International Multiconference “Bioinformatics of Genome Regulation and Structure\Systems Biology”

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Systems computational biology: analysis, mathematical modeling and information technologies symposiumDevelopment of a method for recognizing biomedical entities in the texts of scientific articles

Development of a method for recognizing biomedical entities in the texts of scientific articles

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/170.pdf”]
Stepan Derevyanchenko1, Pavel Demenkov2
1Novosibirsk State University, sod97@yandex.ru
2The Federal Research Center Institute of Cytology and Genetics The Siberian Branch of the Russian Academy of Sciences, demps@bionet.nsc.ru

In this paper, we consider the problem of name entity recognition in the texts of biological scientific articles. Using a combination of machine learning methods allowed us to achieve high recognition quality indicators.

Systems computational biology: analysis, mathematical modeling and information technologies symposiumDevelopment and analysis of AIDS epidemic agent-based computer model applying an algorithm for explicit calculation of HIV replicability

Development and analysis of AIDS epidemic agent-based computer model applying an algorithm for explicit calculation of HIV replicability

No Comment on Development and analysis of AIDS epidemic agent-based computer model applying an algorithm for explicit calculation of HIV replicability

Anna Smirnova1, Mikhail Ponomarenko2, Sergey Lashin3
1ICG SB RAS, Novosibirsk, Russia NSU, Novosibirsk, Russia, asmirnova@bionet.nsc.ru
2ICG SB RAS, Novosibirsk, Russia, pon@bionet.nsc.ru
3ICG SB RAS, Novosibirsk, Russia NSU, Novosibirsk, Russia, lashin@bionet.nsc.ru

Different strains of HIV contribute differently to the course of the disease. For its evaluation, 1,336 HIV strains were analyzed. An agent model of the spread of HIV infection in the population has been developed. We analyzed 5 scenarios for the development of the HIV epidemic in Russia, depending on the initial data. Without additional measures, after 10 years, the percentage of HIV patients in Russia will increase from 1% to 2.45%. Comprehensive measures to increase the use of barrier contraception, reduce the number of joint injections among drug users and improve the situation with treatment coverage can reduce the percentage of patients from 1% to 0.3% and prevent the emergence of new patients.