Information Technology: The Future of Cancer Treatment

Project Details

Description

The project aim is to develop a joint platform for the projected modelling of the effect of medication in the treatment of breast cancer.
AcronymITFoC
StatusFinished
Effective start/end date1/02/17 → 31/01/22
Linkshttps://www.rsu.lv/en/project/information-technology-future-cancer-treatment

Collaborative partners

  • French Alternative Energies and Atomic Energy Commission (Project partner) (lead)
  • Rīga Stradiņš University
  • Institut ROCHE
  • Epigenetiks Inc
  • Dahlem Centre for Genome Research and Medical Systems Biology
  • The Inter University Consortium CIRMMP
  • French Bioinformatics Network for NGS Cancer Diagnosis
  • Inserm for the French Medical Informatics Network for Clinical Data Integration and Analysis
  • École des mines Paris
  • SYSBIO Centre of Systems Biology
  • Université de Rennes
  • École normale supérieure
  • GIRCI-GO HUGO federation
  • UNICANCER
  • Giotto Biotech srl
  • Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem University
  • Centre for Innovation in Medicine
  • Department of Automation and Information Technology, Universitatea Transilvania din Brasov
  • Max Planck Institite for Molecular Genetics

Total Funding

  • European Commission: €1,509,168.00

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

Keywords

  • Virtual patient modelling
  • breast cancer
  • holistic omics data
  • innovative clinical practices
  • health economyhealth economy
  • policy & guidelines

Field of Science

  • 3.3 Health sciences

Smart Specialization Area

  • Biomedicine, medical technologies and biotechnology

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  • A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

    Tsopra, R. (Corresponding Author), Fernandez, X., Luchinat, C., Alberghina, L., Lehrach, H., Vanoni, M., Dreher, F., Sezerman, O. U. S., Cuggia, M., de Tayrac, M., Miklaševičs, E., Itu, L. M., Geanta , M., Ogilvie, L., Godey, F., Boldisor, C. N., Campillo-Gimenez , B., Cioroboiu, C., Ciusdel, C. F. & Coman , S. & 14 others, Cubelos, O. H., Itu, A., Lange, B., Le Gallo, M., Lespagnol, A., Mauri , G., Soykam, H. O., Rance , B., Turano, P., Tenori, L., Vignoli, A., Wierling , C., Benhabiles, N. & Burgun, A., 2 Oct 2021, In: BMC Medical Informatics and Decision Making. 21, 1, 14 p., 274.

    Research output: Contribution to journal › Article › peer-review

    Open Access
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    51 Citations (Scopus)
    7 Downloads (Pure)