- Titel:
Ethical layering in AI-driven polygenic risk scores_New complexities, new challenges
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Fritzsche, Marie-Christine ; Akyüz, Kaya ; Cano Abadía, Mónica ; McLennan, Stuart ; Marttinen, Pekka ; Mayrhofer, Michaela Th. ; Buyx, Alena M.
- Stichworte:
- Genetics ; genomics ; polygenic risk score ; deep neural network (DNN) ; machine learning (ML) ; artificial intelligence-AI ; stratification ; predictive medicine ; ethical
- Zeitschriftentitel:
- Frontiers in Genetics
- Jahr:
- 2023
- Band / Volume:
- 14
- Volltext / DOI:
- doi:10.3389/fgene.2023.1098439
- Verlag / Institution:
- Frontiers Media S.A.
- E-ISSN:
- 1664-8021
- Publikationsdatum:
- 26.01.2023
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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