Missing ancestry data in single-cell atlases threatens fair medicine
Researchers at Mount Sinai have found that single-cell atlases used for medical research and AI training often lack diverse ancestry data. This omission poses a significant risk to the fairness and accuracy of future medical treatments.
Why it matters
Ensuring diverse representation in medical datasets is critical to preventing algorithmic bias and ensuring healthcare equity across different populations.
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