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Health Intelligence Platform

Bringing Clinical Research to Personal Health Assessment

Our platform implements proven scientific methodologies from leading research institutions to make advanced health assessment accessible to everyone.

Built on Proven Science

Implement the validated PhenoAge algorithm developed by Dr. Morgan Levine at Yale and UCLA, published in Aging journal (2018)

Clinical-Grade Analysis

50+ biomarkers analyzed using established clinical reference ranges and normalization methods

Easy to Understand Results

Complex biomarker data translated into clear health scores and actionable insights

Continuous Updates

Our algorithms incorporate the latest research findings as new studies are published

The PhenoAge
Method

We've implemented Dr. Levine's groundbreaking research that uses your blood work to determine how fast your body is actually aging

What is PhenoAge?

PhenoAge was developed by researchers at UCLA and Yale using data from over 9,000 people. They discovered that 9 specific blood markers, when combined with your chronological age, can predict your biological age better than any previous method.

Why This Works

Studies show this method predicts health outcomes better than just looking at your birth age - it's been validated in hospitals and shown to be more accurate at predicting who stays healthy longer

Our Implementation

We've built user-friendly software that takes your lab results and applies these complex calculations automatically, giving you results in minutes instead of requiring specialized medical analysis

The 9 key markers we use

Albumin
protein levels
Creatinine
Kidney Function
Glucose
blood sugar
C-reactive protein
inflammation
Lymphocyte %
immune health
Mean cell volume
red blood cell size
Red cell distribution width
blood cell variation
Alkaline phosphatase
liver enzyme
White blood cell count
immune system

Dynamic Age Adjustment & Penalty Scoring System

Sophisticated penalty algorithms incorporating age-specific biomarker variations for enhanced clinical accuracy
Clinical Integration
Penalty scores integrated using covariate-specific percentile values similar to pediatric height/weight charts

Penalty Calculation Framework

Age-adjusted penalties applied to biomarkers exceeding normal ranges, with severity weighting based on clinical significance

Age-Specific Thresholds

Different penalty multipliers for age groups (20-30, 31-40, 41-50, 51-60, 61+) reflecting physiological changes

Biomarker Severity Weighting

Age-adjusted penalties applied to biomarkers exceeding normal ranges, with severity weighting based on clinical significance
HIGH Penalty
CRP
2.0X
HbA1c
2.0X
Moderate
LDL
2.0X
Triglycerides
2.0X
Low
MCV
2.0X
RDW
2.0X