Репозиторий Университета

© Springer Science+Business Media, LLC, part of Springer Nature 2020. Intracellular molecular pathways (IMPs) control all major events in the living cell. IMPs are considered hotspots in biomedical sciences and thousands of IMPs have been discovered for humans and model organisms. Knowledge of IMPs activation is essential for understanding biological functions and differences between the biological objects at the molecular level. Here we describe the Oncobox system for accurate quantitative scoring activities of up to several thousand molecular pathways based on high throughput molecular data. Although initially designed for gene expression and mainly RNA sequencing data, Oncobox is now also applicable for quantitative proteomics, microRNA and transcription factor binding sites mapping data. The Oncobox system includes modules of gene expression data harmonization, aggregation and comparison and a recursive algorithm for automatic annotation of molecular pathways. The universal rationale of Oncobox enables scoring of signaling, metabolic, cytoskeleton, immunity, DNA repair, and other pathways in a multitude of biological objects. The Oncobox system can be helpful to all those working in the fields of genetics, biochemistry, interactomics, and big data analytics in molecular biomedicine.

© 2020, Springer Nature Switzerland AG. Multifactorial nature of human health and need in personifying the approach to each person in the health saving programs should use modern information and cognitive technologies for the tasks of health assessment and control. The article presents a concept, basic methods, and a structure of intelligent system of health saving (InSyHS), created by the authors to solve these tasks. This system implements the intelligent Internet technology based on modern cognitive methods and information about health, considering all possible health-determining essential factors (nutrition, physical activity, lifestyle, social and nature environment), and doing people to form an active relation to health with the possibility of self-diagnostics (physical and mental reserves, stress, psycho-emotional characteristics), optimization and personalization of personal health saving programs.

© 2018 IEEE. Text Big Data Analytics Study is presented (frequency-morphological analysis of open texts from Google). Visualization of Morphological Matrix, cluster analysis (hierarchical method of dendrograms creation), and Value Chain Map were implemented as the set of tools for analytics. World Economic Forum's Global Risks Report was taken as a model in studying global issues. Global Trends Map was created and is presented; it indicates global social persistent inequality. Our results were compared with Global Risks Report and Multiple Futures Project-2030. Value Chain Map, based on Text Big Data Analytics for eight countries, helped to assess economic situation in terms of competitiveness at the global market.

© 2018, Springer International Publishing AG. Multifactorial nature of human health and need in personifying the approach to each person leads to the fact that full implementation of healthy life style (HLS) technologies is possible only on the basis of artificial intelligence technologies, widely implemented in the preventive medicine via modern Internet technologies. Modern computer systems allow considering simultaneously big data of separate factors in health assessing and selecting of individualized recommendations for personal HLS. This article presents a concept and a structure of intelligent Internet technology for personalized health-saving support, which allow assessing health and preparing individual optimal recommendations for HLS.