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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Картирование медицинской науки: результаты интеллектуального анализа больших данных

Медицинские технологии. Оценка и выбор. 2026. № 1(47). С. 36–47.
Grebenyuk A. Y., Lobanova P., Саввин Н. В., Sabidaeva E.

Objective: Analysis of the current global agenda in medical science.

Material and methods: The article proposes an approach to building a medical research landscape based on semantic analysis and mapping of medical topics. For this purpose, 2252 topics from English-language articles published in 2024 related to the field of medicine were vectorized, the embeddings were obtained using the Jina model (jina-embeddings-v3).

Results: Within the framework of the conducted research, the scientific and technological agenda of the world medical science was mapped, it covers 25 thematic clusters. The clusters are related to technologies for the diagnosis, treatment and prevention of diseases, nosologies, systems and complexes of diseases, platform S&T areas in the field of life sciences, organization and health policy, digitalization, pharmaceuticals and related to medicine areas. The article also presents the most significant topics in each cluster, taking into account their mention in the scientific literature for 2024.

Conclusion: Understanding the global agenda in medical science and the most relevant technological trends is the key to developing innovative technologies in this field. The results of the study can become an information basis for choosing priorities and focusing measures to support science and technology in the field of medicine.

Research target: Medical Technologies Computer Science
Language: Russian
DOI
Keywords: семантический анализтехнологические трендыанализ больших данныхsemantic analysistechnological trendsiFORAiFORABig Data analysismapping medical scienceS&T agendaкартирование медицинской наукинаучно-технологическая повестка
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