This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Ethical, Legal, and Social Issues in AI (102) Responsible Health AI (54) Focus Groups and Qualitative Research for Human Factors Research (1220) Validity, Reliability, and Bias (110) Gender Dysphoria and Transgender Issue (28) LGBTQ Issues (543) Precision Medicine (159)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72325, first published .
Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members

Authors of this article:

Nataly Buslón1 Author Orcid Image ;   Davide Cirillo2 Author Orcid Image ;   Oriol Rios3, 4 Author Orcid Image ;   Simón Perera del Rosario4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (13) Metrics

Nataly Buslón   1 , PhD ;   Davide Cirillo   2 , PhD ;   Oriol Rios   3, 4 , PhD ;   Simón Perera del Rosario   4, 5 , MSc

1 Social and Responsible Computing, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain

2 Bioinfo4Women, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain

3 Facultat de Ciències de l’Educació i Psicologia, Universitat Rovira i Virgili, Tarragona, Spain

4 Association for Affective, Sexual and Gender Diversity in Science, Technology and Innovation (PRISMA), Pamplona, Spain

5 Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain

Corresponding Author:

  • Nataly Buslón, PhD
  • Social and Responsible Computing, Department of Engineering
  • Universitat Pompeu Fabra
  • Tànger, 122-140
  • Barcelona 08018
  • Spain
  • Phone: +34 935 42 22 01
  • Email: nataly.buslon@upf.edu