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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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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.
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‘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.

 

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Integrative Profiling of the Ovarian Reserve Using Ultrasound and MRI Data by Comparative Analysis: A Systematic Review

Current Medicinal Chemistry. 2025. Vol. 32. Article e09298673377087.
Kudryavtseva V. A., Narasimha M. B., Moiseeva A. V., Moshkin Andrey S, Gevorgyan M. M., Vinnik Y. Y., Butko D. Y., Akhila C., Padmanabha R. Y., Basappa B., Nikolenko V. N.

Background: Ovarian reserve reflects the functional capacity of a woman's ovaries, encompassing factors such as follicle quantity, egg quality, and fertilization potential. Assessment of ovarian reserve is essential in reproductive medicine, particularly for fertility evaluation and assisted reproductive technologies (ART). While traditional biochemical markers such as anti-Müllerian hormone (AMH) and follicle-stimulating hormone (FSH) are commonly used, instrumental diagnostic methods like ultrasound and magnetic resonance imaging (MRI) provide valuable morphological and functional insights. This systematic review without a comprehensive meta-analysis evaluates the role of ultrasound and MRI in assessing ovarian reserve and their potential applications in clinical and research settings.

Methods: A comprehensive literature search was conducted across multiple databases to identify relevant studies evaluating ovarian reserve using ultrasound and MRI. Studies were screened based on predefined inclusion criteria, focusing on imaging parameters such as ovarian volume, follicular count, stromal characteristics, and vascularization. The effectiveness of these imaging techniques was analyzed in comparison to established biochemical markers. Due to heterogeneity in the included studies, a systematic review was performed without a formal meta-analysis.

Results: Ultrasound, particularly transvaginal ultrasound (TVUS), remains the gold standard for ovarian reserve assessment, allowing real-time visualization of antral follicle count (AFC), ovarian volume, and follicular morphology. Doppler ultrasound provides additional insights into ovarian blood flow, which correlates with follicular development and ovarian function. MRI offers high-resolution, three-dimensional imaging, enabling detailed assessment of ovarian structure, follicular density, and stromal composition. While MRI provides superior soft-tissue contrast, its role in routine ovarian reserve assessment is limited due to cost and accessibility. The findings indicate that although both modalities are valuable for ovarian reserve evaluation, there is no consensus on standardized imaging parameters for defining ovarian functional viability. The available literature also presents inconsistencies in the correlation between imaging findings and ovarian function.

Conclusion: Ultrasound and MRI are essential tools for assessing ovarian reserve, providing complementary morphological and functional data. However, the lack of standardized imaging parameters limits their ability to definitively determine ovarian functional viability. Further research is needed to establish validated diagnostic criteria and integrate imaging techniques with biochemical markers to enhance the accuracy of ovarian reserve assessment in clinical practice and reproductive research.

Keywords: MRI; Ovarian reserve; antral follicles.; follicle characteristics; ovarian characteristics; ultrasound female fertility parameters.

Research target: Clinical Medicine Medical Technologies
Language: English
DOI
Text on another site
Keywords: MRIМРТovarian reserveовариальный резерв
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