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Analyzing ZYTO Reports

ZYTO report data is used as one piece of the puzzle you are assembling on behalf of your client.
When making a differential diagnosis, more information helps practitioners through the process of
investigation, comparison, and elimination.

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Consider what you already know

Before running a ZYTO scan, consider what you already know about your client. This may guide your decisions about what to scan for and what responses you might expect.

You may consider the following:

  • Main Complaints
  • Health History
  • Physical Exam
  • Blood Panel
  • Digital Imaging
  • ZYTO Scan

ZYTO technology facilitates more comprehensive data gathering.

Look for clues
Clues will become obvious when you begin to look for patterns, relationships, and trends. Learning to ask effective questions about the data will help draw out these clues when integrating ZYTO reports into your findings.
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Patterns
Looking at the original dR values of the stressors or biomarkers, is there a stair-step effect? For example, in this report, the dR values of some Virtual Items are grouped around 80, the next most out-of-range group settled around 40, and a third group was around 20. These might represent a pattern of energetic priority.
How does the stressor dR compare to the range value? A dR of 60 compared to a range of 40 is less significant than a dR of 25 when the range value is 2.5. The further a stressor dR value is from the range, the more significant the stressor typically is for that person.
If a wide range of products were scanned as balancer Virtual Items, do the preferred products tend to share a common category or indication? In this report, we can see that 4 out of the 6 products effect the respiratory system.
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Relationships
Based on your training, how do the organs or systems represented by the out-of-range biomarkers affect one another? Remember to go to the Vectors tab to see the energetic correlations between organs, vertebrae, teeth, and TCM meridians.
Do these effects correlate with the other information you have collected about the individual, including emotional health?
How do the preferred product and service balancers correlate to the stressor Virtual Items or biomarker patterns?
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Trends

From scan to scan, are there stressor Virtual Items that are commonly difficult to bring into range?

Do the same food Virtual Items show up repeatedly? How do clients feel when these foods are removed from their diet?

In subsequent scans, do you see biologically preferred products that support similar systems (e.g., immune enhancement, cardiovascular support, detoxification, etc.)?

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