Results 121 to 130 of about 502,846 (209)

[The use of TruCare III insulin pump in patients with type 1 diabetes mellitus]. [PDF]

Probl Endokrinol (Mosk)
Barsukov IA, Demina AA.
europepmc   +1 more source

[On the occasion of the anniversary of the editor-in-chief of the journal "Problems of Endocrinology" Academician of the Russian Academy of Sciences Ivan I. Dedov]. [PDF]

Probl Endokrinol (Mosk)
Editorial A.
europepmc   +1 more source

[Adrenal glands stem cells: general signaling pathways]. [PDF]

Probl Endokrinol (Mosk), 2021
Glazova OV, Vorontsova MV, Shevkova LV, Sakr N, Onyanov NA, Kaziakhmedova SA, Volchkov PY.   +6 more
europepmc   +1 more source

Deep learning approach to the estimation of the ratio of reproductive modes in a partially clonal population. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Nikolaeva TA, Poroshina AA, Sherbakov DY.   +2 more
europepmc   +1 more source

[Role of preoperative visualization in the choice of surgery for primary hyperparathyroidism]. [PDF]

Probl Endokrinol (Mosk), 2022
Buzanakov DM, Sleptsov IV, Semenov AA, Chernikov RA, Novokshonov KY, Karelina YV, Timofeeva NI, Yanevskaya LG, Dzhumatov TA.   +8 more
europepmc   +1 more source

[Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism]. [PDF]

Probl Endokrinol (Mosk)
Golounina OO, Belaya ZE, Voronov KA, Solodovnikov AG, Rozhinskaya LY, Melnichenko GA, Mokrysheva NG, Dedov II.   +7 more
europepmc   +1 more source

[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training]. [PDF]

Probl Endokrinol (Mosk)
Yalaev BI, Novikov AV, Minniakhmetov IR, Khusainova RI.   +3 more
europepmc   +1 more source

[The causes of obesity relapse after weight loss]. [PDF]

Probl Endokrinol (Mosk), 2023
Guseinova RM, Dorovskikh AV, Vasyukova OV, Shestakova EA, Okorokov PL, Mokrysheva NG.   +5 more
europepmc   +1 more source

Modelling international spread of clade IIb mpox on the Asian continent. [PDF]

Bull World Health Organ
Asakura TR, Jung SM, Murayama H, Ghaznavi C, Sakamoto H, Teshima A, Miura F, Endo A.   +7 more
europepmc   +1 more source

Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data. [PDF]

Vavilovskii Zhurnal Genet Selektsii, 2023
Fu X, Tamozhnikov SS, Saprygin AE, Istomina NA, Klemeshova DI, Savostyanov AN.   +5 more
europepmc   +1 more source