New study reveals disparities in the predictive performance of US-based type 2 diabetes risk scores between non-Hispanic Blacks and non-Hispanic Whites

#### Credit: The image was AI-created using DALL·E by OpenAI. Tibor V. Varga owns the image, including the right to reprint, sell, and merchandise (Usage Rights in https://labs.openai.com/about). The image is distributed under the CC-BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) #### Article URL: https://journals.plos.org/climate/article?id=10.1371/journal.pgph.0001556 Article Title: Assessing racial bias in type 2 diabetes risk prediction algorithms Author […]

May 17, 2023 - 20:00

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Credit: The image was AI-created using DALL·E by OpenAI. Tibor V. Varga owns the image, including the right to reprint, sell, and merchandise (Usage Rights in https://labs.openai.com/about). The image is distributed under the CC-BY 4.0 license (https://creativecommons.org/licenses/by/4.0/)

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Article URL: https://journals.plos.org/climate/article?id=10.1371/journal.pgph.0001556

Article Title: Assessing racial bias in type 2 diabetes risk prediction algorithms

Author Countries: Denmark

Funding: HTC and AK are supported by a grant from Novo Nordisk Foundation Challenge Programme for the project Harnessing the Power of Big Data to Address the Societal Challenge of Aging (NNF17OC0027812). TOA is supported by a grant from the Independent Research Fund Denmark (7025-00005B). TVV is supported by the “Data Science Investigator – Emerging 2022” grant from Novo Nordisk Foundation (NNF22OC0075284). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.