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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Определение эндотипов атопического дерматита на основании молекулярно-генетического исследования местного иммунного ответа

Российский аллергологический журнал. 2018. Т. 15. № 6. С. 33–44.
Елисютина О. Г., Болдырева М. Н., Rebrova O., Феденко Е. С.

The basis for the development of atopic dermatitis (AD) is genetic predisposition, hypersensitivity to allergens, Th1/Th2 disbalance, increased degranulation of mast cells and antigen-presenting activity of Langerhans cells, as well as epidermal barrier dysfunction. Recently, genotypes, phenotypes and endotypes of AD, and biomarkers, which can be used to assess the effectiveness of therapy and to develop personalized approaches to the diagnosis, treatment and prognosis of the disease, have been actively studied. The aim of this study was to determine the endotypes of atopic dermatitis on the basis of molecular genetic study of cytokine gene expression in the skin of AD patients. Materials and methods. The study was performed as a «case-control», 90 AD patients and 30 healthy individuals without signs of atopy were included. The material for evaluation of cytokine gene expression was skin biopsy samples taken by punch biopsy. The level of gene expression was determined by real-time PCR with preliminary reverse transcription of mRNA of the corresponding genes («DNA-Technology», Moscow). The transcript levels of ILB, IL2, IL2r, IL4, IL5, IL6, IL7, IL8, IL10, IL12A, IL12B, IL15, IL17A, IL18, IL23, IL28, IL29, IFNy, TNF, TGFß, FOXP3 genes were studied. Results. Based on the molecular genetic study of the local immune response the following endotypes of AD were determined: endotype with predominance of Th1-type immune response (3% of patients); endotype with predominance of Th2-type immune response (3% of patients); mixed endotype with increased expression of IL2 (20% of patients); mixed endotype with reduced expression of IL10 (64% of patients); mixed endotype with increased expression of TGFß (9% of patients). Clinically significant biomarkers of inflammation in atopic dermatitis - decreased mRNA level of IL1ß gene expression and increased mRNA level of IL2R, IL4, IL5, IL6, IL8, IL10, IL12ß, IL23, IL29, IFNy and TGFß genes expression were determined in the skin of AD patients compared to healthy individuals. Conclusion. The use of molecular genetic method for evaluation of local immune response on the basis of cytokines gene expression measurement in the skin allows to identify the most significant biomarkers characterizing different endotypes of AD, and to determine the type of immune response in the individual patient.

Research target: Computer Science Clinical Medicine
Priority areas: IT and mathematics
Language: Russian
Text on another site
Keywords: факторный анализfactor analysisэкспрессия геновGene expressionCytokineбиомаркерыbiomarkersatopic dermatitisendotypesатопический дерматитэндотипыцитокины
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