Search Results - "Krivonosov, Mikhail I."

Sex-Stratified Machine Learning for the Prediction of Post-COVID Condition: A Longitudinal Cohort Study.

Authors: Krivonosov, Mikhail I. Pazukhina, Ekaterina Rumyantsev, Mikhail et al.

Source: Journal of Clinical Medicine. May2026, Vol. 15 Issue 9, p3367. 15p.

Synolitic Graph Neural Networks for MRI-Derived Radiomic-Based Prediction of Prostate Cancer Progression on Active Surveillance.

Authors: Krivonosov, Mikhail I. Trukhanov, Arseniy Sushentsev, Nikita et al.

Source: Cancers. May2026, Vol. 18 Issue 9, p1389. 16p.

Evaluating the Effect of Climate on Viral Respiratory Diseases Among Children Using AI.

Authors: Krivonosov, Mikhail I. Pazukhina, Ekaterina Zaikin, Alexey et al.

Source: Journal of Clinical Medicine. Dec2024, Vol. 13 Issue 23, p7474. 8p.

Effects of SRC and IKKβ Kinase Inhibition in Ischemic Factors Modeling In Vitro and In Vivo.

Authors: Loginova, Maria M. Novozhilova, Maria O. Urazov, Mark D. et al.

Source: Applied Sciences (2076-3417); Apr2022, Vol. 12 Issue 7, p3469-3469, 16p

Unravelling the Collective Calcium Dynamics of Physiologically Aged Astrocytes under a Hypoxic State In Vitro.

Authors: Mitroshina, Elena V. Krivonosov, Mikhail I. Pakhomov, Alexander M. et al.

Source: International Journal of Molecular Sciences. Aug2023, Vol. 24 Issue 15, p12286. 17p.

Novel Algorithm of Network Calcium Dynamics Analysis for Studying the Role of Astrocytes in Neuronal Activity in Alzheimer's Disease Models.

Authors: Mitroshina, Elena V. Pakhomov, Alexander M. Krivonosov, Mikhail I. et al.

Source: International Journal of Molecular Sciences. Dec2022, Vol. 23 Issue 24, p15928. 28p.

Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO): A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study.

Authors: Gaba, Faiza Mohammadi, Sara Mahvash Krivonosov, Mikhail I. et al.

Source: Cancers. Jun2024, Vol. 16 Issue 11, p2021. 11p.

Unravelling Contributions of Astrocytic Connexin 43 to the Functional Activity of Brain Neuron–Glial Networks under Hypoxic State In Vitro.

Authors: Mishchenko, Tatiana A. Yarkov, Roman S. Saviuk, Mariia O. et al.

Source: Membranes. Oct2022, Vol. 12 Issue 10, p948-N.PAG. 18p.

Signatures of the Consolidated Response of Astrocytes to Ischemic Factors In Vitro.

Authors: Mitroshina, Elena V. Krivonosov, Mikhail I. Burmistrov, Dmitriy E. et al.

Source: International Journal of Molecular Sciences. Nov2020, Vol. 21 Issue 21, p7952. 1p.

Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.

Authors: Abrego, Luis Zaikin, Alexey Marino, Ines P. et al.

Source: Cancer Medicine. Apr2024, Vol. 13 Issue 7, p1-14. 14p.

Neuroprotective Effect of Kinase Inhibition in Ischemic Factor Modeling In Vitro.

Authors: Mitroshina, Elena V. Loginova, Maria M. Savyuk, Maria O. et al.

Source: International Journal of Molecular Sciences. Feb2021, Vol. 22 Issue 4, p1885-1885. 1p.

Inhibition of Neuronal Necroptosis Mediated by RIPK1 Provides Neuroprotective Effects on Hypoxia and Ischemia In Vitro and In Vivo.

Authors: Mitroshina, Elena V. Loginova, Maria M. Yarkov, Roman S. et al.

Source: International Journal of Molecular Sciences. Jan2022, Vol. 23 Issue 2, p735-N.PAG. 1p.