20 July 2015

Learn "-omics"!

An educational program on the use of OMIX data in medicine has been launched

Rusnano Press Service 

The educational program "Omix data: Acquisition and use in Medical Applications", developed by order of the Rusnano Foundation for Infrastructure and Educational Programs in cooperation with the Skolkovo Institute of Science and Technology, has started today.

The concept of "omix technologies" arose as a result of the rapid development of technologies that allow the production and analysis of large volumes of biological data. Modern omix tools include high-performance methods of DNA sequencing (genomics), determination of protein concentration and activity (proteomics), metabolites (metabolomics), regulation of gene expression (epigenomics), as well as pharmaceutical tools for the search and testing of new drugs (pharmaconomics).

At the moment, the world is actively implementing omix technologies in biomedicine. As a result, we are witnessing a real revolution in experimental biomedicine, data analysis, drug development technologies, diagnostics (including prenatal), the choice of a personal therapeutic approach and other areas of medical research. New drugs have been found for previously incurable diseases, such as malaria or hepatitis C, and new ways of treating cancer and cardiovascular diseases are being developed.

"In Russia, the development of omix technologies is significantly lagging behind due to a shortage of specialists," says Elena Soboleva, Director of Educational Projects and Programs at the Foundation for Infrastructure and Educational Programs. – "We expect that the additional professional educational program will allow Russian specialists to get acquainted with advanced methods and their application in the field of clinical diagnostics, therapy, pharmaceuticals and experimental biomedicine."

The program includes lectures and practical classes conducted by professors of international research centers, including the Marie Curie Institute (France), Oxford University (UK), Harvard Medical School (USA), Skolkovo Institute of Science and Technology (Russia), Max Planck Institute of Computational Biology (Shanghai, China).

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20.07.2015
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