Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Yakovleva, D.V.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2023) behavior or affective pathology. Therefore, we aimed to estimate a
combined effect of PGS based on 30 SNPs
of knowledge in his field. The
combined form of education is the interaction of traditional and distance
Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) up to 3.9% (p = 6.03 × 10−9) of variance in depression level assuming a
combined SNPs effect and 17
Sharipov, R.A.,
Omarov, M.A.,
Mulyukov, A.R.,
Dybova, A.I.,
Vyaseleva, E.T.,
Kayumova, N.B.,
Saitgalina, A. Sh.,
Ententeev, K.R.,
Iagafarov, I.R.,
Kuserbaev, I.V.,
Gubaeva, E.A. (2023) of gene
therapy methods and attracted the attention of the entire scientific community. This technology
Zhiyong, Ji,
Yeping, Ling,
Pingbo, Chen,
Meng, Yuxiao,
Xu, Shancai,
Wu, Pei,
Wang, Chunlei,
Ilyasova, Tatiana,
Sun, Bowen,
Shi, Huaizhang (2023) of recurrent
serious ischemic events despite standard medical
therapy, has been clinically
challenging. A
Beilerli, A.,
Kudriashov, V.,
Sufianov, A.,
Kostin, A.,
Begliarzade, S.,
Ilyasova, T.,
Liang, Ya.,
Mukhamedzyanov, A.,
Beylerli, O. (2023) resistance and promising directions for targeted
therapy. This review presents the results of scientific
in the expression of miRNAs)
and designing their targeted
therapy using specific miRNAs as targets. This article