Research
Mixed
Integrating multiple biomarkers (molecular and phenotypic) using statistical or machine learning algorithms provides a more powerful prediction of physiological age than single biomarkers.
For the most accurate assessment of your biological age, use integrated panels that combine multiple blood tests and physical metrics, analyzed by advanced algorithms, rather than relying on a single test.
GoodSupportsHIGH confidence
Integration of multiple biomarkers can be even more powerful... Recently, a modular ensemble of 21 deep neural networks was used to predict age by using measurements from basic blood tests... which revealed the five most important blood markers for predicting human chronological age: albumin, glucose, alkaline phosphatase, urea, and erythrocytes.
Why this rating
Based on large-scale studies and ML models.
Source
Molecular and phenotypic biomarkers of aging
Xian Xia et al. · F1000Research · 2017
DOI 10.12688/f1000research.10692.1
narrative_reviewCited 189×
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
More from this paper
- DNA methylation patterns (epigenetic clocks) are among the best-studied and most accurate molecular biomarkers for predicting chronological age.Strong
- Quantitative molecular and phenotypic biomarkers (e.g., DNA methylation, telomere length, physical function) can accurately measure physiological age and predict healthspan and lifespan.Good
- Physical function and anthropometric measurements (e.g., walking speed, grip strength) are practical phenotypic biomarkers that can perform better than DNA methylation in predicting health status.Good
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