Work

Session Introduction: Overcoming health disparities in precision medicine

Year: 2023

Type: conference-paper

Abstract: The following sections are included:OverviewDealing with the lack of diversity in current research datasetsDevelopment of fair machine learning algorithmsRace, genetic ancestry, and population structureConclusionAcknowledgments.

Source: Pacific Symposium on Biocomputing (PSB)

DOI: 10.1142/9789811286421_0025

Authors: Francisco M. De La Vega, Kathleen C. Barnes, Keolu Fox, Alexander Ioannidis, Eimear Kenny, Rasika A. Mathias, Bogdan Pasaniuc

Institutions: Tempus Labs (United States), Galatea Bio (United States), University of California San Diego, Stanford Medicine, Stanford University, Icahn School of Medicine at Mount Sinai, Johns Hopkins University, Johns Hopkins Medicine, University of California, Los Angeles

Language: English

Topic: Race, Genetics, and Society

Subfield: Anthropology

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4389869803

FWCI:

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