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A federated learning system for precision oncology in Europe: DigiONE

Nature Medicine volume 30, pages 334–337 (2024)Cite this article

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DigiONE is a pilot European learning health system in precision oncology that aims to identify optimal cancer treatments by learning from every patient, not just those in trials, through privacy-preserving interrogation of their standardized routine electronic health records.

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Author information

Authors and Affiliations

  1. Digital Institute for Cancer Outcomes Research E.E.I.G, Brussels, Belgium

    Piers Mahon & Alberto Traverso

  2. IQVIA Cancer Research BV, Zaventem, Belgium

    Piers Mahon & Xosé Fernández

  3. Illumina Ltd, Cambridge, UK

    Ismini Chatzitheofilou

  4. Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands

    Andre Dekker & Alberto Traverso

  5. Leeds Teaching Hospital NHS Trust, Leeds, UK

    Geoff Hall

  6. DATA-CAN, the Health Data Research UK Hub for Cancer, Leeds, UK

    Geoff Hall

  7. Division for Cancer Medicine, Oslo University Hospital, Oslo, Norway

    Aslaug Helland

  8. IRCCS Ospedale San Raffaele, Milan, Italy

    Alberto Traverso & Giovanni Tonon

  9. Department of Medical Oncology, Institut Roi Albert II, Cliniques Universitaires Saint-Luc, Brussels, Belgium

    Cedric Van Marcke

  10. Pôle Oncologie, Institut de Recherche Clinique et Expérimentale, UCLouvain, Brussels, Belgium

    Cedric Van Marcke

  11. Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department II, Frankfurt, Germany

    Janne Vehreschild

  12. IRCCS National Cancer Center Regina Elena, Rome, Italy

    Gennaro Ciliberto

  13. Università Vita-Salute San Raffaele, Milan, Italy

    Giovanni Tonon

Authors
  1. Piers Mahon
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  2. Ismini Chatzitheofilou
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  3. Andre Dekker
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  4. Xosé Fernández
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  5. Geoff Hall
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  6. Aslaug Helland
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  7. Alberto Traverso
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  8. Cedric Van Marcke
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  9. Janne Vehreschild
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  10. Gennaro Ciliberto
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  11. Giovanni Tonon
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Corresponding author

Correspondence to Piers Mahon.

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Competing interests

P.M. and X.F. are employees of IQVIA. I.C. is an employee of Illumina.

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Mahon, P., Chatzitheofilou, I., Dekker, A. et al. A federated learning system for precision oncology in Europe: DigiONE. Nat Med 30, 334–337 (2024). https://doi.org/10.1038/s41591-023-02715-8

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  • DOI: https://doi.org/10.1038/s41591-023-02715-8

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