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Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictors

2021-04-26

Abstract excerpt

It is hypothesized that there are inter-individual differences in biological aging; however, differences in aging among (heart images vs. electrophysiology) and across (e.g., brain vs heart) physiological dimensions have not been systematically evaluated and compared. We analyzed 676,787 samples from 502,211 UK Biobank participants aged 37-82 years with deep learning approaches to build a total of 331 chronologica...

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Literature Corpus work
c5b05f58-71a7-540b-a2bc-dbe0e048bdb0
DOI
10.1101/2021.04.25.21255767
Open publication

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Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictorsDOI 10.1101/2021.04.25.21255767
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