Aging as an irretrievable occurrence throughout the entire life is characterized by a progressive decline in physiological functionality and enhanced disease vulnerability …
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 …
Recent critical commentaries unfavorably compare deep learning (DL) with standard machine learning (SML) approaches for brain imaging data analysis. However, their …
Methods to quantify biological aging are emerging as new measurement tools for epidemiology and population science and have been proposed as surrogate measures for …
ML Elliott, DW Belsky, AR Knodt, D Ireland… - Molecular …, 2021 - nature.com
An individual's brainAGE is the difference between chronological age and age predicted from machine-learning models of brain-imaging data. BrainAGE has been proposed as a …
JW Wu, A Yaqub, Y Ma, W Koudstaal, A Hofman… - Scientific reports, 2021 - nature.com
Application of biological age as a measure of an individual´ s health status offers new perspectives into extension of both lifespan and healthspan. While algorithms predicting …
PH Mehta, S Fiorenza, RM Koldej… - Frontiers in …, 2021 - frontiersin.org
A range of emerging therapeutic approaches for the treatment of cancer aim to induce or augment endogenous T cell responses. Chimeric antigen receptor (CAR) T cell therapy …
Caloric restriction (CR) is a strategy that attenuates aging in multiple nonhuman species. The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy …
Background Given associations linking early life adversity, pubertal timing, and biological aging, we examined the direct and indirect effects of early life trauma on adult biological …