| A review of the biomedical innovations for healthy longevity A Moskalev, V Anisimov, A Aliper, A Artemov, K Asadullah, D Belsky, ... Aging (Albany NY) 9 (1), 7, 2017 | 33 | 2017 |
| Adversarial Threshold Neural Computer for Molecular de Novo Design E Putin, A Asadulaev, Q Vanhaelen, Y Ivanenkov, AV Aladinskaya, ... Molecular pharmaceutics 15 (10), 4386-4397, 2018 | 219 | 2018 |
| Applications of deep learning in biomedicine P Mamoshina, A Vieira, E Putin, A Zhavoronkov Molecular pharmaceutics 13 (5), 1445-1454, 2016 | 768 | 2016 |
| Biological data signatures of aging and methods of determining a biological aging clock AM Aliper, EO Putin, A Zavoronkovs US Patent App. 16/883,205, 2020 | 4 | 2020 |
| Blood biochemistry analysis to detect smoking status and quantify accelerated aging in smokers P Mamoshina, K Kochetov, F Cortese, A Kovalchuk, A Aliper, E Putin, ... Scientific reports 9 (1), 1-10, 2019 | 89 | 2019 |
| Chemistry42: An AI-based platform for de novo molecular design YA Ivanenkov, A Zhebrak, D Bezrukov, B Zagribelnyy, V Aladinskiy, ... arXiv preprint arXiv:2101.09050, 2021 | 4 | 2021 |
| Combating data incompetence in pollen images detection and classification for pollinosis prevention N Khanzhina, A Filchenkov, N Minaeva, L Novoselova, M Petukhov, ... Computers in biology and medicine 140, 105064, 2022 | 12 | 2022 |
| Continuous Histogram Loss: Beyond Neural Similarity A Zholus, E Putin arXiv preprint arXiv:2004.02830, 2020 | 2 | 2020 |
| COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity V Naumov, E Putin, S Pushkov, E Kozlova, K Romantsov, A Kalashnikov, ... PLoS computational biology 17 (7), e1009183, 2021 | 7 | 2021 |
| Deep biomarkers of human aging: application of deep neural networks to biomarker development E Putin, P Mamoshina, A Aliper, M Korzinkin, A Moskalev, A Kolosov, ... Aging (Albany NY) 8 (5), 1021, 2016 | 373 | 2016 |
| Edge message passing neural network A Zavoronkovs, EO Putin, D Leonov US Patent App. 17/198,057, 2021 | 2 | 2021 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... Iscience 23 (6), 101199, 2020 | 112 | 2020 |
| Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects F Galkin, A Aliper, E Putin, I Kuznetsov, VN Gladyshev, A Zhavoronkov BioRxiv, 507780, 2018 | 80 | 2018 |
| Identification of novel antibacterials using machine learning techniques YA Ivanenkov, A Zhavoronkov, RS Yamidanov, IA Osterman, PV Sergiev, ... Frontiers in pharmacology, 913, 2019 | 36 | 2019 |
| Identification of smokingstatus from routine blood test results using deep neural network analysis. N Skjodt, P Mamoshina, K Kochetov, F Cortese, A Kovalchuk, A Aliper, ... European Respiratory Journal 52 (suppl 62), 2018 | 1 | 2018 |
| In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state A Aliper, AV Belikov, A Garazha, L Jellen, A Artemov, M Suntsova, ... Aging (Albany NY) 8 (9), 2127, 2016 | 64 | 2016 |
| Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes AV Artemov, E Putin, Q Vanhaelen, A Aliper, IV Ozerov, A Zhavoronkov BioRxiv, 095653, 2016 | 32 | 2016 |
| Machine learning on human muscle transcriptomic data for biomarker discovery and tissue-specific drug target identification P Mamoshina, M Volosnikova, IV Ozerov, E Putin, E Skibina, F Cortese, ... Frontiers in genetics 9, 242, 2018 | 185 | 2018 |
| Malware Detection Using Merged Feature Spaces and Stacked Classifiers E Putin, A Filchenkov Advanced Science Letters 22 (10), 2995-2998, 2016 | | 2016 |
| Noise masking recurrent neural network for respiratory sound classification K Kochetov, E Putin, M Balashov, A Filchenkov, A Shalyto International Conference on Artificial Neural Networks, 208-217, 2018 | 95 | 2018 |
