HSE Researchers Create Genome-Wide Map of Quadruplexes
An international team, including researchers from HSE University, has created the first comprehensive map of quadruplexes—unstable DNA structures involved in gene regulation. For the first time, scientists have shown that these structures function in pairs: one is located in a DNA region that initiates gene transcription, while the other lies in a nearby region that enhances this process. In healthy tissues, quadruplexes regulate tissue-specific genes, whereas in cancerous tissues they influence genes responsible for cell growth and division. These findings may contribute to the development of new anticancer drugs that target quadruplexes. The study has been published in Nucleic Acids Research.
HSE AI Research Centre Simplifies Particle Physics Experiments
Scientists at the HSE AI Research Centre have developed a novel approach to determining robustness in deep learning models. Their method works eight times faster than an exhaustive model search and significantly reduces the need for manual verification. It can be applied to particle physics problems using neural networks of various architectures. The study has been published in IEEE Access.
HSE Scientists Develop DeepGQ: AI-based 'Google Maps' for G-Quadruplexes
Researchers at the HSE AI Research Centre have developed an AI model that opens up new possibilities for the diagnosis and treatment of serious diseases, including brain cancer and neurodegenerative disorders. Using artificial intelligence, the team studied G-quadruplexes—structures that play a crucial role in cellular function and in the development of organs and tissues. The findings have been published in Scientific Reports.
HSE University and MTS Join Forces to Combat Deepfakes and Train AI to Create Bespoke Video Content
HSE University and MTS Web Services (MWS) have announced the launch of a series of joint research initiatives in the field of artificial intelligence technologies. These efforts aim to develop innovative solutions in cybersecurity, multimodal content generation, and big data analysis. The project’s leading institution is the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), under the overall coordination of the HSE AI Research Centre.
Submission Deadline: December 20, 2025