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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Pharmacological targeting of nuclear factor (erythroid-derived 2)-like 2 (NRF2): a potential strategy to improve the efficacy of oncological photodynamic therapy

Biochemical Pharmacology. 2026. Vol. 248. Article 117620.
de Klerk D., de Keijzer M., Franchi L., Tian J., Maxim A. Gureev, Porozov Y.

The recalcitrance of tumors to photodynamic therapy (PDT) has been linked to PDT-induced activation of survival pathways in sublethally afflicted cancer cells that modulate cellular responses to oxidative stress and damage. Survival signaling manifests in regions of the tumor where the tumor cells are insufficiently photosensitized or subjected to inadequate fluence rates. The survival signaling in these tumor regions is believed to account for tumor recurrence. Accordingly, PDT efficacy can be improved by intervening in these pathways using molecular inhibitors of key modulators of survival signaling, thereby reducing the number of sublethality afflicted cancer cells whilst increasing therapeutic efficacy. A promising target for pharmacological intervention is the nuclear factor (erythroid-derived 2)-like 2 (NRF2) pathway, which induces the antioxidant and xenobiotic stress response that helps cells cope with prolonged periods of hyperoxidative stress after PDT. This review outlines our current understanding of this pathway, how it is activated, and how it confers cytoprotective effects and ensures cell survival. Additional distinguishing features of the review are that (1) studies are addressed in which PDT activation of the NRF2 pathway has been demonstrated; (2) an exhaustive overview of NRF2 pathway inhibitors is presented that could serve as potential adjuvants in PDT regimens to augment therapeutic efficacy in treatment-resistant tumors and cancers that recur after PDT; (3) molecular docking analyses are included that show potential interactions between the NRF2 inhibitors and the redox sensor KEAP1; and (4) an elaborate account is provided on the potential bottlenecks and caveats that can be encountered when using NRF2 inhibitors in the development of fourth-generation photosensitizers for oncological PDT.

Research target: Natural Sciences Chemistry Biology
Language: English
DOI
Text on another site
Keywords: Keap1Redox homeostasisOxidantsPhotochemotherapy
Publication based on the results of:
Металлизированные фталоцианины как высокоэффективные фотосенсибилизаторы в фототерапии рака (2027)
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