Epigenetic Testing 
for Biological Age

Now available in your clinic
Learn More
Chronological Age: 42
Biological Age: 36
Pace of aging graphic
Pace of aging: 0,87
Pace of aging: 0,87
Pace of aging graphic
Blood icon
Blood
Lungs icon
Lungs
Blood icon
Blood
Lungs icon
Lungs
Blood icon
Blood
Blood graphic
Lungs icon
Lungs
Lungs graphic

Boost your clinic’s impact & revenue with Epigenetic Biological Aging Testing

Get an epigenetic test report sample now – enter your details below.
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How Epigenetic Testing Drives Better Patient Outcomes

Predict & Prevent icon

Predict & Prevent

Access early indicators of biological stress and system-level changes that may precede clinical symptoms. Enable timely investigation and personalized strategies to maintain long-term health.
Personalized Longevity icon

Personalized Longevity

Optimize therapies and lifestyle recommendations from an individualized epigenetic report. Track patient progress and refine treatments using real-time data.
Deep Biological Insights icon

Deep Biological Insights

Gain a multidimensional view of each patient (cardiovascular, metabolic, immune) and make data-driven decisions for better clinical outcomes.
Learn how to integrate epigenetics into your practice. Request a demo now and deliver truly personalized medicine to your patients.
Request a demo

A Simple and Seamless Process

1 Request a Collection Kit

Request a Collection Kit

Order your kit and get everything needed for sample collection.
2 Collect the DNA Sample

Collect the DNA Sample

Perform the painless blood collection directly in your clinic.
3 Receive Results in 3-4 Weeks

Receive Results in 4–6 Weeks

From pickup to processing, we handle the logistics and deliver insights that help personalize long-term health strategies.

Scientific References

Belsky, D. W., Caspi, A., Arseneault, L., Baccarelli, A., Corcoran, D. L., Gao, X., ... & Moffitt, T. E. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife, 11, e73420. https://doi.org/10.7554/eLife.73420

Belsky, D. W., Caspi, A., Corcoran, D. L., Gao, X., Hannon, E., Harrington, H., ... & Moffitt, T. E. (2020). Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. eLife, 9, e54870. https://doi.org/10.7554/eLife.54870 SEHGAL, Raghav et al.

Systems Age: A single blood methylation test to quantify agingheterogeneity across 11 physiological systems. BioRxiv, p. 2023.07. 13.548904, 2023. https://www.biorxiv.org/content/10.1101/2023.07.13.548904v1.full.pdf