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Kirill Kochetov

Showing results (1-10 of 7) with videos related to

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Frontiers in Aging|July 13, 2022
Adapting Blood DNA Methylation Aging Clocks for Use in Saliva Samples With Cell-type DeconvolutionFedor Galkin, Kirill Kochetov, Polina Mamoshina, et al.
Aging|December 11, 2020
PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligenceAlex Zhavoronkov, Kirill Kochetov, Peter Diamandis, et al.
Aging and Disease|August 3, 2021
DeepMAge: A Methylation Aging Clock Developed with Deep LearningFedor Galkin, Polina Mamoshina, Kirill Kochetov, et al.
Aging|June 20, 2022
Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stabilityFedor Galkin, Kirill Kochetov, Michelle Keller, et al.
Aging|September 28, 2022
Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adultsFedor Galkin, Kirill Kochetov, Diana Koldasbayeva, et al.
Scientific Reports|January 16, 2019
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in SmokersPolina Mamoshina, Kirill Kochetov, Franco Cortese, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|January 18, 2018
Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient PopulationsPolina Mamoshina, Kirill Kochetov, Evgeny Putin, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Aging|July 13, 2022
Adapting Blood DNA Methylation Aging Clocks for Use in Saliva Samples With Cell-type DeconvolutionFedor Galkin, Kirill Kochetov, Polina Mamoshina, et al.
Aging|December 11, 2020
PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligenceAlex Zhavoronkov, Kirill Kochetov, Peter Diamandis, et al.
Aging and Disease|August 3, 2021
DeepMAge: A Methylation Aging Clock Developed with Deep LearningFedor Galkin, Polina Mamoshina, Kirill Kochetov, et al.
Aging|June 20, 2022
Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stabilityFedor Galkin, Kirill Kochetov, Michelle Keller, et al.
Aging|September 28, 2022
Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adultsFedor Galkin, Kirill Kochetov, Diana Koldasbayeva, et al.
Scientific Reports|January 16, 2019
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in SmokersPolina Mamoshina, Kirill Kochetov, Franco Cortese, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|January 18, 2018
Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient PopulationsPolina Mamoshina, Kirill Kochetov, Evgeny Putin, et al.
Pageof 1