Validation of biomarkers of aging
The search for biomarkers that quantify biological aging (particularly 'omic'-based
biomarkers) has intensified in recent years. Such biomarkers could predict aging-related …
biomarkers) has intensified in recent years. Such biomarkers could predict aging-related …
Concepts of artificial intelligence for computer-assisted drug discovery
X Yang, Y Wang, R Byrne, G Schneider… - Chemical …, 2019 - ACS Publications
Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …
opportunities for the discovery and development of innovative drugs. Various machine …
An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging
While many diseases of aging have been linked to the immunological system, immune
metrics capable of identifying the most at-risk individuals are lacking. From the blood …
metrics capable of identifying the most at-risk individuals are lacking. From the blood …
Molecular sets (MOSES): a benchmarking platform for molecular generation models
D Polykovskiy, A Zhebrak… - Frontiers in …, 2020 - frontiersin.org
Generative models are becoming a tool of choice for exploring the molecular space. These
models learn on a large training dataset and produce novel molecular structures with similar …
models learn on a large training dataset and produce novel molecular structures with similar …
[HTML][HTML] The efficacy and safety of β-nicotinamide mononucleotide (NMN) supplementation in healthy middle-aged adults: a randomized, multicenter, double-blind …
L Yi, AB Maier, R Tao, Z Lin, A Vaidya, S Pendse… - Geroscience, 2023 - Springer
In animal studies, β-nicotinamide mononucleotide (NMN) supplementation increases
nicotinamide adenine dinucleotide (NAD) concentrations and improves healthspan and …
nicotinamide adenine dinucleotide (NAD) concentrations and improves healthspan and …
Biomarkers of aging for the identification and evaluation of longevity interventions
With the rapid expansion of aging biology research, the identification and evaluation of
longevity interventions in humans have become key goals of this field. Biomarkers of aging …
longevity interventions in humans have become key goals of this field. Biomarkers of aging …
[HTML][HTML] Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
The aging process results in multiple traceable footprints, which can be quantified and used
to estimate an organism's age. Examples of such aging biomarkers include epigenetic …
to estimate an organism's age. Examples of such aging biomarkers include epigenetic …
[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 …
research offer tremendous opportunities. Aging is an almost universal unifying feature …
Machine learning on human muscle transcriptomic data for biomarker discovery and tissue-specific drug target identification
For the past several decades, research in understanding the molecular basis of human
muscle aging has progressed significantly. However, the development of accessible tissue …
muscle aging has progressed significantly. However, the development of accessible tissue …
[HTML][HTML] DeepMAge: a methylation aging clock developed with deep learning
DNA methylation aging clocks have become an invaluable tool in biogerontology research
since their inception in 2013. Today, a variety of machine learning approaches have been …
since their inception in 2013. Today, a variety of machine learning approaches have been …