Predicting physiological aging rates from a range of quantitative traits using machine learning? Does aging occur independently of disease? Or is aging a consequence of disease? In this trending research paper published by aging in 2021, researchers sought to answer these questions by developing a novel framework capable of estimating human physiological age. The researchers used a broad range of biochemical and physiological traits and a machine learning approach to develop a promising new composite metric. As a proxy for an underlying whole body aging mechanism, read this study in more peer-reviewed aging focus research published by aging at agingitemus.com.