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

Smith, Leslie A; Cahill, James A; Graim, Kiley

Smith, Leslie A; Cahill, James A; Graim, Kiley.

Afiliação

Smith LA; Department of Computer & Information Science & Engineering, University of Florida, 432 Newell Dr, Gainesville, 32611, FL, USA.
Cahill JA; Environmental Engineering Sciences Department, University of Florida, 432 Newell Dr, Gainesville, 32611, FL, USA.
Graim K; Department of Computer & Information Science & Engineering, University of Florida, 432 Newell Dr, Gainesville, 32611, FL, USA.

Res Sq ; 2023 Jul 27.

Article em En | MEDLINE | ID: mdl-37546907

Palavras-chave

ancestry; artificial intelligence; cancer; equitable AI; genomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Res Sq Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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