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An AI-Health infrastructure for the Nordic region: technical foundations, data assets, and a roadmap for deployment
AAI

An AI-Health infrastructure for the Nordic region: technical foundations, data assets, and a roadmap for deployment

  • August 14, 2026

Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway

Ole A. Andreassen, Hakon Heimer & Olav B. Smeland

Institute of Clinical Medicine, University of Oslo, Oslo, Norway

Ole A. Andreassen, Anders M. Dale & Olav B. Smeland

Institute of Biological Psychiatry, Mental Health Services, Amager and Hvidovre Hospital, Copenhagen University Hospital, Roskilde, Denmark

Hakon Heimer & Thomas Werge

Centre for Healthy Brain Aging, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK

Dag Aarsland

Centre for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway

Dag Aarsland

J. Craig Venter Institute, San Diego, CA, USA

Anders M. Dale

Amgen deCODE genetics, Reykjavik, Iceland

Daníel Gudbjartsson & Hreinn Stefánsson

Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Region Västra Götaland, Sweden

Bo Jacobsson

Department of Obstetrics and Gynecology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden

Bo Jacobsson

Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Institute of Public Health, Oslo, Norway

Bo Jacobsson

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

Ingrid Kockum

Department of Gene Technology, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden

Tuuli Lappalainen

New York Genome Center, New York, NY, USA

Tuuli Lappalainen

Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia

Andres Metspalu & Lili Milani

Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway

Pål R. Njølstad & Marc Vaudel

Department of Pediatric and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway

Pål R. Njølstad

Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health, University of Copenhagen, Copenhagen, Denmark

Pål R. Njølstad

Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland

Aarno Palotie, Samuli Ripatti & Olli Kallioniemi

Medical Affairs and Health Impact, AbbVie Scandinavia, Oslo, Norway

Anders Sandvik

University of Iceland, Reykjavik, Iceland

Kári Stefánsson

Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway

Marc Vaudel

Institute of Computer Science, University of Tartu, Tartu, Estonia

Jaak Vilo

STACC, Tartu, Estonia

Jaak Vilo

Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

Thomas Werge

Department of Public Health, Section for Health Data Science and AI, Copenhagen University, Copenhagen, Denmark

Søren Brunak

Department of Oncology–Pathology, Karolinska Institutet, Stockholm, Sweden

Olli Kallioniemi

  • Tags:
  • AI
  • Artificial Intelligence
  • Biomedicine
  • Cancer Research
  • diseases
  • General
  • infectious diseases
  • Machine Learning
  • Metabolic Diseases
  • Molecular Medicine
  • Neurosciences
  • Preclinical research
  • risk factors
  • translational research
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