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An explainable machine learning estimated biological age based on morphological parameters of the spine

10 months 4 weeks ago
Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is widely accepted that the prevalence of spine compression increases significantly with age. However, biological age based on vertebral morphological data is rarely reported. In this study, a total of 2,364 participants from the National Health and Nutrition Examination Survey were enrolled, and morphological parameters of the spine were collected from lateral radiographs scanned by dual energy X-ray...
Zi Xu

In Science Journals

10 months 4 weeks ago
Science, Volume 386, Issue 6720, Page 392-394, October 2024.

Michael Funk, and
Sacha Vignieri,
Phil Szuromi,
Caroline Ash,
Marc S. Lavine,
Jesse Smith,
Michael A. Funk,
Wei Wong,
Amos Matsiko,
Yevgeniya Nusinovich,
Priscilla N. Kelly,
Brent Grocholski,
Hannah M. Isles, and
Catherine Charneski

News at a glance

10 months 4 weeks ago
Science, Volume 386, Issue 6720, Page 360-361, October 2024.

Hannah Richter

Open with care

10 months 4 weeks ago
Science, Volume 386, Issue 6720, Page 372-375, October 2024.

Sandeep Ravindran