identifying the phenotype of TAMs and the corresponding
molecular biomarkers can
predict the aggressiveness
Klen, E.E,
Nikitina, I.L.,
Makarova, N.N,
Miftakhova, A.F,
Ivanova, O.A,
Khaliullin, F.A.,
Alekhin, E.K. (2017) characteristics (correspondence to Lipinski’s rule of five) were
predicted (Osiris Property Explorer
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
Enikeeva, Kadriia,
Rafikova, Guzel,
Sharifyanova, Yuliya,
Mulyukova, Diana,
Vanzin, Alexandr,
Pavlov, Valentin (2024) the effectiveness of treatment, and
predict the therapeutic effect. Under these circumstances, it becomes crucial
Pang, HY,
Zhang, WH,
Liang, XW,
Zhang, ZQ,
Chen, XL,
Zhao, LY,
Liu, K,
Galiullin, D,
Yang, K,
Chen, XZ,
Hu, JK (2021) markers and develop an effective prognostic score system to
predict the prognosis of GC patients.
Methods
Song, Wanqing,
Chen, Jianxue,
Wang, Zhen,
Kudreyko, Aleksey,
Qi, Deyu,
Zio, Enrico (2023) The capacity regeneration phenomenon is often overlooked in terms of
prediction of the remaining
Deng, W.,
Gao, Y.,
Chen, J.,
Kudreyko, A.,
Cattani, C.,
Zio, E.,
Song, W. (2023) In this paper, an adaptive remaining useful life
prediction model is proposed for electric
vehicle
He, X.,
Wang, Z.,
Li, Y.,
Khazhina, S.,
Du, W.,
Wang, J.,
Wang, W. (2022) fault mode-assisted gated recurrent unit (FGRU) life
prediction method is used to guide the
predictive