A simulator providing theoretical research of human integrative physiology

R.D. Grygoryan, I.P. Sinitsin, A.G. Degoda, T.V. Lyudovyk, O.I. Yurchak

Abstract


Traditional (empiric) methodology based on direct measurements of fragmentary biological data limits the research of human integrative physiology (IP). Even assistant research based on animal experiments operates with fragmentary data. Therefore, IP’s current concepts, not covering many aspects of IP’s complex dynamics, cannot explain pathophysiological transformations that finally lead to non-trivial diseases. This methodological dead-end requires alternative research technology. This article presents a technology and software (SimHIP), widening the research potential in the area of human IP. The technology is based on two novelties. The first one is the physiological concept of a functional super-system (FSS) that optimizes cells' life despite environmental instabilities. The second novelty is the mathematical model (MM) of FSS. Fragments of MM were separately created and tuned using test scenarios. SimHIP integrating these fragments provides the physiologist-researcher with an intuitive interface to: a) construct a simulation scenario; b) execute the simulation; c) visualize input-output physiological dynamic dependencies for every chosen combination; and d) save every simulation data for future considerations and publications. SimHIP is an autonomous C# software provided as an Exe module for IBM-compatible computers. Medical students can be additional users of SimHIP.

Problems in programming 2025; 4: 12-22


Keywords


organs; physiological systems; mathematical model; visualization

Full Text:

PDF

References


G. Del Corso, R. Verzicco, F. Viola, A fast computational model for the electrophysiology of the whole human heart. J. Comput. Phys. 457 (2022) pp. 111084-111089.

K. S. Burrowes, A. Iravani, W. Kang, Integrated lung tissue mechanics one piece at a time: Computational modeling across the scales of (2019) biology. Clin. Biomech. 66. pp. 20–31.

D. Baleanu, A. Jajarmi, H. Mohammadi, S.Rezapour, A new study on the mathematical modelling of human liver with Caputo Fabrizio fractional derivative. Chaos, Solitons & Fractals. 134 (2020). pp. 109705–109711.

I. S. Mughal, L. Patane, R. Caponetto, A comprehensive review of models and nonlinear control strategies for blood glucose regulation in artificial pancreas. Annual Reviews in Control. 57 (2024). pp. 100937-100949.

A. T. Layton, Mathematical modeling of kidney transport. Wiley Interdiscip Rev Syst Biol Med. 5 (2013). pp. 557-573.

S. Yubing, K. Theodosios, Numerical Simulation of Cardiovascular Dynamics With Left Heart Failure and In-series Pulsatile Ventricular Assist Organs. 30 (12) (2006). pp. 929-948.

A. D’Ambrosio, F. Itaj, V. C. Piemonte, Mathematical Modeling of the Gastrointestinal System for Preliminary Drug Absorption Assessment. Bioengineering. 11(2024). pp. 813-821.

R. D. Grygoryan, V. F. Sagach, The concept of physiological super-systems: New stage of integrative physiology. Int. J. Physiol. and Pathophysiology. 9,2, (2018). pp. 169-180.

R. D. Grygoryan, A. G. Degoda, T. V. Lyudovyk, O. I. Yurchak, Simulating of human physiological interactions of supersystems: cardiovascular, thermoregulatory and respiratory systems. Problems of programming. 3 (2023). pp. 81-90.

R. D. Grygoryan, A. G. Degoda, T. V. Lyudovyk, O. I. Yurchak, Simulating of human physiological supersystems: integrative function of organs supporting cell life. Prombles of programming. 4 (2024). pp. 77-88.


Refbacks

  • There are currently no refbacks.