TY - JOUR
T1 - Systematic decision frameworks for the socially responsible use of precision medicine
AU - Peebles, Ian S.
AU - Kinney, David B.
AU - Foster-Hanson, Emily
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85205972864
U2 - 10.1038/s41525-024-00433-9
DO - 10.1038/s41525-024-00433-9
M3 - Comment/debate
C2 - 39369024
AN - SCOPUS:85205972864
SN - 2056-7944
VL - 9
JO - npj Genomic Medicine
JF - npj Genomic Medicine
IS - 1
M1 - 46
ER -