Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Quentin Vanhaelen"'
Autor:
Nicola Marino, Guido Putignano, Simone Cappilli, Emmanuele Chersoni, Antonella Santuccione, Giuliana Calabrese, Evelyne Bischof, Quentin Vanhaelen, Alex Zhavoronkov, Bryan Scarano, Alessandro D. Mazzotta, Enrico Santus
Publikováno v:
Frontiers in Aging, Vol 4 (2023)
While in the past technology has mostly been utilized to store information about the structural configuration of proteins and molecules for research and medical purposes, Artificial Intelligence is nowadays able to learn from the existing data how to
Externí odkaz:
https://doaj.org/article/d7bf248a7ed541c0b5364cadb1ab9e02
Autor:
Vladimir Naumov, Evgeny Putin, Stefan Pushkov, Ekaterina Kozlova, Konstantin Romantsov, Alexander Kalashnikov, Fedor Galkin, Nina Tihonova, Anastasia Shneyderman, Egor Galkin, Arsenii Zinkevich, Stephanie M Cope, Ramanathan Sethuraman, Tudor I Oprea, Alexander T Pearson, Savas Tay, Nishant Agrawal, Alexey Dubovenko, Quentin Vanhaelen, Ivan Ozerov, Alex Aliper, Evgeny Izumchenko, Alex Zhavoronkov
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009183 (2021)
Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several
Externí odkaz:
https://doaj.org/article/9ddf87614ae645bab219cc0619106297
Autor:
Ivan V. Ozerov, Ksenia V. Lezhnina, Evgeny Izumchenko, Artem V. Artemov, Sergey Medintsev, Quentin Vanhaelen, Alexander Aliper, Jan Vijg, Andreyan N. Osipov, Ivan Labat, Michael D. West, Anton Buzdin, Charles R. Cantor, Yuri Nikolsky, Nikolay Borisov, Irina Irincheeva, Edward Khokhlovich, David Sidransky, Miguel Luiz Camargo, Alex Zhavoronkov
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
Pathway analysis aids interpretation of large-scale gene expression data, but existing algorithms fall short of providing robust pathway identification. The method introduced here includes coexpression analysis and gene importance estimation to robus
Externí odkaz:
https://doaj.org/article/2c57748e19064775b999e9d5f44aa2b9
Autor:
Quentin Vanhaelen
Publikováno v:
Mathematical Methods in the Applied Sciences. 45:928-955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b633651ecdc48cb450346913301c833
https://doi.org/10.1002/mma.7824
https://doi.org/10.1002/mma.7824
Autor:
Sagie Davidovich, Tudor I. Oprea, Alex Zhavoronkov, John P. Overington, Jeremy M Levin, Thomas Clozel, Charles R. Cantor, Evelyne Bischof, Quentin Vanhaelen
Publikováno v:
Nature Biotechnology
Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an infodemic?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19ebb458257775308942457e46c85b5
https://doi.org/10.1038/s41587-020-0686-x
https://doi.org/10.1038/s41587-020-0686-x
Publikováno v:
ACS Med Chem Lett
[Image: see text] Generative adversarial networks (GANs), first published in 2014, are among the most important concepts in modern artificial intelligence (AI). Bridging deep learning and game theory, GANs are used to generate or “imagine” new ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc5e3d1cb9ba2915cc2ad1c48dec826
https://doi.org/10.1021/acsmedchemlett.0c00088
https://doi.org/10.1021/acsmedchemlett.0c00088
Autor:
Konstantin Romantsov, Alexey Dubovenko, Ivan V. Ozerov, Savaş Tay, Alexander T. Pearson, Alexander Kalashnikov, Ramanathan Sethuraman, Tudor I. Oprea, Nishant Agrawal, Egor Galkin, Alex Zhavoronkov, Anastasia Shneyderman, Quentin Vanhaelen, Ekaterina Kozlova, Arsenii Zinkevich, Vladimir Naumov, Nina Tihonova, Evgeny Putin, Alexander Aliper, Evgeny Izumchenko, Stefan Pushkov, Fedor Galkin, Stephanie M. Cope
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009183 (2021)
PLoS Computational Biology
