-platform. For machine learning algorithms, PyTorch 1.
9.0 packages were used. An analysis of the effectiveness
Idrisov, Bulat,
Lunze, Karsten,
Cheng, Debbie M.,
Blokhina, Elena,
Gnatienko, Natalia,
Patts, Gregory,
Bridden, Carly,
Rossi, Sarah L.,
Weiser, Sheri D.,
Krupitsky, Evgeny,
Samet, Jeffrey H. (2023) in the past 90 days was 13.4 (SD 30.1);
9.7% reported sharing needles/syringes in the past month. We did
Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) = 1.77, PFDR =
9.37 × 10−5), and CCL2 rs1024611 (OR = 1.38, PFDR = 0.033) polymorphisms. We showed
Nurgalieva, A.,
Galliamova, L.,
Ekomasova, N.,
Yankina, M.,
Sakaeva, D.,
Valiev, R.,
Prokofyeva, D.,
Dzhaubermezov, M.,
Fedorova, Y.,
Khusnutdinov, S.,
Khusnutdinova, E. (2023) gene and c.27_28insCCCAGCCCCAGCTACCA (p.Ala
9fs) of the VEGFA gene were found only in the tumor tissue
Prokofiev, Igor I.,
Kustova, Margarita V.,
Nesterova, Alla A.,
Perfilova, Valentina N.,
Khusainova, Gulnara H.,
Borodkina, Ludmila E.,
Tivon, Yakov V.,
Tyurenkov, Ivan N.,
Kataev, Valeri A.,
Latypova, Gusel M. (2023) in the rates of myocardial contraction (by an average of 3.
9 times, P < 0.05) and relaxation (2.6
times under
Ivanova, Elizaveta,
Asadullina, Dilara,
Gilyazova, Gulshat,
Rakhimov, Radmir,
Izmailov, Adel,
Pavlov, Valentin,
Khusnutdinova, Elza,
Gilyazova, Irina (2023) at 78.
9%. Thus, while it can be assumed that miRNA-146a and miRNA-126 can be used as
predictors for ICI