Guan, XX,
Zhang, YW,
Gareev, I,
Beylerli, O,
Li, XY,
Lu, GT,
Lv, L,
Hai, X (2021) on chromosome 10 (PTEN).
Methods: This study was comprised of two
models: oxygen-glucose deprivation (OGD
Timasheva, Y,
Nasibullin, TR,
Tuktarova, IA,
Erdman, VV,
Galiullin, TR,
Zaplakhova, OV,
Bakhtiiarova, KZ (2022) tested using logistic regression analysis under additive genetic
model adjusted for sex. Meta
-agent technology in
modeling the interaction between a doctor and a patient to form a personalized approach
Yalaev, Bulat,
Deev, Roman,
Tyurin, Anton,
Salakhov, Ramil,
Smirnov, Kirill,
Eremkina, Anna,
Mokrysheva, Natalia,
Minniakhmetov, Ildar,
Khusainova, Rita (2024) models were developed, among which the
model for predicting osteoporosis in general in women (Area Under
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, Yanina,
Kochetova, Olga,
Balkhiyarova, Zhanna,
Korytina, Gulnaz,
Prokopenko, Inga,
Nouwen, Arie (2025) , we evaluated the prognostic capability of a polygenic score
model for MetS risk, both independently