An Evaluation of COVID-19 Infected Patients Using the Strannik Virtual Scanning Test

Abstract

The medical profession lacks a screening modality which can provide a rapid and inexpensive screen of the patient’s health. The Strannik technology – which is based upon a mathematical model of the digital relationship between sense perception, brain function, the stable and coherent function of the autonomic nervous system and/or physiological systems, and cellular and molecular biology – has been proposed for this task. An opportunity arose to evaluate how the Strannik Virtual Scanning (SVS) test was able to determine the pathological correlates of two patients who had recently been diagnosed, using a lateral flow test, with COVID-19. This report illustrates how, in the hands of trained and competent practitioners, this test was able to precisely determine the complex range of pathological correlates which had evolved in these patients over many years including the pathological correlates or comorbidities arising from the infection. It reports the many and various medical conditions known to be of concern to the two patients, which were correctly determined by the SVS test, and also indicates how COVID-19 influences the function of the nose, brain, and conceivably also the heart, lungs, kidneys and liver. Nevertheless, it should be noted that the two patients are not severely affected or inconvenienced by the COVID-19 viral infection and hence that the scale of the medical conditions in these patients are evident but are not especially pronounced. It presents to the NHS an excellent and inexpensive way to screen the health of most patients e.g. it could be possible to screen the complex genetic and phenotypic profile in >50M of the UK’s ca 65+M population for ca £3BN pa and it solves the problem identified by McShane that the NHS does not currently have the technological capacity to inexpensively screen and treat patients who have complex multi-systemic and multi-pathological conditions.