perinatologyРоссийский вестник перинатологии и педиатрииRossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)1027-40652500-2228Ltd. “The National Academy of Pediatric Science and Innovation”10.21508/1027-4065-2017-62-5-16-20perinatology-545Research ArticleПЕРСОНАЛИЗИРОВАННАЯ ПЕДИАТРИЯPERSONALIZED PEDIATRICSПерсонализированная медицина: геном, электронное здравоохранение и интеллектуальные системы. Часть 1. Геномика и мониторинг клинических данныхPersonalized medicine: genome, e-health and intelligent systems. Part 1. Genomics and monitoring of clinical dataКобринскийБ. А.KobrinskiiB. A.

д.м.н., проф., зав. лабораторией систем поддержки принятия клинических решений Института современных информационных технологий в медицине Федерального исследовательского центра «Информатика и управление» РАН

117312 Москва, пр-т 60-летия Октября, д.9

Институт современных информационных технологий в медицине Федерального исследовательского центра «Информатика и управление» РАНРоссияInstitute of Modern Information Technologies in Medicine of the Federal Research Center «Computer Science and Control» of the Russian Academy of SciencesRussian Federation2017101120176251620Copyright © Ltd. “The National Academy of Pediatric Science and Innovation”, 20172017Ltd. “The National Academy of Pediatric Science and Innovation”Ltd. “The National Academy of Pediatric Science and Innovation”https://www.ped-perinatology.ru/jour/about/submissions#copyrightNoticehttps://www.ped-perinatology.ru/jour/article/view/545

Переход к персонализированной медицине в практическом плане должен сочетать решение проблемы геномики как основы возможных заболеваний и учет фенотипических проявлений, являющихся маркерами и ранними признаками формирующихся патологических изменений. Большинство болезней имеют свои первоосновы в детском возрасте. Поэтому во всех возрастных группах нужно контролировать минимальные отклонения и их динамику, использовать для этого мобильные устройства и накапливать получаемые данные. Обработка больших данных (Big Data) позволит получить более информативные сведения. На этой основе можно будет выявлять аналоги для таргетной терапии в сходных вариантах заболеваний в больших базах данных публикаций по интересующей проблеме.

The transition to personalized medicine in practical terms should combine the solution of the genomics problems as the basis for possible diseases and phenotypic manifestations that are markers and early signs of emerging pathological changes. Most diseases have their first principles in childhood. Therefore, in all age groups, it is necessary to monitor the minimum deviations and their dynamics, use mobile devices for this purpose and accumulate the received data. Processing big data (Big Data) will provide more informative information. On this basis it will be possible to identify analogs for targeted therapy in similar variants of diseases in large databases of publications on the problem of interest.

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The authors declare that there are no conflicts of interest present.