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1دورية أكاديمية
المؤلفون: Fedor Galkin, Kirill Kochetov, Polina Mamoshina, Alex Zhavoronkov
المصدر: Frontiers in Aging, Vol 2 (2021)
مصطلحات موضوعية: aging, biogerontology, epigenetics, aging clock, deep learning, cell-type deconvolution, Geriatrics, RC952-954.6
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fragi.2021.697254/fullTest; https://doaj.org/toc/2673-6217Test
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المؤلفون: Fedor Galkin, Kirill Kochetov, Diana Koldasbayeva, Manuel Faria, Helene H. Fung, Amber X. Chen, Alex Zhavoronkov
المصدر: Aging. 14:7206-7222
مصطلحات موضوعية: China, Retirement, Aging, Marital Status, Humans, Longitudinal Studies, Cell Biology, Aged
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3afac1dea47fb4b422652410eec5e901Test
https://doi.org/10.18632/aging.204264Test -
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المصدر: Aging. 14:4935-4958
مصطلحات موضوعية: Aging, Artificial Intelligence, Humans, Neural Networks, Computer, Cell Biology, Algorithms
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1f5efde38e25dd413a4e9157a3ba7cTest
https://doi.org/10.18632/aging.204061Test -
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المؤلفون: Alex Zhavoronkov, Peter Diamandis, Maria Mitina, Kirill Kochetov
المصدر: Aging (Albany NY)
مصطلحات موضوعية: Adult, Male, Aging, Biodata, media_common.quotation_subject, Health Behavior, psychology of aging, Mindset, Context (language use), Perception, Health Status Indicators, Humans, Social Behavior, media_common, Aged, aging clock, business.industry, Deep learning, Age Factors, deep learning, Cell Biology, Middle Aged, Models, Theoretical, artificial intelligence, United States, Variety (cybernetics), Behavioral data, Mental Health, Quality of Life, Female, Artificial intelligence, Neural Networks, Computer, Psychology, Blood parameters, business, Cognitive psychology, Research Paper, subjective age
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b37ef551705dd6a1c90a52324839d90Test
http://europepmc.org/articles/PMC7762465Test -
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المؤلفون: Andrey Filchenkov, Kirill Kochetov
المصدر: CCRIS
مصطلحات موضوعية: Adversarial system, business.industry, Computer science, Speech recognition, Deep learning, Classifier (linguistics), Lung sound, Moderate amount, Artificial intelligence, business, Generative adversarial network, Generative grammar
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::a4c667c35a4c068b6a4224c933d64c9eTest
https://doi.org/10.1145/3437802.3437821Test -
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المصدر: Aging and Disease
مصطلحات موضوعية: DNA methylation, Artificial neural network, epigenetics, business.industry, Computer science, Deep learning, aging, Cell Biology, Methylation, Computational biology, artificial intelligence, Orginal Article, Pathology and Forensic Medicine, CpG site, Relevance (information retrieval), Neurology (clinical), Epigenetics, Artificial intelligence, Geriatrics and Gerontology, Set (psychology), business
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6241219db0af4e024942e1b8568f3f5fTest
https://pubmed.ncbi.nlm.nih.gov/34341706Test -
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المؤلفون: Franco Cortese, Olga Kovalchuk, Alexander Aliper, Alex Zhavoronkov, Lee Uhn, Polina Mamoshina, Won-Suk Lee, Kirill Kochetov, Sung-Min Ahn, Evgeny Putin, Neil Skjodt, Morten Scheibye-Knudsen
المصدر: Mamoshina, P, Kochetov, K, Putin, E, Cortese, F, Aliper, A, Lee, W S, Ahn, S M, Uhn, L, Skjodt, N, Kovalchuk, O, Scheibye-Knudsen, M & Zhavoronkov, A 2018, ' Population specific biomarkers of human aging : A big data study using South Korean, Canadian, and Eastern European patient populations ', Journals of Gerontology-Series A Biological Sciences and Medical Sciences, vol. 73, no. 11, pp. 1482-1490 . https://doi.org/10.1093/gerona/gly005Test
The Journals of Gerontology Series A: Biological Sciences and Medical Sciencesمصطلحات موضوعية: Blood Glucose, Male, 0301 basic medicine, Aging, Erythrocytes, Biological age, Ethnic group, Datasets as Topic, Machine Learning, Hemoglobins, Population specific, Urea, Medicine, American population, Europe, Eastern, Aged, 80 and over, education.field_of_study, Confounding, Articles, Middle Aged, Eastern european, Cholesterol, The Journal of Gerontology: Biological Sciences, Female, Adult, Canada, National Health and Nutrition Examination Survey, Population, Young Adult, 03 medical and health sciences, Sex Factors, Deep Learning, Republic of Korea, Biochemistry aging clocks, Humans, education, Serum Albumin, Triglycerides, Aged, Deep Neural Networks, Models, Statistical, business.industry, Sodium, Health Surveys, 030104 developmental biology, Neural Networks, Computer, Geriatrics and Gerontology, business, Biomarkers, Demography
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::994a981974ac2f153ce6e1454441530cTest
https://doi.org/10.1093/gerona/gly005Test -
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مصطلحات موضوعية: Omics data, Transcriptome, Normalization (statistics), Computer science, Age prediction, Transcriptome profiling, Deep neural networks, Genomics, Batch effect, Computational biology
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86414847eee6a62b5d7445ce405741ecTest
https://doi.org/10.1101/531863Test -
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المؤلفون: Olga Kovalchuk, Alexander Aliper, Alex Zhavoronkov, Neil Skjodt, Kirill Kochetov, Franco Cortese, Polina Mamoshina, Anna Kovalchuk, Charles R. Cantor, Evgeny Putin, Morten Scheibye-Knudsen
المصدر: Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports
Mamoshina, P, Kochetov, K, Cortese, F, Kovalchuk, A, Aliper, A, Putin, E, Scheibye-Knudsen, M, Cantor, C R, Skjodt, N M, Kovalchuk, O & Zhavoronkov, A 2019, ' Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers ', Scientific Reports, vol. 9, 142 . https://doi.org/10.1038/s41598-018-35704-wTestمصطلحات موضوعية: 0301 basic medicine, Tobacco use, lcsh:Medicine, Physiology, Disease, Article, Fasting glucose, 03 medical and health sciences, Deep Learning, Sex Factors, 0302 clinical medicine, Artificial Intelligence, Risk Factors, medicine, Humans, lcsh:Science, Smokers, Multidisciplinary, Blood biochemistry, business.industry, Smoking, lcsh:R, Age Factors, Cancer, Aging, Premature, Chronological age, Middle Aged, medicine.disease, Accelerated aging, Blood Cell Count, 030104 developmental biology, lcsh:Q, Smoking status, Supervised Machine Learning, business, Blood Chemical Analysis, 030217 neurology & neurosurgery
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1373112a7292414e6112e6b617038a5Test
https://doi.org/10.1038/s41598-018-35704-wTest -
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المؤلفون: Charles R. Cantor, Alex Zhavoronkov, Franco Cortese, Morten Scheibye-Knudsen, Polina Mamoshina, Evgeny Putin, Anna Kovalchuk, Olga Kovalchuk, Alexander Aliper, Neil Skjodt, Kirill Kochetov
المصدر: Tobacco, smoking control and health education.
مصطلحات موضوعية: Identification (information), medicine.diagnostic_test, business.industry, medicine, Blood test, Pattern recognition, Artificial intelligence, business, Neural network analysis
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8a80306e81b99dd1dd0dfffff506366bTest
https://doi.org/10.1183/13993003.congress-2018.oa3814Test