Scientific References

AgeMeter is a functional biological age assessment platform that uses multiple non-invasive performance measures and versioned, research-based reference data. This page presents literature supporting the broader scientific concepts behind multidimensional biological-age assessment. AgeMeter’s specific biomarker selection, protocols, normative mappings, and scoring system are proprietary.

AI Enabled Aging Reversal Resources Database

Select a biomarker description for resources available now. We keep adding resources as aging science advances.

Evidence-informed. Proprietary implementation.

Scientific foundation

AgeMeter is grounded in the established scientific concept that aging can be examined through multiple functional measures rather than chronological age alone. The AgeMeter protocols, normative profiles, scoring mappings, and implementation are proprietary.

Multidimensional

Functional aging is broader than any single laboratory or performance measurement.

Repeatable

Consistent protocols support comparison of an individual’s performance over time.

Reference-based

AgeMeter results use versioned research-based normative profiles and controlled scoring.

The AgeMeter Tests are based on scientific data for each biomarker tested.

H-SCAN research

AgeMeter’s predecessor, H-SCAN, was developed around automated functional tests. Hochschild’s research described test procedures and age/sex reference data from 2,462 office workers, then examined a combined functional-age index in that cohort. Test methods and reference data, 1989; combined-index study, 1990.

Selected foundational literature

These publications address broad biological-age and Functional Biological Age methodology. They do not disclose AgeMeter’s proprietary biomarker selection, test protocols, normative mappings, or scoring engine.

  • Belsky DW, Caspi A, Houts R, et al. Quantification of biological aging in young adults. Proceedings of the National Academy of Sciences. 2015. PubMed
  • Levine ME. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? Journals of Gerontology Series A. 2013. PubMed
  • Klemera P, Doubal S. A new approach to the concept and computation of biological age. Mechanisms of Ageing and Development. 2006. DOI