTO
Finland

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

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

Pubblicazioni

Peer reviewed articles (2)

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

Autori: Honghan Li, Jinyang Yu, Haijun Wu, Miguel Bordallo López, Yongkun Zhao
Pubblicato in: Biomedical Signal Processing and Control, Numero 115, 2026, ISSN 1746-8094
Editore: 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

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