Yalaev, Bulat,
Tyurin, Anton,
Prokopenko, Inga,
Karunas, Aleksandra,
Khusnutdinova, Elza,
Khusainova, Rita (2022) models to
predict the
risk of low fractures in women from the Volga-Ural region of Russia with efficacy
Timasheva, Yanina,
Kochetova, Olga,
Balkhiyarova, Zhanna,
Korytina, Gulnaz,
Prokopenko, Inga,
Nouwen, Arie (2025) .11, p = 0.507). Conclusions: Polygenic scores could aid in
predicting MetS
risk and health outcomes
prediction was constructed and thirdly the computer
risk assessment model was tested on 50 patients with ACS
Savelieva, Olga,
Karunas, Alexandra,
Prokopenko, Inga,
Balkhiyarova, Zhanna,
Gilyazova, Irina,
Khidiyatova, Irina,
Khusnutdinova, Elza (2025) and respective response to drug therapy. PGS models could help to
predict the individual
risk of asthma using 26
Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) study participants from the Volga-Ural region of the Eurasian continent, and evaluated the
predictiveKlen, E.E,
Nikitina, I.L.,
Makarova, N.N,
Miftakhova, A.F,
Ivanova, O.A,
Khaliullin, F.A.,
Alekhin, E.K. (2017) -suspension (TST) and forced-swim tests (FST) that were comparable with those of imipramine. Low toxicity
risks (2 and 5.7 mg/kg), effects associated presumably with anxiolytic properties.
Prediction of toxic
Mukhammadiyeva, G.F.,
Shaikhlislamova, E.R.,
Karimov, D.D.,
Karimov, D.O.,
Repina, E.F.,
Yakupova, T.G.,
Kudoyarov, E.R. (2024) 16944), MMP-1 (rs1799750) and SOD2 (rs4880) gene polymorphisms with the
risk of developing vibration