Naumov, V, Putin, E, Pushkov, S, Kozlova, E, Romantsov, K, Kalashnikov, A, Galkin, F, Tihonova, N, Shneyderman, A, Galkin, E, Zinkevich, A, Cope, S M, Sethuraman, R, Oprea, T I, Pearson, A T, Tay, S, Agrawal, N, Dubovenko, A, Vanhaelen, Q, Ozerov, I, Aliper, A, Izumchenko, E & Zhavoronkov, A 2021, ' COVIDomic : A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity ', P L o S One, vol. 17, no. 7, e1009183 . https://doi.org/10.1371/journal.pcbi.1009183
PLoS Computational Biology
Naumov, V, Putin, E, Pushkov, S, Kozlova, E, Romantsov, K, Kalashnikov, A, Galkin, F, Tihonova, N, Shneyderman, A, Galkin, E, Zinkevich, A, Cope, S M, Sethuraman, R, Oprea, T I, Pearson, A T, Tay, S, Agrawal, N, Dubovenko, A, Vanhaelen, Q, Ozerov, I, Aliper, A, Izumchenko, E & Zhavoronkov, A 2021, ' COVIDomic : A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity ', P L o S One, vol. 17, no. 7, e1009183 . https://doi.org/10.1371/journal.pcbi.1009183
Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ca3107940c41e34c05fc2b251093573
https://doaj.org/article/9ddf87614ae645bab219cc0619106297
https://doaj.org/article/9ddf87614ae645bab219cc0619106297
Autor:
Daniela Bakula, Alex Zhavoronkov, Nir Barzilai, Anastasia Georgievskaya, Andrea Ablasser, Martin Immanuel Bittner, Alexander Tyshkovskiy, Martin Borch Jensen, Morten Scheibye-Knudsen, Ana Martin-Villalba, Unmesh Lal, Quentin Vanhaelen, Cornelis F. Calkhoven, Adriano Aguzzi, Jerome N. Feige, Alexey Moskalev, Andrei V. Gudkov, Danica Chen, Aubrey de Grey, Michael A. Petr, Ivan V. Ozerov, David C. Rubinsztein, Adam Antebi, Tyler Golato, Matt Kaeberlein, Thorsten Hoppe, Pekka Katajisto, Vadim N. Gladyshev, Brian K. Kennedy
Publikováno v:
Aging (Albany NY)
Bakula, D, Ablasser, A, Aguzzi, A, Antebi, A, Barzilai, N, Bittner, M I, Jensen, M B, Calkhoven, C F, Chen, D, de Grey, A D N J, Feige, J N, Georgievskaya, A, Gladyshev, V N, Golato, T, Gudkov, A V, Hoppe, T, Kaeberlein, M, Katajisto, P, Kennedy, B K, Lal, U, Martin-Villalba, A, Moskalev, A A, Ozerov, I, Petr, M A, Reason, Rubinsztein, D C, Tyshkovskiy, A, Vanhaelen, Q, Zhavoronkov, A & Scheibye-Knudsen, M 2019, ' Latest advances in aging research and drug discovery ', Aging, vol. 11, no. 22, pp. 9971-9981 . https://doi.org/10.18632/aging.102487
Aging, 11(22), 9971-9981. Impact Journals LLC
Bakula, D, Ablasser, A, Aguzzi, A, Antebi, A, Barzilai, N, Bittner, M I, Jensen, M B, Calkhoven, C F, Chen, D, de Grey, A D N J, Feige, J N, Georgievskaya, A, Gladyshev, V N, Golato, T, Gudkov, A V, Hoppe, T, Kaeberlein, M, Katajisto, P, Kennedy, B K, Lal, U, Martin-Villalba, A, Moskalev, A A, Ozerov, I, Petr, M A, Reason, Rubinsztein, D C, Tyshkovskiy, A, Vanhaelen, Q, Zhavoronkov, A & Scheibye-Knudsen, M 2019, ' Latest advances in aging research and drug discovery ', Aging, vol. 11, no. 22, pp. 9971-9981 . https://doi.org/10.18632/aging.102487
Aging, 11(22), 9971-9981. Impact Journals LLC
An increasing aging population poses a significant challenge to societies worldwide. A better understanding of the molecular, cellular, organ, tissue, physiological, psychological, and even sociological changes that occur with aging is needed in orde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7efe684cc8796f5b8c1d74b1e108436
https://doi.org/10.18632/aging.102487
https://doi.org/10.18632/aging.102487
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a4d48ae2524ffbe2d92de224bf95d71
https://doi.org/10.1016/j.arr.2018.11.003
https://doi.org/10.1016/j.arr.2018.11.003
Autor:
Jeremy M, Levin, Tudor I, Oprea, Sagie, Davidovich, Thomas, Clozel, John P, Overington, Quentin, Vanhaelen, Charles R, Cantor, Evelyne, Bischof, Alex, Zhavoronkov
Publikováno v:
Nature biotechnology. 38(10)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1dba1d62b2ca8074710282fe0731dba6
https://pubmed.ncbi.nlm.nih.gov/32929264
https://pubmed.ncbi.nlm.nih.gov/32929264