Science or non-science? The challenge for medical research — To explain neuro-regulation

Abstract

The aim of the article is to highlight Grakov's mathematical model of the autonomic nervous system, the fundamental concepts which Dr Grakov has deployed in the development of this model, and to illustrate that such model has been incorporated into a developed and validated software technology (Strannik). It is a major dilemma for the medical sciences to explain the complex mechanisms which regulate the body's function. This article highlights a number of scientifically significant issues which are often ignored in medical research yet which have enormous scientific significance e.g. the influence of sensory input and/or light, the influence of stress, that the body's physiological parameters are neurally regulated, the influence of intercellular acidity (pH), and that genetic changes are often the consequence and not solely the cause of autonomic dysfunction. Accordingly, a greater understanding of such factors leads to the first mathematical model of the autonomic nervous system and physiological systems. It incorporates an understanding of the significance of sensory input, in particular of colour perception, and of the functional organisation of the brain and the autonomic nervous system i.e. of neural networks and organ networks (physiological systems). The existence of the Human Brain Project and Brain Initiative effectively provides a specification for a new generation of medical technology. This enables us to illustrate that the Strannik technology developed by I.G. Grakov already meets the specification outlined i.e. that it meets the key aims and objectives of the Human Brain Project. In particular (i) that it can screen patient health in a level of detail and sophistication which is unprecedented in modern medicine i.e. as Strannik Virtual Scanning, and (ii) that it can be deployed with therapeutic effect i.e. as Strannik Light Therapy. This enables us to address fundamental limitations facing researchers because of their reliance upon contemporary biochemical test measurements.