[HTML][HTML] ARDD 2020: from aging mechanisms to interventions
GV Mkrtchyan, K Abdelmohsen, P Andreux… - Aging (Albany …, 2020 - ncbi.nlm.nih.gov
Aging is emerging as a druggable target with growing interest from academia, industry and
investors. New technologies such as artificial intelligence and advanced screening …
investors. New technologies such as artificial intelligence and advanced screening …
[HTML][HTML] Forging the microbiome to help us live long and prosper
RR Rock, PJ Turnbaugh - PLoS biology, 2023 - journals.plos.org
Aging is often accompanied by an increased risk of an array of diseases spanning the
cardiovascular, nervous, and immune systems, among others. Despite remarkable progress …
cardiovascular, nervous, and immune systems, among others. Despite remarkable progress …
[HTML][HTML] Psychological aging, depression, and well-being
M Mitina, S Young, A Zhavoronkov - Aging (Albany NY), 2020 - ncbi.nlm.nih.gov
Aging is a multifactorial process, which affects the human body on every level and results in
both biological and psychological changes. Multiple studies have demonstrated that a lower …
both biological and psychological changes. Multiple studies have demonstrated that a lower …
[HTML][HTML] Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related …
A Urban, D Sidorenko, D Zagirova, E Kozlova… - Aging (Albany …, 2023 - ncbi.nlm.nih.gov
Aging is a complex and multifactorial process that increases the risk of various age-related
diseases and there are many aging clocks that can accurately predict chronological age …
diseases and there are many aging clocks that can accurately predict chronological age …
[HTML][HTML] Biomedical generative pre-trained based transformer language model for age-related disease target discovery
Target discovery is crucial for the development of innovative therapeutics and diagnostics.
However, current approaches often face limitations in efficiency, specificity, and scalability …
However, current approaches often face limitations in efficiency, specificity, and scalability …
[HTML][HTML] Characterizing the gut microbiome changes with aging in a novel Alzheimer's disease rat model
A Nagarajan, H Srivastava, CD Morrow… - Aging (Albany NY …, 2023 - ncbi.nlm.nih.gov
Alzheimer's disease (AD) is one of the most devastating diseases currently in the world with
no effective treatments. There is increasing evidence that the gut microbiome plays a role in …
no effective treatments. There is increasing evidence that the gut microbiome plays a role in …
[HTML][HTML] Searching for female reproductive aging and longevity biomarkers
S Yureneva, V Averkova, D Silachev… - Aging (Albany …, 2021 - ncbi.nlm.nih.gov
Female reproductive aging is, in a way, a biological phenomenon that develops along
canonical molecular pathways; however, it has particular features. Recent studies revealed …
canonical molecular pathways; however, it has particular features. Recent studies revealed …
Epigenetic clocks indicate that kidney transplantation and not dialysis mitigate the effects of renal ageing
O Neytchev, H Erlandsson, A Witasp… - Journal of Internal …, 2024 - Wiley Online Library
Background Chronic kidney disease (CKD) is an age‐related disease that displays multiple
features of accelerated ageing. It is currently unclear whether the two treatment options for …
features of accelerated ageing. It is currently unclear whether the two treatment options for …
[HTML][HTML] PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence
A Zhavoronkov, K Kochetov, P Diamandis… - Aging (Albany …, 2020 - ncbi.nlm.nih.gov
Aging clocks that accurately predict human age based on various biodata types are among
the most important recent advances in biogerontology. Since 2016 multiple deep learning …
the most important recent advances in biogerontology. Since 2016 multiple deep learning …
[HTML][HTML] Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability
In this article, we present a deep learning model of human psychology that can predict one's
current age and future well-being. We used the model to demonstrate that one's baseline …
current age and future well-being. We used the model to demonstrate that one's baseline …