Ethical layering in AI-driven polygenic risk scores—New complexities, new challenges

Researchers aim to develop polygenic risk scores as a tool to prevent and more effectively treat serious diseases, disorders and conditions such as breast cancer, type 2 diabetes mellitus and coronary heart disease. Recently, machine learning techniques, in particular deep neural networks, have been...

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Detalles Bibliográficos
Autores principales: Fritzsche, Marie-Christine, Akyüz, Kaya, Cano Abadía, Mónica, McLennan, Stuart, Marttinen, Pekka, Mayrhofer, Michaela Th., Buyx, Alena M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933509/
https://www.ncbi.nlm.nih.gov/pubmed/36816027
http://dx.doi.org/10.3389/fgene.2023.1098439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933509/
https://www.ncbi.nlm.nih.gov/pubmed/36816027
http://dx.doi.org/10.3389/fgene.2023.1098439

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