INTERVENE

Project Details

Short titleINTERVENE
StatusActive
Effective start/end date01/01/202131/12/2025

Collaborative partners

  • Aalto University (lead)
  • Biobanking and BioMolecular Resources Research and Infrastructure Consortium (BBMRI-ERIC) (Joint applicant)
  • CSC-Tieteen tietotekniikan keskus Oy (Joint applicant)
  • European Cancer Patient Coalition (Joint applicant)
  • European Molecular Biology Laboratory (EMBL) (Joint applicant)
  • Helsingin yliopisto (Joint applicant)
  • IBM RESEARCH GMBH (Joint applicant)
  • The General Hospital Corporation - Massachusetts General Hospital (Joint applicant)
  • Università degli Studi di Torino (Joint applicant)
  • University of Cambridge (Joint applicant)
  • Euroopan komissio - European Commission (Project partner)
  • Norwegian University of Science and Technology (NTNU) (Joint applicant)
  • Technische Universität München (TUM) (Joint applicant)
  • Università di Siena - University of Siena (Joint applicant)
  • University of Tartu (Joint applicant)
  • Hasso-Plattner-Institut für Digital Engineering GmbH (Joint applicant)
  • HUS-yhtymä (Joint applicant)
  • ttopstart B.V. (Joint applicant)

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Clustering Nursing Sentences-Comparing Three Sentence Embedding Methods

    Moen, H., Suhonen, H., Salanterä, S., Salakoski, T. & Peltonen, L. M., 25 May 2022, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Seroussi, B., Weber, P., Dhombres, F., Grouin, C., Liebe, J-D., Liebe, J-D., Liebe, J-D., Pelayo, S., Pinna, A., Rance, B., Rance, B., Sacchi, L., Ugon, A., Ugon, A., Benis, A. & Gallos, P. (eds.). IOS Press, p. 854-858 5 p. (Studies in Health Technology and Informatics; vol. 294).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    41 Downloads (Pure)
  • Contextualized Graph Embeddings for Adverse Drug Event Detection

    Gao, Y., Ji, S., Zhang, T., Tiwari, P. & Marttinen, P., 2022, (Accepted/In press) Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    File
    19 Downloads (Pure)
  • Deep learning for depression recognition with audiovisual cues: A review

    He, L., Niu, M., Tiwari, P., Marttinen, P., Su, R., Jiang, J., Guo, C., Wang, H., Ding, S., Wang, Z., Pan, X. & Dang, W., Apr 2022, In: Information Fusion. 80, p. 56-86 31 p.

    Research output: Contribution to journalReview Articlepeer-review

    Open Access
    32 Citations (Scopus)