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Data Bias

Meaning

Data Bias refers to systematic errors introduced during the collection, processing, or analysis of health data that leads to results that unfairly favor or disfavor specific populations, potentially skewing clinical insights and recommendations. In the hormonal health domain, this bias can manifest when clinical trials or wellness algorithms are predominantly based on data from one gender, ethnicity, or age group, resulting in diagnostic inaccuracies or suboptimal treatment protocols for underrepresented individuals. Recognizing and mitigating this bias is essential for achieving true precision medicine and equitable health outcomes. It undermines the goal of truly personalized hormonal care.