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There Are 10 Signs of Faster Aging Hidden in Your Blood, Study Says

TL;DR AI

Key summary

2 min read
  1. Cohort had 362 blood parameters measured in 3,300 participants, researchers measured 362 blood parameters in 3,300 people aged 35–74.

  2. Research team reduced 362 parameters to key biomarkers using statistical modeling and machine learning, team used statistical modeling and machine learning to reduce biomarkers.

  3. Biomarkers were narrowed to ten markers for females and ten markers for males, separate lists of 10 biomarkers were chosen for males and for females.

  4. Researchers compared biomarkers to chronological age and selected combinations that best predicted age, researchers compared biomarkers against chronological age to select predictors.

  5. Validation groups were tested on cohorts with known biological aging differences (trisomy 21, smokers, women on hormone therapy), validation used groups known to age differently biologically: people with trisomy 21, smokers, and women on hormone therapy.

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