Blood Age Test (Deep Longevity)

AI-based biological age estimation from blood biomarkers reflecting overall aging pace and system health.

Blood Age Test (Deep Longevity)

Table of contents

Basic data

The Blood Age Test (Deep Longevity) is an AI-driven assessment that estimates your biological age based on standard blood biomarkers. Unlike conventional lab tests that measure individual parameters, this model analyzes the collective patterns and deviations within your blood panel to predict how fast your body is aging relative to your chronological age.

Using a proprietary deep-learning algorithm trained on thousands of blood samples, the test interprets subtle biological signals of cellular wear and systemic health decline. It provides a single, interpretable score — your “Blood Age” — and compares it to your real age, showing whether you are aging faster or slower than average.

Category: Epigenetics

Level: Advanced

Usefulness: Low

Level

Advanced

This is an advanced-level diagnostic intended for users who already have optimized their foundational health metrics and want to gain deeper insight into their biological aging trajectory. It is most useful when combined with other biological age models (e.g., epigenetic or fitness-based clocks) to identify potential discrepancies or confirm trends. While it offers an elegant snapshot of overall systemic aging, its results require contextual interpretation alongside lifestyle, clinical, and molecular data.

Usefulness

Low

The test provides an overview of biological aging speed based on blood chemistry patterns, helping identify whether your physiology shows signs of accelerated or decelerated aging.
Biological age tracking

Offers a single, interpretable "Blood Age" score reflecting biological aging pace, useful for longitudinal monitoring.

Complement to epigenetic and fitness clocks

Works best when compared with other biological age measures (e.g., methylation clocks, VO₂max), adding depth to your longevity profile.

How it works

The Blood Age model uses deep learning to analyze the relationships among dozens of standard blood biomarkers. By learning from large datasets of healthy and aging populations, it predicts biological age and organ-specific scores.
Data collection

A standard venous blood draw is analyzed for up to 45 biochemical and hematological parameters.

AI-based modeling

An algorithm processes the biomarker pattern to infer biological age and organ system health based on statistical deviations from population norms.

Measures

The test integrates results from multiple blood biomarkers into a composite measure representing biological aging rate.
Blood Age

The predicted biological age derived from AI analysis of blood biomarker patterns.

Organ health scores

Sub-scores indicating estimated health of key systems such as liver, kidney, lipid, and glucose metabolism.

Reliability

While the model is validated on large datasets, its results depend on the quality and consistency of blood sampling and lab processing.
Repeatability

Blood Age results are generally stable if lifestyle and physiology remain constant; significant fluctuations may reflect short-term biological stress or lab variability.

Sensitivity to conditions

Recent illness, dehydration, or fasting deviations can alter biomarker levels and affect the predicted age.

Limitations

The Blood Age test provides statistical, not clinical, information. It should not be used for diagnosis or treatment.
Indirect measurement

The model infers biological aging from biomarker correlations, not direct cellular or molecular mechanisms.

Dependent on dataset quality

Predictive accuracy depends on the representativeness of training data; individual variability may limit precision.

Frequency

Suggested cadence

Repeat every 6–12 months to track biological aging trends and assess the long-term effects of lifestyle interventions.

Cost

Typical costs

Approximately €150–300, depending on the provider and region. Requires a full blood panel for analysis.

Availability

Where available

Offered through Deep Longevity’s partner clinics and labs, including select diagnostic networks in Europe and Asia.

Preparation

How to prepare

Follow standard blood test preparation: overnight fasting (8–12 hours), avoid alcohol and strenuous exercise 24 hours prior to sample collection.

Interpretation

Results are expressed as the difference between biological (Blood Age) and chronological age, supplemented by organ system scores.
Negative age difference

Indicates a slower biological aging rate — your physiology appears younger than your chronological age.

Positive age difference

Suggests accelerated aging or physiological stress — should prompt review of key biomarkers and lifestyle factors.

Alternatives

DNA methylation clocks (e.g., DunedinPACE, TrueAge)

Provide a more direct molecular measure of biological aging via DNA methylation patterns.

Fitness-based biological age (e.g., VO₂max or HRV age)

Estimate biological resilience and cardiovascular fitness as complementary perspectives on aging.

FAQ

Is the Blood Age test clinically validated?

It is based on peer-reviewed AI models developed by Deep Longevity and validated on population datasets, but it is not an FDA-approved diagnostic tool.

Can I use this test to monitor lifestyle interventions?

Yes — repeating the test every few months can show whether your lifestyle changes are associated with slower or faster biological aging.

Does it replace epigenetic clocks?

No. It complements them by using biochemical, not DNA-level, data to estimate biological aging dynamics.