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Ageing Research Reviews
|
August 27, 2022
An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer's disease
Maxim N Shokhirev, Adiv A Johnson
Geroscience
|
August 10, 2025
Analysis of variability and epigenetic age prediction across microarray and methylation sequencing technologies
Maxim N Shokhirev, Adiv A Johnson
Geroscience
|
March 6, 2025
Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAge
Maxim N Shokhirev, Adiv A Johnson
Aging Cell
|
December 18, 2020
Modeling the human aging transcriptome across tissues, health status, and sex
Maxim N Shokhirev, Adiv A Johnson
Rejuvenation Research
|
September 6, 2021
Pan-Tissue Aging Clock Genes That Have Intimate Connections with the Immune System and Age-Related Disease
Adiv A Johnson, Maxim N Shokhirev
Frontiers in Genetics
|
October 17, 2025
Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factors
Maxim N Shokhirev, Adiv A Johnson
Aging Cell
|
October 11, 2024
Contextualizing aging clocks and properly describing biological age
Adiv A Johnson, Maxim N Shokhirev
Ageing Research Reviews
|
July 22, 2025
Demystifying common DNA methylation sites that promote the ability of CheekAge to associate with health and disease
Adiv A Johnson, Maxim N Shokhirev
Biogerontology
|
June 18, 2025
First-generation versus next-generation epigenetic aging clocks: Differences in performance and utility
Adiv A Johnson, Maxim N Shokhirev
Expert Review of Molecular Diagnostics
|
June 19, 2026
Explainable epigenetic aging clocks: an overview of existing AI models and approaches
Adiv A Johnson, Maxim N Shokhirev
Page
of 8
Search research articles
Search
Showing results (1-10 of 73) with videos related to
Sort By:
Page
of 8
Ageing Research Reviews
|
August 27, 2022
An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer's disease
Maxim N Shokhirev, Adiv A Johnson
Geroscience
|
August 10, 2025
Analysis of variability and epigenetic age prediction across microarray and methylation sequencing technologies
Maxim N Shokhirev, Adiv A Johnson
Geroscience
|
March 6, 2025
Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAge
Maxim N Shokhirev, Adiv A Johnson
Aging Cell
|
December 18, 2020
Modeling the human aging transcriptome across tissues, health status, and sex
Maxim N Shokhirev, Adiv A Johnson
Rejuvenation Research
|
September 6, 2021
Pan-Tissue Aging Clock Genes That Have Intimate Connections with the Immune System and Age-Related Disease
Adiv A Johnson, Maxim N Shokhirev
Frontiers in Genetics
|
October 17, 2025
Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factors
Maxim N Shokhirev, Adiv A Johnson
Aging Cell
|
October 11, 2024
Contextualizing aging clocks and properly describing biological age
Adiv A Johnson, Maxim N Shokhirev
Ageing Research Reviews
|
July 22, 2025
Demystifying common DNA methylation sites that promote the ability of CheekAge to associate with health and disease
Adiv A Johnson, Maxim N Shokhirev
Biogerontology
|
June 18, 2025
First-generation versus next-generation epigenetic aging clocks: Differences in performance and utility
Adiv A Johnson, Maxim N Shokhirev
Expert Review of Molecular Diagnostics
|
June 19, 2026
Explainable epigenetic aging clocks: an overview of existing AI models and approaches
Adiv A Johnson, Maxim N Shokhirev
Page
of 8