Modeling Biological Systems

Biological system modeling refers to the work of establishing mathematical models for the behavior, parameters and relationships of biological cells, organs and whole layers by applying the principles of modern physics and mathematics.
Organisms are very complex systems, even the simplest red blood cells contain physical and chemical side about 2000 kinds of metabolic reactions, and the complexity of the brain is more incomparable. The study of this complex biological system requires very complex experiments, and the study of biological systems such as sky, water, hypoxia and other dangerous conditions is often difficult to carry out. Biological system modeling and simulation can simplify the biological system into a mathematical model and carry on computer analysis to replace the actual complex, long-term, expensive and even impossible experiments, greatly improve the research efficiency and quantification, and can study the artificial control conditions to affect the biological system operation process. Biological system modeling and simulation can be used to identify abnormal parameters of human body for disease diagnosis, diabetes and other disease prediction, blood pressure and other parameters of adaptive control. In addition, in the development of medical instrument and biology, physiology, bionics and other disciplines, biological system modeling and simulation also has great value.

Modeling and simulation of biological systems is a newly emerging and far from mature subject area, in the future will continue to develop modeling and simulation research at all levels of biological system, in order to deepen the understanding of biological system function, to provide guidance for disease diagnosis, treatment and prevention; Through the improvement of modeling method and the enhancement of biological experiment verification, The research of modeling will be developed in the direction of precision and practicality, and with the progress of computer science, it will promote the modeling and simulation of comprehensive and complex models. We have studied from 3 aspects: We have made a comprehensive study on the theory of ECG dipole, improved the model, and put forward the concept of finding the most sensitive lead in diagnosing coronary heart disease from human body, ECG and other potential lines. A set of theoretical model and experimental research system for non-invasive measurement of cardiac function parameters by biological resistance method is established. In conjunction with the university's Tropical Research Institute, a "model and intervention study on the prevention of digestive tract Infections in the whole army" was conducted.

Modeling Biological Systems