Blood tests are currently one-size-fits-all − machine learning can pinpoint what’s truly ‘normal’ for each patient

Cracking the Code of Your Blood: Personalized Normal for Better Healthcare

We all know that feeling of dread when a doctor orders a blood test. We nervously await the results, hoping for good news. But have you ever wondered what makes a blood test result "normal"?

Traditionally, doctors rely on population-based reference intervals – the middle 95% of healthy values – to determine what’s considered normal for everyone. But what if your normal is different?

A groundbreaking study published in Nature reveals that individual normal ranges for blood counts are three times smaller than population-based averages.

The New Frontier in Personalized Medicine:

This means that your genetic makeup and environment play a significant role in determining your set point for blood markers such as hemoglobin, platelets, and white blood cell counts.

Using machine learning, the researchers analyzed data from tens of thousands of patients and discovered these individual set points.

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