Two researchers share how their cross disciplinary collaboration enables work to guide the future of data science

Patterns (N Y). 2022 Aug 12;3(8):100573. doi: 10.1016/j.patter.2022.100573.

Abstract

In their recent perspective published in Patterns, Maggie Delano and Kendra Albert highlight the limitations of sex and gender data classification in health systems and show how this contributes to the marginalization of trans and non-binary individuals. They provide recommendations to improve incorporating gender data into healthcare algorithms. Here they discuss their collaboration and how it enabled this cross-disciplinary research.

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  • News