Work

Systematic decision frameworks for the socially responsible use of precision medicine

Year: 2024

Type: article

Abstract: Deep learning techniques and whole-genome sequencing promise to increase well-being but also risk perpetuating psychological essentialism, potentially justifying inequality. In this Comment, we offer two much-needed systematic frameworks for clinicians and researchers to avoid essentialist inferences and unfair treatment: (1) a data-driven method for detecting causal fairness in precision health and (2) an ethical framework for determining when it is morally permissible to use racial classifications in population health research.

Source: npj Genomic Medicine

DOI: 10.1038/s41525-024-00433-9

Authors: Ian S. Peebles, David B. Kinney, Emily Foster-Hanson

Institutions: Arizona State University, Washington University in St. Louis, Swarthmore College

Language: English

Topic: Race, Genetics, and Society

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: gold

Estimated APC paid: $3,890