Annotation: Main problem: the most key issue of Kazakhstan is its unpreparedness for the latest technologies. The introduction of artificial intelligence in medicine in Kazakhstan, which has both positive and negative sides, falls into this category. To start working with them, it is necessary to determine the attitude of citizens to them, especially if it concerns social activities. The work has social and scientific significance. The work highlights the main positive aspects of reducing the workload in the workplace, as well as the positive results of the active use of artificial intelligence in other countries. Methods: Three methods were used for detailed analysis: interviews, content analysis and survey. All methods of obtaining information were used in further analyzing the problem and identifying the results. Purpose: the main objective of the study is to find the existing practices for using AI in Kazakhstan. Moreover, the possible opportunities to develop AI implementation in medicine and how it can upgrade internal procedures in the medical field. Results and their significance: At the end of the article, it is clearly seen that more and more people are exposed to AI technology on a daily basis, but its implementation in Kazakhstan remains relatively low, indicating that Kazakhstan is lagging behind other countries and that people are unaware of all the advantages of AI. It can also be noted that the introduction of AI in medicine can help remote areas in transmitting patient data.

Annotation: Over the past decades, efforts have been made to develop irrigation and pasture infrastructure across significant areas of seasonal pastures within the state land fund of the Republic of Kazakhstan. However, the current level of fodder base development remains insufficient to fully meet the needs of the livestock sector, thereby limiting the growth potential of agricultural production. A key strategy for intensifying pasture management lies in the efficient use of pasture and fodder resources through the implementation of rotational grazing systems that prevent land degradation. Within the framework of the Agro-Industrial Complex Development Concept, a central objective is the restoration and preservation of the productivity of agricultural landscapes, many of which are affected by various forms of land degradation. Currently, the region is experiencing a decline in both the qualitative and quantitative characteristics of agricultural land, including a 6-27 % decrease in humus content on irrigated lands, wind erosion across 2.4 million hectares of farmland, and an increase of 1.4 million hectares in degraded pasture areas. These processes have led to substantial income losses among agricultural producers, largely due to water scarcity and the deterioration of agricultural landscapesincluding irrigated lands, hayfields, and pastures. Consequently, the region is facing growing socioeconomic tensions, marked by declining rural living standards and reduced volumes of agricultural output.

Annotation: In the context of a rapidly growing elderly population, one of the key priorities is the development of specialized food products that support health maintenance, prevent age-related diseases, and provide physiologically adequate nutrition. The aim of this study was to develop a gerodietetic meat semi-finished product technology using plant-based ingredients-bulgur flour and zucchini-known for their high nutritional and biological value. Three formulation variants were developed, differing in the percentage ratio of animal and plant-based raw materials. The samples were evaluated by sensory analysis using a scoring system (appearance, color, smell, taste, texture) and by determining the chemical composition of the optimal variant. The results showed that the inclusion of plant ingredients improves the sensory qualities of the product, reduces fat content, and increases the levels of dietary fiber, vitamins, and minerals. The best performance was observed in sample No. 2, containing approximately 20 % plant additives. The proposed formulation offers an optimal balance of sensory and nutritional properties, making it suitable for implementation in the production of gerodietetic meat products. Given its balanced composition and high consumer appeal, it is also appropriate for use in institutional catering systems and in the production of functional foods targeted at elderly nutrition.

Annotation: Although Kazakhstan increases the area under soybean cultivation annually, its production remains challenging in the northern and eastern regions due to the limited number of varieties adapted to climatic conditions. Traditional methods of selecting parental forms for the creation of new ultraearly and early soybean varieties require significant time and resource investments, so modern breeding technologies are aimed at increasing the accuracy and efficiency of hybridization. In the context of agricultural intensification and the need to adapt soybean varieties to specific agroecological conditions, cluster analysis has proven to be an effective tool for evaluating and selecting varietal material. Its application made it possible not only to structure the studied soybean accessions by economically important traits, but also to identify the most promising forms for subsequent use in breeding programs. The article presents the results of a study of 102 collection soybean accessions of various ecological and geographical origins, evaluated by the main economically important traits in order to define criteria for selecting sources and donors for breeding for high productivity, early maturity, and high biochemical performance, using cluster analysis via Ward’s method with the Statistica v.13 software. To conduct a cluster analysis of 102 collection soybean accessions for systematization based on economically important traits and to identify genetically promising parental forms to improve the efficiency of the breeding process and accelerate the development of new varieties adapted to the conditions of the northern and eastern regions of Kazakhstan. The study was conducted using the hierarchical clustering method based on Ward’s method. Statistical analysis was carried out using Statistica v.13. As a result of studying 102 collection soybean accessions using cluster analysis, five clusters were identified that differed in sets of economically important traits. From the first cluster, four accessions were identified as sources and donors of high yield and high protein content in seeds. From the second cluster, six accessions were identified as sources and donors of early maturity, and five as sources of high protein content. From the third cluster, four early maturing accessions, three highyielding accessions, five with high protein content, and three with high fat content were identified. From the fourth cluster, three accessions were identified by yield level, two by 1000 seed weight, two by protein content, and four by pod insertion height. In the fifth cluster, seven soybean accessions stood out for yield and three for pod insertion height. Cluster analysis has proven its effectiveness as a digital breeding tool, facilitating the accelerated development of adapted soybean varieties and the expansion of soybean cultivation in Kazakhstan.