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  • Шкала достоверности доказательств эффективности и безопасности лечебных и профилактических вмешательств на основе дизайна и методологического качества исследований
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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Шкала достоверности доказательств эффективности и безопасности лечебных и профилактических вмешательств на основе дизайна и методологического качества исследований

Российский аллергологический журнал. 2018. Т. 15. № 3. С. 25–29.
Rebrova O.

The quality of the evidence on the efficacy and safety of therapeutic and preventive interventions is analyzed in health technology assessment procedure (including the development of reimbursement lists such as the List of Vital and Essential Drugs in Russian Federation) and during development of clinical guidelines. The traditional approach to assess the evidence quality is based on the well-known pyramid of research designs (from meta-analyses to case descriptions), and now it is obsolete. The modern approach is to take into account also the methodological quality of studies. The methodological quality depends on risks of biases and the risk of incorrect data analysis. The article proposes a scale based on combinations of designs and three levels of methodological quality (high, medium, poor) for each of them. The scale differentiates meta-analyses based on randomized controlled trials and comparative studies of other designs. In the scale, the new design of indirect comparisons is envisaged, its’ evidence is lower than for RCT that are used for indirect comparisons. The scale can be used for assessing the absolute and relative effectiveness and safety of medical and preventive medical technologies. At present, the scale is included in the guidelines for the complex assessment of pharmaceuticals.

Research target: Medical Technologies Clinical Medicine Health Studies
Priority areas: IT and mathematics
Language: Russian
Text on another site
Keywords: статистический анализдизайниерархиясистематические ошибкиscaleшкаламетодологическое качество statistical analysisдостоверность доказательствquality of evidencelevels of evidenceGRADErisk of bias hierarchy of evidenceкачество доказательствуровни доказательств
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