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Updated: Jul 22, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
Two researchers share how their cross disciplinary collaboration enables work to guide the future of data science
Maggie Delano1, Kendra Albert2
1Swarthmore College, Swarthmore, PA, USA.
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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