ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable biological age.

Journal: The lancet. Healthy longevity
Published Date: Nov 6, 2023

Abstract

BACKGROUND: Biological age is a measure of health that offers insights into ageing. The existing age clocks, although valuable, often trade off accuracy and interpretability. We introduce ExplaiNAble BioLogical Age (ENABL Age), a computational framework that combines machine-learning models with explainable artificial intelligence (XAI) methods to accurately estimate biological age with individualised explanations.

Authors

  • Wei Qiu
  • Hugh Chen
    Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA.
  • Matt Kaeberlein
    Department of Pathology, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, USA. kaeber@uw.edu.
  • Su-In Lee
    Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington.

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