Pathology of the central nervous system in children of early age, due mainly hypoxic-ischemic brain damage in the antenatal period and delivery, which occupies a leading place among all factors of perinatal nervous system lesions in infants, is one of the most actual problems of modern medicine. Despite favourable demographic state, the improvement of the quality of perinatal care and medical care of newborns with a weight at birth from 500 grams, the tendency to reduction in the incidence of perinatal lesions of the central nervous system didn’t observed. On the contrary, there is progression of their course, which determines the subsequent mental and physical development of the child - from minimal brain dysfunction and gross motor and intellectual disorders, often resulting in disability. Purpose of the study is to evaluate the clinical features of central nervous system pathology in children of early age by means of neurobiochemistry markers and to develop prognostic criteria for the course and pathogenetic therapy regimens. Materials and methods. Comprehensive survey of 134 children (61 boys and 73 girls ) aged from 0 to 9 months was carried out with the assessment of neurological status and biochemical markers. Results of study. In formation of gravity of perinatal lesions all the studied markers participated, but to a greater extent – the parameters of neurotrophic lesions and endothelial dysfunction. The first component of the nervous tissue of the brain, responding to hypoxia, is microglial environment, which is caused by the growth of lesions S100- protein (i.e., the neuron at the stage of 0-1 months didn’t been metabolic changes – this is evidence of low levels of SOD and MDA).

In recent decades there have been significant changes in the clinic of infectious endocarditis. In the presented scientific review detailed analysis of the current characteristics of the clinic and diagnosis is carried out. There is a growing incidence worldwide. Persons of elderly and senile age began to hurt more. According to the latest data, both in Western countries and in Russia to first place in the etiologic structure of infective endocarditis is Staphylococcus aureus. Modern disease is characterized by further increase in the frequency of primary infective endocarditis caused by unmodified heart valves. The septic forms of the disease began to meet less frequently, im-mune pathological manifestations of the disease are observed more often. The classic clinical picture is revealed not always, atypical forms of the disease, the cases of myocardium failure in the patients with infectious endocarditis are detected often. Thromboembolic complications still are among the most frequent and severe complications of infective endocarditis and its have a tremendous impact on his forecast. Recently come to the forefront of cerebral thromboembolic complications. Relapsing course of the disease is more common. The frequency of infective endo-carditis with damage to the valves of the right heart increases. Thus, timely diagnosis of infective endocarditis re-mains a topical problem of modern clinical medicine. The authors conclude that it is necessary to carry out further research in this direction.

In medicine, there are very large numbers of models of different pathological processes. Thus, models of the evolution of pathologies, in particular, in the clinic of nervous diseases absent altogether. This work presents an example of mathematical modeling the development of pathology in the human body in the form of transition from postural tremor to periodic tremor Parkinson´s and further to a rigid form. The appearance of periodicity in the characteristics of the neuromuscular system corresponds to the pathological phenomenon, for example, Parkinson´s disease. The authors note the similarity of tapping in relatively healthy person with a tremor of a patient with Parkinson´s disease from the position of the phase portraits. At high excitations from the striatum in patients with Parkinson´s disease (in models is Ш=410 u.e.) in the cluster of the neuromuscular system comes rigid phase and in the effector system there is a severe form of parkinsonism, the muscles can no longer perform any movements. In this case the timebase activity of effector organs moves in a steady mode and takes some constant value. The simulation results suggest the high consistency of the obtained results with real signals recorded by the subjects in different conditions. For various indicators of the functional systems of the human body, it is necessary to find the coefficients b and ud directionally.

Complex Biosystems (complexity) cannot be attributed to traditional chaotic systems, because for them it is impossible to calculate the autocorrelation function, Lyapunov exponent, no run properties of mixing, continuously the state vector x(t) demonstrates chaotic motion in the form άχίάίΦθ. Since the initial state x(to) is arbitrarily unrepeatable for such systems, type-one uncertainty and type-two uncertainty arise. Type-one uncertainty is characterized by absence of statistically significant differences between samples. The authors propose neurocomputing methods and theory of chaos and self-organization to differentiate these samples. The authors present examples of such a situation for the parameters of the cardio-respiratory system of humans in conditions of the latitudinal displacement of large groups of people. It is shown that the neuroemulator not only solves the problem of binary classification, but also identifies the order parameters in diagnostic signs. It is very important to increase the number of iterations in the repetition of binary classification. The number of iteration (when we repeat the neuroemulator procedure) has the fundamental role for identification of order parameters. Errors are possible within the order parameters with the high number of iterations.

A comparative analysis of the effectiveness of new bioinformatics methods is shown that in contrast to traditional methods of statistical analysis on the basis of the deterministic-stochastic approach using bioinformatics methods gives higher sensitivity in identifying order parameters (the main diagnostic features) studied the functional systems of the body. The parameters of the cardio-vascular system in untrained and trained subjects from the perspective of chaos theory and self-organization were studied. There is the essential difference between the two groups (trained and untrained students). Dosed physical activity revealed a tendency to increase the area and volume of quasi-attractors state vector of the organism in untrained subjects in 1.5 times and also at 6% in trained subjects. Exercise stabilizes the parameters of the cardio-vascular system trained students and it is the first marker of the degree of detenidamente in young population in the region. Statistical methods are difficult to establish the existence of significant differences in the parameters of the functional systems of the body between the groups of trained and untrained students. The differences are often not statistically significant.