Nurgalieva, A.Kh.,
Bashkatov, S.A.,
Volkova, E.V.,
Petrova, S.G.,
Takhirova, Z.R.,
Mustafin, R.N.,
Fedorova, Y.Y.,
Prokofyeva, D.S.,
Khusnutdinova, E.K. (2023) essential, which will allow using additional educational
technologies as early as possible, thereby
Lopukhova, Ekaterina A.,
Ibragimova, Rada R.,
Idrisova, Gulnaz M.,
Lakman, Irina A.,
Mukhamadeev, Timur R.,
Grakhova, Elizaveta P.,
Bilyalov, Azat R.,
Kutluyarov, Ruslan V. (2023) their effectiveness, sources of input
information, and work verification. This statistical review analyzes examples
Mukhametov, Ural,
Lyulin, Sergey,
Borzunov, Dmitry,
Ilyasova, Tatiana,
Gareev, Ilgiz,
Sufianov, Albert (2023) was noted. Conclusions: As we continue to extrapolate new
information on immune response factors associated
Begliarzade, Sema,
Beilerli, Aferin,
Sufianov, Albert,
Tamrazov, Rasim,
Kudriashov, Valentin,
Ilyasova, Tatiana,
Liang, Yanchao,
Beylerli, Ozal (2023) with acetic acid and iodine
solutions. Such highly
informative biomarkers can be long noncoding RNAs (lnc
Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) that the most
informative prognostic model included weighted polygenic scores for these five loci, and non
Gilyazova, I.,
Timasheva, Ya.,
Karunas, A.,
Kazantseva, A.,
Sufianov, A.,
Mashkin, A.,
Korytina, G.,
Wang, Ya.,
Gareev, I.,
Khusnutdinova, E. (2023) this
information to propose hypotheses for future research directions.
of the
information obtained can open new horizons
in the management of tissue and organ differentiation to aging slow