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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Structural Features Of The Brain In Amnestic Mild Cognitive Impairment And Their Correlation With Mild Behavioral Impairment

Neuroscience and Behavioral Physiology. 2025. Vol. 55. No. 9. P. 1681–1687.
N. S. Cherkasov, Tomyshev A. S., Lebedeva I. S., Abdullina E. G., Bozhko O. V., Gavrilova S. I., Kolykhalov I. V.

Objective. To identify the structural features of the brain in elderly patients with amnestic mild cognitive impairment (aMCI) and the correlations of these features with mild behavioral impairment. Materials and methods. Fifty-three patients with aMCI (age 73.0 ± 8.5 years, nine men) and 34 mentally healthy subjects (66.8 ± 9.6 years, four men) were examined. Cognitive status was assessed using the Montreal Cognitive Assessment (MoCA) scale and the severity of mild behavioral impairment was evaluated using the MBI-C (Mild Behavioral Impairment Checklist) questionnaire. Structural MRI images were obtained on a 3T Philips Ingenia instrument. Cortical gray matter thickness, subcortical volumes, and their correlations with MBI-C and MoCA scores were analyzed. Results. Patients with aMCS were found to have smaller cortical thickness in the left superior frontal gyrus and right precuneus (p < 0.05), these parameters correlating negatively with MBI-C scores. In addition, this group had smaller amygdalar and hippocampal volumes in the left hemisphere (p < 0.05), with a positive correlation between the volume of the left amygdala and MoCA scores. Conclusion. The changes in structural MRI parameters and their correlations with neuropsychiatric and neurocognitive symptoms found here reflect the complex nature of the cerebral substrate of cognitive and behavioral impairments in aMCI. These results indicate the need for further work seeking clinically significant phenotypes in patients with aMCI, including those associated with an increased risk of Alzheimer’s disease.

Research target: Clinical Medicine Basic Medicine
Language: English
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Keywords: old agecerebral cortical thicknessamygdalastructural MRImild cognitive impairmentmild behavioral impairment
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