Development of the forecasting methods for population health in a certain territory, taking into account big data of human physiome and exposome

   The development of a wide range of technologies in precision medicine based on the achievements of genomics, transcriptomics, proteomics, and metabolomics requires a well-developed mathematical apparatus and appropriate methods for processing big medical data. Two technological breakthroughs – decoding of the human genome and the fourth industrial revolution have opened a new era of healthcare development – the era of personalized partner medicine, which is built not only on omix technologies, but is also impossible without digital medicine. In parallel, there was a transition from microarrays to the so-called high-throughput genomewide sequencing, the entire set of DNA contained in a single cell, cell populations or communities of organisms is examined and the work of all genes is analyzed simultaneously. New experimental technologies generate huge amounts of data, which can only be analyzed by bioinformatics methods, which are based on the synthesis of biological and mathematical knowledge. Such approaches to processing large digital arrays of biomedical information have not been used anywhere before and can become a very popular trend at the intersection of areas. The authors of this article tried to lay the conceptual foundations for the formation of a methodology for multivariate analysis of big data of the human physiome and exposome.

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