Publications by authors named "A A Lazarev"

The number of permanent average annual rural population in the Russian Federation is declining and over 2013-2022 decreased from 37.2 to 36.9 million people.

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Our group has seen great promise in using substituted diaryl-hydrazones to alleviate oxidative stress in preeclampsia. Specifically, fluorinated diaryl-hydrazones have shown great efficacy, confirmed via antioxidant assays and animal trials using pregnant mice. In addition to efficient antioxidant properties, these diaryl-hydrazones are also considered non-toxic.

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Article Synopsis
  • - The study aimed to assess the incidence of asymptomatic radiologic findings in the groin area of adult male professional soccer players using MRI, focusing on how age and limb dominance might affect these findings.
  • - Out of 94 MRI images analyzed, a majority exhibited 1-4 changes in the pubic bone and adjacent regions, including joint irregularities and signs of fatty infiltration, with no notable differences between dominant and non-dominant limbs.
  • - The results indicate that asymptomatic changes in the groin area are highly prevalent among players without pain complaints, suggesting these findings might contribute to groin pain in players who do experience it.
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The article presents systematic review of National and foreign publications concerning strategy of digital society development, definitions and concepts of digital twins in health care. The analysis of development of digital twins of patients and application of digital twins of human organs in medicine is presented. The experience of digital twins functioning in health care management system in Russia and abroad is presented.

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We report the results of X-ray diffraction (XRD) measurements of the dogs' claws and show the feasibility of using this approach for early, non-invasive cancer detection. The obtained two-dimensional XRD patterns can be described by Fourier coefficients, which were calculated for the radial and circular (angular) directions. We analyzed these coefficients using the supervised learning algorithm, which implies optimization of the random forest classifier by using samples from the training group and following the calculation of mean cancer probability per patient for the blind dataset.

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