Systematic decision frameworks for the socially responsible use of precision medicine.

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.

Toward more diverse, inclusive, and equitable neuromodulation.

Racial and ethnic disparities exist for many nervous system disorders that are intervention targets for neuromodulation investigators. Yet, to date, there has been both a lack of racial and ethnic diversity and a lack of emphasis on diversity in neuromodulation research. In this paper, we suggest three potential reasons for the lack of racial and ethnic diversity in neuromodulation research: 1) the lack of diversity in the neuromodulation workforce, 2) incompatibility between the technologies employed and phenotypic traits (e.