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Maxine Mackintosh

Showing results (1-10 of 8) with videos related to

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Nature Communications|July 7, 2023
Optimal strategies for learning multi-ancestry polygenic scores vary across traitsBrieuc Lehmann, Maxine Mackintosh, Gil McVean, et al.
NPJ Digital Medicine|April 8, 2020
Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparencyChristine M Cutillo, Karlie R Sharma, Luca Foschini, et al.
The Lancet. Oncology|June 13, 2025
Equity in cancer genomics in the UK: a cross-sectional analysis of a national cancer cohortT Nguyen, Sam Tallman, Yoonsu Cho, et al.
Nature Reviews. Genetics|May 14, 2025
Methodological opportunities in genomic data analysis to advance health equityBrieuc Lehmann, Leandra Bräuninger, Yoonsu Cho, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
Cambridge Prisms. Precision Medicine|March 29, 2024
The ethical challenges of diversifying genomic data: A qualitative evidence synthesisFaranak Hardcastle, Kate Lyle, Rachel Horton, et al.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nature Communications|July 7, 2023
Optimal strategies for learning multi-ancestry polygenic scores vary across traitsBrieuc Lehmann, Maxine Mackintosh, Gil McVean, et al.
NPJ Digital Medicine|April 8, 2020
Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparencyChristine M Cutillo, Karlie R Sharma, Luca Foschini, et al.
The Lancet. Oncology|June 13, 2025
Equity in cancer genomics in the UK: a cross-sectional analysis of a national cancer cohortT Nguyen, Sam Tallman, Yoonsu Cho, et al.
Nature Reviews. Genetics|May 14, 2025
Methodological opportunities in genomic data analysis to advance health equityBrieuc Lehmann, Leandra Bräuninger, Yoonsu Cho, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
Cambridge Prisms. Precision Medicine|March 29, 2024
The ethical challenges of diversifying genomic data: A qualitative evidence synthesisFaranak Hardcastle, Kate Lyle, Rachel Horton, et al.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 1