ReviewAnnual review of biomedical data science2026
Reclaiming Data, Restoring Health: The Indigenous Biomedical Data Science Renaissance.
Review in Annual review of biomedical data science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Indigenous Peoples are leading a renaissance in biomedical data science. Throughout this narrative review, we highlight advancements from leaders in this renaissance across four phases of biomedical data science: ethics and values that inform research, data harmonization, model development and assessment, and commercialization. In addition, we synthesize five teachings that advance biomedical data science: Indigenous sovereignty, ethical stewardship, relationality and trust, community prioritization, and Indigenous worldviews. We conclude with considerations for all biomedical data scientists, Indigenous People in biomedical data science, and Indigenous leaders leveraging biomedical data science to advance Indigenous health and well-being. This renaissance offers a road map for global biomedical systems to evolve beyond colonial legacies toward practices that uphold self-determination, restore balance, embody relationality, and promote the well-being of human and nonhuman kin.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.