Diabetes & its Complications

Open Access ISSN: 2639-9326

Abstract


Using Artificial Intelligence to Simulate Brain Function, Enhance the Etiology of Diabetes and Cancer, and more Precisely, Effectively and Remotely Screen and Treat the Patient

Authors: Graham Wilfred Ewing.

The steady emergence and evolution of Artificial Intelligence technologies is an area of mathematics which holds immense promise for healthcare. As the body’s physiological parameters are immensely and finely regulated it can, in principle, be mathematically modelled if the mechanism by which the body functions can be understood. This was first achieved by Grakov during the period 1981-1997 when he created a mathematical model of the relationship between sense perception, brain function, the autonomic nervous system and physiological systems, and cellular and molecular biology - which can be used to screen and treat the patient. The author discusses in this
paper how this cognitive technology - known by the brand name ‘Strannik’ - can, in principle, be used to advance the etiology of a wide range of pathologies including diabetes, diabetic comorbidities and cancers; and how it may offer a means of remotely (online) screening and treating patients in the post-CoVid-19 world.

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