<p>The Bioinfo4Women research working group on sex and gender bias in healthcare and AI</p>

Àtia  Cortés; Nataly  Buslón; Davide  Cirillo; Victoria Ruiz Serra; Diego  Saby; Uciel  Chorostecki; Fatemeh  Baghdadi; Olivier Philippe; Camila Pontes; Maria Morales; Ana Dueso; Ignasi  Puch; Othmane Hayoun-Mya; Maria Sopena-Rios; Roc  Farriol; Lidia López; Beatriz Urda; Eva Alloza; Maria José Rementeria

doi:10.7490/f1000research.1119335.1

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Cortés À, Buslón N, Cirillo D et al. The Bioinfo4Women research working group on sex and gender bias in healthcare and AI [version 1; not peer reviewed]. F1000Research 2022, 11:1559 (poster) (https://doi.org/10.7490/f1000research.1119335.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

The Bioinfo4Women research working group on sex and gender bias in healthcare and AI

Àtia Cortés¹, Nataly Buslón¹, Davide Cirillo¹, Victoria Ruiz Serra, Diego Saby, Uciel Chorostecki, Fatemeh Baghdadi, Olivier Philippe, Camila Pontes, Maria Morales, Ana Dueso, Ignasi Puch, Othmane Hayoun-Mya, Maria Sopena-Rios, Roc Farriol, Lidia López, Beatriz Urda, Eva Alloza, Maria José Rementeria¹

Published 22 Dec 2022 (https://doi.org/10.7490/f1000research.1119335.1)

Author Affiliations

¹ Barcelona Supercomputing Center, Spain

Copyright © 2022 Cortés À et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 22 Dec 2022

The Bioinfo4Women research working group on sex and gender bias in healthcare and AI
[version 1; not peer reviewed]

Author Affiliations

¹ Barcelona Supercomputing Center, Spain

Presented at

European Conference on Computational Biology (ECCB) 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

precision medicine, artificial intelligence, gender bias, responsible AI

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