Article

Equitable machine learning counteracts ancestral bias in precision medicine, improving outcomes for all

2023-07-27

Abstract excerpt

<title>Abstract</title> <p>Gold standard genomic datasets severely under-represent non-European populations, leading to inequities and a limited understanding of human disease [1–8]. Therapeutics and outcomes remain hidden because we lack insights that we could gain from analyzing ancestry-unbiased genomic data. To address this significant gap, we present PhyloFrame, the first-ever machine learning method for equ...

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Literature Corpus work: 29d7cb47-b4f1-5141-bcca-b7fb179eef4f
DOI: 10.21203/rs.3.rs-3168446/v1

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