A Human Health Risk Analysis by Means of Organs and Organism Computer Models Describing Overall Cellular Adaptation Mechanism. R. D. Grygoryan, K. L. Atoyev, and E. S. Podlasov, Cybernetics center of National Academy of Sciences, Ukraine
A new methodology of human health reliability estimation and a risk of its pathological shifts analysis is proposed. It is based on specific computer realized mathematical models that describing fundamental mechanisms of biochemical and structural cellular and subcellular adaptation.
There are four principally new aspects. The first, a specific function of every organ is simulated using their multicellular structure and phase state of cells within their life cycle. The second, the cell function is simulated as a autonomic act. The third, cellular adaptation common and specific mechanisms are simulated taking into account dynamics of energetic and material flows within every autonomic act. At last, the risk estimation is carried out with the help of the theory of smooth functions allowing determine critical values of parameters describing levels of loading and cellular reserve possibilities. The realization of this approach allows to estimate dynamics of cellular pathological shifts risk by means of mathematical modeling.
Models of organs are linked within one whole organism model which also includes description of time delays of transport processes.
As a measure of organ’s reliability we use the difference between quantity of working cells and quantity of cells minimal needed by organ to be able to provide actual function power. According to this definition, risk of organ’s disjunction will appear when this quantity of cells is approaching to the mentioned above minimal level or even getting lower.
Computer modeling allow us to simulate changes of organism functional reliability and to estimate health risk under different functional loading, to find the weak section (organ or organs). It also gives us an opportunity to control and manage these characteristics using specific stimulators of structural adaptation.
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