AI-powered therapeutic target discovery

FW Pun, IV Ozerov, A Zhavoronkov - Trends in pharmacological sciences, 2023 - cell.com
Disease modeling and target identification are the most crucial initial steps in drug
discovery, and influence the probability of success at every step of drug development …

[HTML][HTML] Stress, diet, exercise: Common environmental factors and their impact on epigenetic age

F Galkin, O Kovalchuk, D Koldasbayeva… - Ageing Research …, 2023 - Elsevier
Epigenetic aging clocks have gained significant attention as a tool for predicting age-related
health conditions in clinical and research settings. They have enabled geroscientists to …

[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 …

Discovering small-molecule senolytics with deep neural networks

F Wong, S Omori, NM Donghia, EJ Zheng, JJ Collins - Nature Aging, 2023 - nature.com
The accumulation of senescent cells is associated with aging, inflammation and cellular
dysfunction. Senolytic drugs can alleviate age-related comorbidities by selectively killing …

Discovery of senolytics using machine learning

V Smer-Barreto, A Quintanilla, RJR Elliott… - Nature …, 2023 - nature.com
Cellular senescence is a stress response involved in ageing and diverse disease processes
including cancer, type-2 diabetes, osteoarthritis and viral infection. Despite growing interest …

Determining a multimodal aging clock in a cohort of Chinese women

J Li, M Xiong, XH Fu, Y Fan, C Dong, X Sun, F Zheng… - Med, 2023 - cell.com
Background Translating aging rejuvenation strategies into clinical practice has the potential
to address the unmet needs of the global aging population. However, to successfully do so …

Age and life expectancy clocks based on machine learning analysis of mouse frailty

MB Schultz, AE Kane, SJ Mitchell… - Nature …, 2020 - nature.com
The identification of genes and interventions that slow or reverse aging is hampered by the
lack of non-invasive metrics that can predict the life expectancy of pre-clinical models. Frailty …

Ranking biomarkers of aging by citation profiling and effort scoring

A Hartmann, C Hartmann, R Secci, A Hermann… - Frontiers in …, 2021 - frontiersin.org
Aging affects most living organisms and includes the processes that reduce health and
survival. The chronological and the biological age of individuals can differ remarkably, and …

[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 …

Artificial intelligence in longevity medicine

A Zhavoronkov, E Bischof, KF Lee - Nature Aging, 2021 - nature.com
Recent advances in deep learning enabled the development of AI systems that outperform
humans in many tasks and have started to empower scientists and physicians with new …