Case Study: The Determination of a Complex Multi-Systemic Medical Condition by a Cognitive, Virtual Scanning Technique


The study of various medical conditions is limited by the current state of knowledge. New tech-nologies enable researchers to advance their understanding of various medical conditions and to advance their understanding of particular pathologies. Strannik Virtual Scanning (SVS) is such a technology. SVS is able to determine the genetic and non-genetic components of every pathology in each of the 30 main organs, and it is able to determine the onset of pathologies at a much earlier stage than any other technologies or techniques. This makes it an ideal tool to screen for the onset and progression of pathologies which are implicated in multi-systemic conditions and to determine the spectrum of pathologies i.e. comorbidities which are involved in diabetes, cardiovascular disease, migraine, chronic fatigue syndrome, fibromyalgia, depression, chronic kidney disease, etc. This case study illustrates how the technology can be usefully and cost-effectively deployed to determine the spectrum of pathologies which characterise Reynaud’s phenomenon. This includes pathologies in the liver and kidneys e.g. portal hypertension, renal insufficiency, nephritis, liver insufficiency, pre-symptomatic onset of heart attack, presymptomatic indications of dementia, pancreatic cancer, and ovarian cancer, which are difficult to diagnose and/or for which there is currently an unmet clinical need.

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Ewing, G. (2015) Case Study: The Determination of a Complex Multi-Systemic Medical Condition by a Cognitive, Virtual Scanning Technique. Case Reports in Clinical Medicine, 4, 209-221. doi: 10.4236/crcm.2015.46042.

Conflicts of Interest

The authors declare no conflicts of interest.


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