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

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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Bibliographic Details
Main Authors: Marie-Christine Fritzsche, Kaya Akyüz, Mónica Cano Abadía, Stuart McLennan, Pekka Marttinen, Michaela Th. Mayrhofer, Alena M. Buyx
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Genetics
Subjects:
genomics
polygenic risk score
deep neural network (DNN)
machine learning (ML)
artificial intelligence–AI
stratification
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1098439/full

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https://www.frontiersin.org/articles/10.3389/fgene.2023.1098439/full

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