Evidence map›Paper›PMID 36504698›Full record

ArticleNature machine intelligence2022

Federated learning and Indigenous genomic data sovereignty.

Nima Boscarino, Reed A Cartwright, Keolu Fox, Krystal S Tsosie

Abstract read
In one paragraph

Article in Nature machine intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nima BoscarinoHugging Face, Brooklyn, New York, NY, USA.ORCID 0000-0001-6429-6726
Reed A CartwrightThe Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-0837-9380
Keolu FoxDepartment of Anthropology and Global Health, University of California, San Diego, La Jolla, CA, USA.
Krystal S TsosieSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-7291-670X

Funding

The Sulston Project: making the knowledge commons for interpreting cancer genomic variants more effectiveR01CA237118 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI COOK-DEEGAN, ROBERT MULLAN, MCGUIRE, AMY L · 2019 to 2022
$2.4M
NCI NIH HHS R01 CA237118
6 · The paper itself

Abstract

Indigenous peoples are under-represented in genomic datasets, which can lead to limited accuracy and utility of machine learning models in precision health. While open data sharing undermines rights of Indigenous communities to govern data decisions, federated learning may facilitate secure and community-consented data sharing.

Identifiers

PMID36504698
PMCPMC9731328

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.