In the rapidly advancing field of precision medicine, where treatments are tailored to an individual’s genetic makeup, a glaring issue remains largely unaddressed—the lack of diversity in genomic research. The vast majority of genomic data used in medical studies comes from individuals of European descent, leaving large segments of the global population underrepresented. This disparity not only limits scientific understanding but also creates inequities in healthcare outcomes. Recent advancements in machine learning and efforts to diversify genomic datasets are poised to bridge this gap. However, without a concerted push for inclusivity, the promise of precision medicine risks becoming a privilege rather than a universal benefit.
Breaking the Bias: How Precision Medicine Can Overcome Ancestral Disparities

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