How Our Technology Works

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Operating Manual (pdf document)

The following case studies are in Adobe Acrobat format: Case Studies and Testimonials

The Russian researcher Dr Igor Gennadyevich Grakov has mathematically modelled the consequences of sensory input upon the autonomic nervous system and the physiological systems i.e. a mathematical model of the physiological systems. It is upon this model that Strannik Virtual Scanning (SVS) is based. Nobel Laureate Professor Eric Kandel has written of the theoretical void which exists between cognition and cellular biology. This is Dr Grakov's area of research and knowledge. His is the first recognition of the processes which the body uses to (naturally) regulate its function. This knowledge has screening and therapeutic significance.

Strannik is a games-like, digital, software, medical technology which is based upon a mathematical model of the autonomic nervous system and physiological systems. It meets the objectives of the Human Brain Project - for a unified, multi-level understanding of how the human brain integrates the flow of pathological data from the viscera - in other words how the brain regulates the body's function. Like any mathematical model it requires data input; in this case provided by measurements of colour perception, which are derived from the unique Strannik Virtual Scanning (SVS) test, and by the input of personal parameters in particular age, weight and gender.

Sensory input is a biochemical process. Accordingly the cumulative effect of multi-sensory input, often experienced as stress, has biochemical consequences and influences the function of the autonomic nervous system. Altered visual perception, of colour and of visual contrast, is associated with disease states and the use of drugs i.e. changes of colour perception have pathological origins. It is therefore associated with the function of the autonomic nervous system and the onset of pathologies. This involves the level of protein expression (genotype) and the rate at which proteins react (phenotype) - each pathology being linked to different proteins and altered reaction conditions. Accordingly a cognitive test of colour perception can be linked to the onset of pathologies and used as a screening principle i.e. for the diagnosis of all common pathologies. This phenomenon has enormous scientific significance.

The SVS test procedure requires the patient to memorise the colours in a short video and then, after 15 seconds when the colour filter is imposed, to recover as best they can the original colour balance using the mouse and a colour palette which appears at the base of the screen. The patient selects colours by clicking on the mouse in order to increase or decrease colour in their efforts to recover the original colour balance. Each task takes abt 2 minutes. The test takes abt 10 minutes in total.

The results are reported in different levels of significance: At the level of the systems showing the most destabilised systems and organs. At the cellular level illustrating the existence of cellular changes in each organ which are associated with for example cancerous tumour. And at the molecular level where the test can determine the extent of each individual pathology from its earliest presymptomatic onset; distinguish between the genetic and phenotypic elements of each pathology; and determine the range of comorbidities in every organ. Each test is able to determine the 5 - 15 pathologies in each of the 30 main organs. There is no other comparable technology. It is without precedent in modern medicine.

Initial indications are that it is typically 2-23% more accurate than the range of contemporary screening tests which are routinely used in clinical testing. It complements routine methods e.g. histopathology testing, genetic screening and biomarkers. It is an ideal technology for the routine mass screening of patients for example for lifestyle-related conditions and has the potential to reduce the need for medical testing - and at an estimated 5-10 times lower cost. No other technology offers such capability.

Using the data from the test the technology is able to provide a light therapy which is specific to each person's symptoms. This is a form of biofeedback called Strannik Light Therapy (SLT). Initial indications are that it is typically 83-96% effective treating a wide range of common pathologies. Such a high level of efficacy could only be possible if indeed this technology is based upon an advanced level of understanding of how the autonomic nervous system functions.
Read more about how Strannik Light Therapy works (pdf document).

The ability of the technology to diagnose and contribute to an improved understanding of diabetes, cardiovascular conditions, migraine, developmental dyslexia, regressive autism, and sleep apnoea, is reported in our bibliography. Further information about Strannik Virtual Scanning (SVS) and Virtual scanner Light Therapy is reported in over 50 medical articles which have been published in internationally peer-reviewed medical journals (see bibliography).