prediction was constructed and thirdly the computer
risk assessment model was tested on 50 patients with ACS
Klen, 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
Tao, Pan,
Galiullin, D,
Chen, X.L.,
Zhang, W.H.,
Yang, K,
Liu, K,
Zhao, L.Y.,
Chen, X.Z.,
Hu, J.K. (2021) performed to determine
risk factors for ASBO. A nomogram for the
prediction of ASBO was generated using
ZAGIDULLIN, N.SH.,
MOTLOCH, LUKAS J,,
GAREEVA, D.F.,
HAMITOVA, AYSILU,
LAKMAN, I.A.,
KRIONI, ILJA,
POPOV, DENIS,
ZULKARNEEV, R.KH.,
PAAR, VERA,
KOPP, KRISTEN,
JIRAK, PETER,
ISHMETOV, V.SH.,
HOPPE, UTA C.,
TULBAEV, EDUARD,
V.N. Pavlov (2020) ) have emerged as potential tools in stratifying
risk in cardiac patients. Indeed, multimarker approaches
Ivanova, E.,
Gilyazova, I.,
Pavlov, V.,
Izmailov, A.,
Gimalova, G.,
Karunas, A.,
Prokopenko, I.,
Khusnutdinova, E. (2022) with a p-value of 2.0 × 10-16. The microRNA biogenesis pathway weighted PGS
predicted the
risk of cc
Zhou, Qi,
Zhang, Daming,
Chen, Xin,
Yang, Zhao,
Liu, Zhihui,
Wei, Baixing,
Jin, Mei,
Feng, Kairu,
Guo, Chunmei,
Sun, Junying,
Chen, Sheng,
Zhang, Ruijia,
Piao, Xiai,
Gareev, Ilgiz,
Sun, Zhenying,
Wang, Xiaoxiong,
Li, Lili,
Zhao, Shiguang,
Yang, Guang (2020) Background The elevation of plasma D-dimer levels may
predict a higher
risk of thrombosis and play
Coignard, J.,
Lush, M.,
Beesley, J.,
O’Mara, T.A.,
Dennis, J,
Tyrer, J.P.,
Barnes, D.R.,
McGuffog, L.,
Leslie, G.,
Bolla, M.K.,
Adank, M.A.,
Kiiski, J.I.,
Nevanlinna, H.,
team of authors (2021) Breast cancer (BC)
risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial