Modeling transcriptomic age using knowledge-primed artificial neural networks

N Holzscheck, C Falckenhayn, J Söhle… - npj Aging and …, 2021 - nature.com
The development of 'age clocks', machine learning models predicting age from biological
data, has been a major milestone in the search for reliable markers of biological age and …

Remeasuring aging

WC Sanderson, S Scherbov - Science, 2010 - science.org
Population aging is an international concern, in part because of consequences of coming
age-structure changes, eg, growth in the number of elderly, decline in the number of youth …

Frailty biomarkers in humans and rodents: current approaches and future advances

AE Kane, DA Sinclair - Mechanisms of Ageing and Development, 2019 - Elsevier
Even though they would have great benefit across research and clinical fields, currently
there are no accepted biomarkers of frailty. Cross-sectional studies in humans have …

AGEMAP: a gene expression database for aging in mice

JM Zahn, S Poosala, AB Owen, DK Ingram… - PLoS …, 2007 - journals.plos.org
We present the AGEMAP (Atlas of Gene Expression in Mouse Aging Project) gene
expression database, which is a resource that catalogs changes in gene expression as a …

Epigenetic clock: A promising biomarker and practical tool in aging

R Duan, Q Fu, Y Sun, Q Li - Ageing Research Reviews, 2022 - Elsevier
As a complicated process, aging is characterized by various changes at the cellular,
subcellular and nuclear levels, one of which is epigenetic aging. With increasing awareness …

[HTML][HTML] Artificial intelligence for aging and longevity research: Recent advances and perspectives

A Zhavoronkov, P Mamoshina, Q Vanhaelen… - Ageing research …, 2019 - Elsevier
The applications of modern artificial intelligence (AI) algorithms within the field of aging
research offer tremendous opportunities. Aging is an almost universal unifying feature …

[PDF][PDF] Comparative transcriptomics reveals circadian and pluripotency networks as two pillars of longevity regulation

JY Lu, M Simon, Y Zhao, J Ablaeva, N Corson, Y Choi… - Cell metabolism, 2022 - cell.com
Mammals differ more than 100-fold in maximum lifespan. Here, we conducted comparative
transcriptomics on 26 species with diverse lifespans. We identified thousands of genes with …

Age-related frailty and its association with biological markers of ageing

A Mitnitski, J Collerton, C Martin-Ruiz, C Jagger… - BMC medicine, 2015 - Springer
Background The relationship between age-related frailty and the underlying processes that
drive changes in health is currently unclear. Considered individually, most blood biomarkers …

Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy

ML Elliott, A Caspi, RM Houts, A Ambler, JM Broadbent… - Nature aging, 2021 - nature.com
Some humans age faster than others. Variation in biological aging can be measured in
midlife, but the implications of this variation are poorly understood. We tested associations …

Moving frailty toward clinical practice: NIA intramural frailty science symposium summary

J Walston, K Bandeen‐Roche, B Buta… - Journal of the …, 2019 - Wiley Online Library
Frailty has long been an important concept in the practice of geriatric medicine and in
gerontological research, but integration and implementation of frailty concepts into clinical …