Genomic technologies in neonatology

In recent years, there has been a tremendous trend toward personalized medicine. Advances in the field forced clinicians, including neonatologists, to take a fresh look at prevention, tactics of management and therapy of various diseases. In the center of attention of foreign, and increasingly Russian, researchers and doctors, there are individual genomic data that allow not only to assess the risks of some form of pathology, but also to successfully apply personalized strategies of prediction, prevention and targeted treatment. This article provides a brief review of the latest achievements of genomic technologies in newborns, examines the problems and potential applications of genomics in promoting the concept of personalized medicine in neonatology. The increasing amount of personalized data simply impossible to analyze only by the human mind. In this connection, the need of computers and bioinformatics is obvious. The article reveals the role of translational bioinformatics in the analysis and integration of the results of the accumulated fundamental research into complete clinical decisions. The latest advances in neonatal translational bioinformatics such as clinical decision support systems are considered. It helps to monitor vital parameters of newborns influencing the course of a particular disease, to calculate the increased risks of the development of various pathologies and to select the drugs. © Team of authors 2017.

Authors
Publisher
National Academy of Pediatric Science and Innovation
Number of issue
5
Language
Russian
Pages
21-28
Status
Published
Volume
62
Year
2017
Organizations
  • 1 Peoples' Friendship University of Russia, Russian Federation
  • 2 Federal State Autonomous Educational Institution of Higher Education, I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Sechenov University, Russian Federation
Keywords
Children; Genomic profiling; Neonatology; Newborns; Pediatrics; Personalized medicine; Translational bioinformatics
Share

Other records