Precision prevention

Biological aging from routine blood tests

HemeAge explores machine learning measures of hematologic aging and cardiovascular risk in two cohorts.

Conceptual illustration of Precision prevention

The clinical question

Routine blood tests may contain information about biological aging that is not captured by chronological age alone.

The approach

Investigators used machine learning to examine hematologic biomarkers of aging in relation to cardiovascular risk.

What the study adds

The publication evaluates HemeAge and cardiovascular risk across two cohorts.

The next question

Can biomarkers derived from routine tests improve scalable risk assessment?

Explore the source publication for study design, estimates, limitations, and full author contributions.

Back to all projects