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Data-driven science and diversity in the All of Us Research Program.

Publication ,  Journal Article
Ginsburg, GS; Denny, JC; Schully, SD
Published in: Sci Transl Med
December 13, 2023

The National Institutes of Health's All of Us Research Program is an accessible platform that hosts genomic and phenotypic data to be collected from 1 million participants in the United States. Its mission is to accelerate medical research and clinical breakthroughs with a special emphasis on diversity.

Duke Scholars

Published In

Sci Transl Med

DOI

EISSN

1946-6242

Publication Date

December 13, 2023

Volume

15

Issue

726

Start / End Page

eade9214

Location

United States

Related Subject Headings

  • United States
  • Population Health
  • National Institutes of Health (U.S.)
  • Humans
  • Data Science
  • Biomedical Research
  • 4003 Biomedical engineering
  • 3206 Medical biotechnology
 

Citation

APA
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ICMJE
MLA
NLM
Ginsburg, G. S., Denny, J. C., & Schully, S. D. (2023). Data-driven science and diversity in the All of Us Research Program. Sci Transl Med, 15(726), eade9214. https://doi.org/10.1126/scitranslmed.ade9214
Ginsburg, Geoffrey S., Joshua C. Denny, and Sheri D. Schully. “Data-driven science and diversity in the All of Us Research Program.Sci Transl Med 15, no. 726 (December 13, 2023): eade9214. https://doi.org/10.1126/scitranslmed.ade9214.
Ginsburg GS, Denny JC, Schully SD. Data-driven science and diversity in the All of Us Research Program. Sci Transl Med. 2023 Dec 13;15(726):eade9214.
Ginsburg, Geoffrey S., et al. “Data-driven science and diversity in the All of Us Research Program.Sci Transl Med, vol. 15, no. 726, Dec. 2023, p. eade9214. Pubmed, doi:10.1126/scitranslmed.ade9214.
Ginsburg GS, Denny JC, Schully SD. Data-driven science and diversity in the All of Us Research Program. Sci Transl Med. 2023 Dec 13;15(726):eade9214.

Published In

Sci Transl Med

DOI

EISSN

1946-6242

Publication Date

December 13, 2023

Volume

15

Issue

726

Start / End Page

eade9214

Location

United States

Related Subject Headings

  • United States
  • Population Health
  • National Institutes of Health (U.S.)
  • Humans
  • Data Science
  • Biomedical Research
  • 4003 Biomedical engineering
  • 3206 Medical biotechnology