Data science: The need for health equity
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"Biomedical datasets are biased towards Western white rich men typically. This means that historically underserved groups are less likely to be represented in the data."
Today on The G Word, Maxine Mackintosh, the Programme Lead for Diverse Data at Genomics England, is joined by Alisha Davies from Public Health Wales and the Alan Turing Institute, and Brieuc Lehmann, from UCL, and both of whom are involved in the data science for Health Equity community.
They discuss the role of data and data science in promoting and improving health equity. They also talk about the lack of representation and diversity in genome research and how and why this must change.
Data science: The need for health equity