Despite the widespread use of complete blood counts (CBC), current interpretation methods often rely on standardized reference intervals, failing to account for patients' individual differences and specific health profiles.
Our research team, utilizing machine learning algorithms, analyzed extensive CBC data to develop personalized blood count ranges, allowing for tailored health assessments and predictions of future disease risks for individual patients.
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