For Healthcare Professionals
A next-generation health management platform that
precisely visualizes biological age and disease risk.
Precisely understand your true age
and future risk.
A test built for precision predictive medicine, capturing cellular and molecular changes that begin as early as 20 years before disease onset.
It evaluates whole-body and organ-specific biological age*, along with risk indicators related to disease risk and bodily function.
It reveals the full picture of aging that previous tests could not capture.
*An indicator of the degree of progression of cellular senescence.
Chronological aging vs. biological aging
Aging = the greatest risk factor for age-related disease
A test that precisely captures the degree of aging
Service Features
With just 1–2 mL of blood,
get a complete picture of your health risks.
From whole-body and organ-specific biological age compared with actual age, to disease risk and same-generation comparisons of physical condition and function — we comprehensively evaluate a wide range of items.
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Whole-body and organ-specific biological age
Whole body / Brain / Esophagus / Heart / Lungs / Stomach / Liver / Kidneys / Intestines / Prostate / Bladder / Arteries / Fat / Muscle / Skin / Immune cells
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2
Disease risk
Stroke / Myocardial infarction / Stomach cancer /
Prostate cancer / Colorectal cancer / Fragility fracture -
3
Physical condition & function indicators
Chronic inflammation / Gut environment / Mitochondria / Oxidative stress / Autophagy /
Cellular senescence / Environmental pollutants
A large-scale AI foundation model supports
unprecedented precision.
We built Large Epigenome Model (LEM), an AI foundation model trained on long-term follow-up
data accumulated through partnerships with health-screening
facilities and major cohort studies.
The volume and depth of this data underpin
the precision of the EMA Test.
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High-depth epigenome data
1.32 trillion data points
44,000 samples × 30 million sites
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Extremely broad biomolecular data
7,720 types
Proteins / Metabolites / Lipids
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One of Japan's leading epidemiological datasets
Up to 60 years of research
Clinical / Disease onset / Cause-specific mortality
