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September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.

 

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Health technology diffusion: Case of remote patient monitoring (RPM) for the care of senior population

Technology in Society. 2021. Vol. 66. P. 1–11.
Alanazi H., Daim T.

Increase in population is causing further increase in senior population which is the major cost factor in health care. Health information technology has been cited as one of the tools to help reduce this cost for this group of patients. Therefore, our study explores strategies and policies helping reduce the barriers for the adoption of a health information technology – teleconsultation – for senior population. The objective of this research is to develop a model to evaluate alternative solutions to increase the adoption of Remote Patient Monitoring (RPM) for the senior population. The research leverages hierarchical decision modeling (HDM) to build a hierarchical multi criteria assessment model. The model elements are derived through literature and validated by an expert panel.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: technology adoptiontechnology diffusionhierarchical decision modelHealth information technologyTeleconsultation
Publication based on the results of:
Challenges and opportunities for science, technology, and innovation during and after the COVID-19 pandemic (2021)
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