The problem of treating children with recurrent cerebral tumors cannot be solved without effective prediction of recurrent blastomatous growth. The main question will be, in addition to the possible risks of tumor recurrence, when should regrowth of the neoplasm be expected in time? In our opinion, one of the probable ways to solve this problem is to study the kinetics of tumor growth and create a mathematical model for it. The aim of the study was to analyze the kinetic features of the continued growth of benign neuroepithelial brain tumors in children after surgical treatment. The study included the results of an MRI of a 32 patients under the age of 17 years. All patients underwent brain tumor resection for the first time in the Department for Children Polenov Neurosurgical Institute (Almazov National Medical Research Centre). All patients had a relapse/continued tumor growth, as well as a benign nature of the neoplasm, which was confirmed pathomorphologically. To construct the kinetic curves, volumetric indicators of tumors obtained by virtual 3D-modeling were used. Depending on the histotype, the tumor growth rate was determined by the formula: v = (V_T-V_O)/T, and a graphical assessment of changes in the volume of the neoplasm was carried out – the construction of kinetic curves. Further, the most typical kinetic curves for each histological type of benign neuroepithelial tumors were identified.

Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. Its prevalence is increasing every year with increasing obesity, sedentary lifestyle, poor or unhealthy diet and increasing age of pregnant women. GDM is known to be accompanied by multiple short- and long-term complications for both mother and child. Research in genetics and epigenetics has provided new insights into the pathophysiology of GDM, which provides an opportunity to develop new strategies to improve the diagnosis, prevention and treatment of GDM and its complications.

This review describes the role of genetic and epigenetic factors on the risks of developing GDM and its complications. The review also discusses the similarities in the genetic changes underlying type 2 diabetes mellitus and GDM, indicating a multifactorial pathogenesis of GDM.

Glioblastomas (GBM) are among the most malignant and frequent human tumors, characterized by rapid growth, metastasis, resistance to therapy and formation of relapses. The appearance of multidrug resistances (MDR) in GBM cells are often combined with inhibition of cell death and differentiation pathways and prevents an increase in the effectiveness of therapy in this group of patients. The review examines the relationship of molecular mechanisms of MDR with differentiation and apoptosis of GBM with an emphasis on identifying new targets among proteins, microRNAs, suppressor genes, and oncogenes.

At present, epigenetics is being studied in detail and actively, and the significance of epigenetics in the development of multifactorial diseases has been determined. In this regard, a large number of publications have recently appeared that analyze the results of studies using epigenetic markers. The obtained promising results indicate the possibility of early detection and prediction of many multifactorial diseases. This review briefly outlines the theoretical foundations of epigenetics and epigenetic mechanisms. The participation of epigenetics in the formation of multifactorial pathology is considered on the example of celiac disease, multiple sclerosis and cardiovascular diseases, confirmed by the identified epigenetic markers.

Glial tumors of the brain is still to be a pressing problem in oncology. They are usually characterized by rapid growth rates, invasiveness, frequent recurrence, and a poor prognosis. This literature review was made with the aim of introducing the diagnostic capabilities of MRI in recognizing glial tumors. It includes 44 sources written for the period from 2005 to 2023.

The article is devoted to a review of the most promising MRI techniques in cardiac imaging, as part of personalized medicine.

A brief historical and terminological outline is provided, as well as a description of the current state of the problem. The results of promising methods of MR studies are considered. Issues of clinical importance and recommendations for use of the data are discussed.

Various approaches to the diagnosis and treatment of the most significant cardiac diseases are summarized.

In conclusion, the views and innovativeness of best practices in modern healthcare are summarized.

This article provides an overview of the use of gamification in teaching radiology to the generation Z medical students. It highlights the need to adapt medical education to the digital preferences of the new generation. The article emphasizes the importance of gamification in enhancing student motivation and improving the quality of education, and discusses the use of various gaming techniques, such us serious games and virtual reality-based games, as well as student radiology competitions. Current challengesof integrating gamification in the curriculum of medical universities are also discussed.

This paper addresses issues related to the implementation of a systems approach in clinical medicine.

On the example of such widespread and often united by a single pathogenesis of cardiovascular diseases as myocardial infarction, arterial hypertension, atrial fibrillation and obesity, the authors make an attempt to draw attention to the barriers that in the present accompany the cardiological patient in his pathology: increasing morbidity, not always effective treatment, not decreasing lethality, etc.

The solution to the problem, according to the authors, lies in combining systemic and integrative approaches.

With the help of systems medicine, which combines the study of the pathophysiology of the patient at deeper levels – cellular, molecular, genetic – it is possible to search for individual features of the disease.

The integrative approach as a tool to implement the concept of systems medicine will provide a much more accurate characterisation of the patient’s status, which is necessary forindividualisation of observation and treatment with the expected benefits and minimisation of risks for each patient individually.

A connecting and resulting link is envisaged in the use of information technology to process the entire patient data set. It is expected that this approach will provide an opportunity to move to a fundamentally new understanding of pathological processes and the provision of directed effective personalised care.