Recommendations for Validating Omics Prediction Models: Insights from a Lung Cancer RNA Biomarker Study
By highlighting practical issues in model validation and providing recommendations, this study supports more reliable and clinically applicable biomarker-based prediction models, ultimately aiding cancer screening and prevention efforts.
Authors
- Ilona Urbárová (ORCID: https://orcid.org/0000-0001-6626-2917)
- Oluf Dimitri Røe (ORCID: https://orcid.org/0000-0002-4870-5822)
- Trine B. Rounge (ORCID: https://orcid.org/0000-0003-2677-2722)
- Renée T. Fortner (ORCID: https://orcid.org/0000-0002-1426-8505)
- Therese Haugdahl Nøst (ORCID: https://orcid.org/0000-0001-6805-3094)
- Hilde Langseth (ORCID: https://orcid.org/0000-0002-9446-4855)
- Luca Pestarino (ORCID: https://orcid.org/0000-0001-7097-2954)
- Ioannis Fotopoulos (ORCID: https://orcid.org/0009-0006-3398-3498)
Institutions
- Oslo University Hospital (NO)
- University of Crete (GR)
- German Cancer Research Center (DE)
- University of Oslo (NO)
- Norwegian University of Science and Technology (NO)
- Heidelberg University (DE)
- Levanger Hospital (NO)
- Cancer Registry of Norway (NO)
- Imperial College London (GB)
- UiT The Arctic University of Norway (NO)
Publication Details
- Journal
- Cancer Epidemiology Biomarkers & Prevention
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1158/1055-9965.epi-25-0787
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Norwegian Sequencing Centre
- Universitetet i Oslo
- Norges Forskningsråd