From Big data to new science and practical solutions

Projektinformationen

Data4Healthcare

ID Finanzhilfevereinbarung: 101126602

DOI

10.3030/101126602

EK-Unterschriftsdatum 18 Oktober 2023

Startdatum 1 Januar 2024

Enddatum 31 Dezember 2028

Finanziert unter

• Marie Skłodowska-Curie Actions (MSCA)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 3 582 000,00

Koordiniert durch

OULUN YLIOPISTO
Finland

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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

Veröffentlichungen

Peer reviewed articles (2)

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

Autoren: Honghan Li, Jinyang Yu, Haijun Wu, Miguel Bordallo López, Yongkun Zhao
Veröffentlicht in: Biomedical Signal Processing and Control, Ausgabe 115, 2026, ISSN 1746-8094
Herausgeber: 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

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