hybrid predictive model, combining statistical properties and historical
data training. In order
Gilyazova, I.,
Timasheva, Ya.,
Karunas, A.,
Kazantseva, A.,
Sufianov, A.,
Mashkin, A.,
Korytina, G.,
Wang, Ya.,
Gareev, I.,
Khusnutdinova, E. (2023) forms of the disease. A lot of literature
data is devoted to the pathogenetic mechanisms of COVID-19
Rafikova, G.,
Piatnitskaia, S.,
Shapovalova, E.,
Chugunov, S.,
Kireev, V.,
Ialiukhova, D.,
Bilyalov, A.,
Pavlov, V.,
Kzhyshkowska, J. (2023) modification and pointed out the need for
data integration using mathematic
modelling of the multiple ceramic
NC-TE), which can be used to design epigenetic gene networks in ontogenesis. Based on
the
data accumulated
Beylerli, Ozal,
Gareev, Ilgiz,
Musaev, Elmar,
Roumiantsev, Sergey,
Chekhonin, Vladimir,
Ahmad, Aamir,
Chao, Yuan,
Yang, Guang (2025) , and convection-enhanced delivery, are also explored. Furthermore, the manuscript reviews clinical trial
dataErdman, V.V.,
Karimov, D.D.,
Tuktarova, I.A.,
Petintseva, A.A.,
Timasheva, Y.R.,
Nasibullin, T.R. (2025) expectancy was carried out. Survival and mortality
data were obtained for 1382 elderly people who were