Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Polina Mamoshina"'
Publikováno v:
Frontiers in Aging, Vol 2 (2021)
DeepMAge is a deep-learning DNA methylation aging clock that measures the organismal pace of aging with the information from human epigenetic profiles. In blood samples, DeepMAge can predict chronological age within a 2.8 years error margin, but in s
Externí odkaz:
https://doaj.org/article/104d8b3cedd54a02bfff5c2366dd587e
Autor:
Fedor Galkin, Polina Mamoshina, Alex Aliper, Evgeny Putin, Vladimir Moskalev, Vadim N. Gladyshev, Alex Zhavoronkov
Publikováno v:
iScience, Vol 23, Iss 6, Pp 101199- (2020)
Summary: The human gut microbiome is a complex ecosystem that both affects and is affected by its host status. Previous metagenomic analyses of gut microflora revealed associations between specific microbes and host age. Nonetheless there was no reli
Externí odkaz:
https://doaj.org/article/35bf281d919a4c76a5b82fe80bd5d563
Publikováno v:
Frontiers in Pharmacology, Vol 11 (2020)
Computational methods can increase productivity of drug discovery pipelines, through overcoming challenges such as cardiotoxicity identification. We demonstrate prediction and preservation of cardiotoxic relationships for six drug-induced cardiotoxic
Externí odkaz:
https://doaj.org/article/ed134cbed0274f1a98fea6479d897c8c
Publikováno v:
Life, Vol 11, Iss 8, p 730 (2021)
Identifying prognostic biomarkers and risk stratification for COVID-19 patients is a challenging necessity. One of the core survival factors is patient age. However, chronological age is often severely biased due to dormant conditions and existing co
Externí odkaz:
https://doaj.org/article/994cda6d4a97400887bb6bce1a2f44a1
Autor:
Polina Mamoshina, Marina Volosnikova, Ivan V. Ozerov, Evgeny Putin, Ekaterina Skibina, Franco Cortese, Alex Zhavoronkov
Publikováno v:
Frontiers in Genetics, Vol 9 (2018)
For the past several decades, research in understanding the molecular basis of human muscle aging has progressed significantly. However, the development of accessible tissue-specific biomarkers of human muscle aging that may be measured to evaluate t
Externí odkaz:
https://doaj.org/article/f1f6043a43e944cb82ec3fa55e825912
Publikováno v:
Aging (Albany NY)
Multiple recent advances in machine learning enabled computer systems to exceed human performance in many tasks including voice, text, and speech recognition and complex strategy games. Aging is a complex multifactorial process driven by and resultin
Autor:
Evelyne Bischof, John Zhang, Austin J. Parish, Fedor Galkin, Polina Mamoshina, Alex Zhavoronkov
Publikováno v:
Life
Volume 11
Issue 8
Life, Vol 11, Iss 730, p 730 (2021)
Volume 11
Issue 8
Life, Vol 11, Iss 730, p 730 (2021)
Identifying prognostic biomarkers and risk stratification for COVID-19 patients is a challenging necessity. One of the core survival factors is patient age. However, chronological age is often severely biased due to dormant conditions and existing co
Publikováno v:
Cell Reports Medicine
Summary Cardiotoxicity, defined as toxicity that affects the heart, is one of the most common adverse drug effects. Numerous drugs have been shown to have the potential to induce lethal arrhythmias by affecting cardiac electrophysiology, which is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::993548cdbd4bd3bd1b274958fa3eb540
https://doi.org/10.1016/j.xcrm.2021.100216
https://doi.org/10.1016/j.xcrm.2021.100216
Autor:
Polina Mamoshina, Alex Zhavoronkov
Publikováno v:
Trends in Pharmacological Sciences. 40:546-549
First published in 2016, predictors of chronological and biological age developed using deep learning (DL) are rapidly gaining popularity in the aging research community. These deep aging clocks can be used in a broad range of applications in the pha
Autor:
Morten Scheibye-Knudsen, Polina Mamoshina, Alexander Aliper, Quentin Vanhaelen, Alex Zhavoronkov, Alexey Moskalev
Publikováno v:
Zhavoronkov, A, Mamoshina, P, Vanhaelen, Q, Scheibye-Knudsen, M, Moskalev, A & Aliper, A 2019, ' Artificial intelligence for aging and longevity research : Recent advances and perspectives ', Ageing Research Reviews, vol. 49, pp. 49-66 . https://doi.org/10.1016/j.arr.2018.11.003
The applications of modern artificial intelligence (AI) algorithms within the field of aging research offer tremendous opportunities. Aging is an almost universal unifying feature possessed by all living organisms, tissues, and cells. Modern deep lea