“People who look older than their actual age have a 61% higher risk of dementia.”
The Science
The science behind your face.
Your face is more than a mirror. It reflects how your lifestyle shows up over time, backed by decades of research in dermatology, gerontology, and computer vision.
The Evidence
0Peer-Reviewed Studies
0Participants Studied
0Biomarkers Tracked
0Confidence Levels
Research Foundation
What the research shows.
The link between facial appearance and health isn't new, but the ability to measure it daily, non-invasively, and without clinical equipment is.
“FaceAge, a deep-learning model trained on 58,851 faces, predicts mortality risk with clinical-grade accuracy.”
“Among identical twins, the twin who looks older is more likely to die first and has shorter telomeres.”
“Facial aging reflects cardiovascular risk, immune function, cortisol levels, and cognitive health.”
“Skin aging and biological aging are bidirectionally linked. Your skin is both a marker and a driver of systemic aging.”
“86% of facial aging is modifiable through lifestyle. Only 14% is genetic.”
“31 hours of poor sleep produced visible facial changes rated by 122 independent observers.”
“Poor sleepers showed increased signs of skin aging and slower recovery from environmental stressors.”
“Alcohol consumption shows a dose-dependent association with visible facial aging in women.”
“Regular cycling reversed skin composition changes in adults over 65 to resemble much younger skin.”
“Daily use of SPF 15 sunscreen resulted in 24% less skin aging over 4.5 years.”
“Up to 80% of visible facial aging is attributable to UV exposure.”
What We Measure
6 biomarkers. Every scan.
EYVO analyzes your face across 6 biomarkers:
01
Dark Circles
Visible discoloration associated with sleep quality, hydration, stress, and circulation. Tracked across scans to surface lifestyle patterns.
Visual analysis
02
Skin Texture
Surface smoothness and visible skin grain. Changes with hydration, diet, skincare routine, and environmental exposure.
Surface analysis
03
Wrinkles
Visible fine lines and deeper creases. Tracked over time to show aging rate vs. lifestyle changes.
Computer-vision analysis
04
Redness
Visible redness in the skin. Often associated with stress, alcohol, diet, and environmental factors.
Color analysis
05
Puffiness
Visible facial puffiness associated with sleep, sodium intake, and alcohol consumption.
Geometry analysis
06
Tone Evenness
Skin tone consistency. Affected by sun exposure, hormonal changes, and skincare habits.
Tone uniformity analysis
Statistical Methodology
How correlations work.
We test many lifestyle/skin combinations. Without statistical safeguards, some would appear significant purely by chance. Here is how we prevent that.
01
Robust correlation analysis
We use established non-parametric statistical techniques designed for ordinal lifestyle data (e.g. stress 1-5, water low/medium/high). These do not assume specific data distributions and are well-suited to real-world habit tracking.
02
Biology-aware analysis
Lifestyle factors do not affect your skin instantly. We account for the biological time it takes for each factor to show on your skin, based on dermatological research. This prevents naive same-day comparisons that miss the real signal.
03
False-positive guards
Multiple layers of statistical protection against spurious correlations:
- Multiple-test correction: controls the rate of false discoveries when testing many factor/biomarker combinations
- Stability checks: every correlation is re-validated against resampled data to filter unstable or noise-driven signals
- Distribution-free validation: confidence is estimated without assuming a specific data shape
- Trend detection: flags correlations that only exist in part of your data, not across the full range
What We Track
20+ lifestyle factors. Evidence-based.
Every factor in EYVO is grounded in dermatological research linking it to visible skin changes.
Sleep
Alcohol
Sodium
Stress
UV Exposure
Exercise
Water Intake
Sugar
Dairy
Caffeine
Smoking
HRV
Screen Time
Crying
Flying
Menstrual Cycle
Temperature
Humidity
Fasting
Meditation
Factors with weaker evidence use hedging language in the app and are clearly flagged as preliminary, so you always know how much to trust each pattern.
Correlation Confidence
4
How confidence builds.
Every correlation in EYVO starts as a weak signal and strengthens over time. The more data you log, the more reliable your insights become. 4 levels show you exactly how much you can trust each pattern.
Correlation Confidence
Early Signal
Limited data. A hint of a pattern.
Preliminary
Pattern emerging with moderate data.
Growing
Consistent pattern across many data points.
Strong
High-confidence correlation with extensive data.
Our Approach
Transparency over perfection.
We use your phone camera, not clinical equipment. The strength of EYVO is not absolute accuracy, but tracking your relative change over time. We compare you to yourself.
If we cannot measure something reliably, we do not show it. If a correlation is weak, we label it as such.
Known limitations
- Phone-camera based, not validated against dermatologist clinical assessments
- Skin tone coverage across all Fitzpatrick types is still expanding
- Short-term tracking depends on your consistency, not just our methods
- Most users have 7-60 data points per pattern, not thousands
We publish these limitations because transparency builds more trust than marketing claims.
Ready when you are
Your face,
your data,
your proof.
Download EYVOFree on iOS · No subscription to start