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Cellular reprogramming as a tool to model human aging in a dish Here, the authors explore the opportunities and limitations of cellular reprogramming to create reliable aging in vitro models and their potential for the discovery of anti-aging compounds
An In Silico Model to Simulate the Evolution of Biological Aging Our model provides a powerful in silico framework to simulate how populations and genomes change in the context of biological aging and opens a novel analytical opportunity to characterize how real populations evolve their speci c aging dynamics
An In Silico Model to Simulate the Evolution of Biological Aging Our model provides a powerful in silico framework to simulate how populations and genomes change in the context of biological aging and opens a novel analytical opportunity to characterize how
The potential for complex computational models of aging In the face of this complexity, we can significantly advance our understanding of aging with the use of computational models that simulate realistic individual trajectories of health as well as mortality
DeepQA: A Unified Transcriptome-Based Aging Clock Using Deep . . . A typical approach for estimating biological age, adopted by almost all existing aging clocks, is to train machine learning models only on healthy subjects, but to infer on both healthy and unhealthy subjects However, the inherent bias in this approach results in inaccurate biological age as shown in this study