Now showing documents 1-7 of 7
Cross-population validation of statistical distance as a measure of physiological dysregulation during aging
Abstract: Measuring physiological dysregulation during aging could be a key tool both to understand underlying aging mechanisms and to predict clinical outcomes in patients. However, most existing indices are either circular ...
Aging across the tree of life: the importance of a comparative perspective for the use of animal models in aging
Abstract: Use of model organisms in aging research is problematic because our ability to extrapolate across the tree of life is not clear. On one hand, there are conserved pathways that regulate lifespan in organisms ...
Physiological and comparative evidence fails to confirm an adaptive role for aging in evolution
Abstract: The longstanding debate about whether aging may have evolved for some adaptive reason is generally considered to pit evolutionary theory against empirical observations consistent with aging as a programmed aspect ...
Inflamm‐aging does not simply reflect increases in pro‐inflammatory markers
Abstract: Many biodemographic studies use biomarkers of inflammation to understand or predict chronic disease and aging. Inflamm-aging, i.e. chronic low-grade inflammation during aging, is commonly characterized by ...
A novel statistical approach shows evidence for multi-system physiological dysregulation during aging
Other titre : A novel measurement approach and evidence for multi-system physiological dysregulation during aging
Abstract: Previous studies have identified many biomarkers that are associated with aging and related outcomes, but the relevance of these markers for underlying processes and their relationship to hypothesized systemic ...
Homeostatic dysregulation proceeds in parallel in multiple physiological systems
Abstract: An increasing number of aging researchers believes that multisystem physiological dysregulation may be a key biological mechanism of aging, but evidence of this has been sparse. Here, we used biomarker data on ...
Deep biomarkers of aging are population-dependent
Letters to the Editor. "Putin et al.  just published an excellent article showing how machine learning methods (specifically deep neural networks, DNNs) can be used to quantify the aging process using a set of 41 standard ...