One plane for every
digital biomarker

HealthGen unifies CGM, wearables, cognitive tests, lifestyle logs and clinical data into a single digital biomarker plane.

Supporting trials at
Singapore General Hospital
KK Women's and Children's Hospital
Changi General Hospital
Sengkang General Hospital
SingHealth Polyclinics
Singapore General Hospital
KK Women's and Children's Hospital
Changi General Hospital
Sengkang General Hospital
SingHealth Polyclinics

What HealthGen is

HealthGen is the unified data plane for digital biomarkers. All patient signals land in one place, share one schema and use one set of biomarker definitions.

Every new study, program or product plugs into the same layer instead of standing up its own stack.

One schema
All data normalized to a single model
One set of definitions
Standardized biomarkers across all projects
One infrastructure
Shared platform that scales with you
E
Type 2 Diabetes Study
247 active participants
All cohorts
Recent Activity
232 on track
12 flagged
3 offline
P-1247
112
8.4k
72
94%
2m
P-1248
158
3.2k
68
87%
12m
P-1249
98
12.1k
75
98%
5m
P-1250
1.8k
72%
4h
P-1251
124
6.7k
70
91%
8m
P-1252
106
9.3k
68
85%
15m
CGM
Steps
HR
Adh
Sync
P-1247 — All Data Sources
3 devices
Last 24h
Glucose
+2.4%
112
mg/dL
Dexcom
Steps
+12%
8.4k
today
Fitbit
Heart Rate
−1.3%
72
bpm
Watch
Sleep
−8%
7.2h
last night
Fitbit
Time in Range
+5%
68%
today
Dexcom
Active Min
+18%
42
today
Watch
Weight
−2 lbs
182
lbs
Scale
Mood
Good
9am
Survey
Timeline (Last 24h)
Survey
Morning survey completed
9:12 AM
Device
CGM sensor change
8:45 AM
Med
Medication logged
8:30 AM
Sleep
Sleep data synced (7.2h)
7:15 AM
Goal
Step goal achieved
Yesterday 8PM
Connect with all major devices
Apple Watch
Coros
Fitbit
Freestyle Libre
Garmin
Apple Watch
Coros
Fitbit
Freestyle Libre
Garmin
Apple Watch
Coros
Fitbit
Freestyle Libre
Garmin
Apple Watch
Coros
Fitbit
Freestyle Libre
Garmin
Google Fit
Huawei
Oura
Samsung
Google Fit
Huawei
Oura
Samsung
Google Fit
Huawei
Oura
Samsung
Google Fit
Huawei
Oura
Samsung

Beyond the EHR

The full spectrum of data needed for biomarkers, longevity research, and precision health—all in one unified layer.

Clinical & Lab Data

Traditional EHR endpoints
HbA1cLipid panelsVital signsMedications

Continuous Glucose

Real-time metabolic data
CGM readingsTime in rangeVariabilityResponse curves

Activity & Movement

Wearable sensor data
StepsHeart rateExercise minutesCalories

Sleep & Recovery

Circadian & rest metrics
Sleep durationSleep stagesHRVResting HR

Nutrition & Diet

Food logging & macros
Meal timingMacronutrientsFood photosHydration

Cognitive Function

Brain health metrics
Memory testsReaction timeExecutive functionAttention

Mental Health & Mood

Psychological wellbeing
PHQ-9GAD-7Daily moodStress levels

Environmental Context

External factors
Air qualityTemperatureUV exposureAltitude

Social Determinants

Lifestyle context
Housing stabilityFood securityTransportationSocial support

Patient-Reported Outcomes

Subjective measures
Pain scalesQuality of lifeSymptom diariesAdherence

Genomics & Biomarkers

Molecular data
SNPsPolygenic scoresProteomicsMetabolomics

Clinical & Lab Data

Traditional EHR endpoints
HbA1cLipid panelsVital signsMedications

Continuous Glucose

Real-time metabolic data
CGM readingsTime in rangeVariabilityResponse curves

Activity & Movement

Wearable sensor data
StepsHeart rateExercise minutesCalories

Sleep & Recovery

Circadian & rest metrics
Sleep durationSleep stagesHRVResting HR

Nutrition & Diet

Food logging & macros
Meal timingMacronutrientsFood photosHydration

Cognitive Function

Brain health metrics
Memory testsReaction timeExecutive functionAttention

Mental Health & Mood

Psychological wellbeing
PHQ-9GAD-7Daily moodStress levels

Environmental Context

External factors
Air qualityTemperatureUV exposureAltitude

Social Determinants

Lifestyle context
Housing stabilityFood securityTransportationSocial support

Patient-Reported Outcomes

Subjective measures
Pain scalesQuality of lifeSymptom diariesAdherence

Genomics & Biomarkers

Molecular data
SNPsPolygenic scoresProteomicsMetabolomics

Clinical & Lab Data

Traditional EHR endpoints
HbA1cLipid panelsVital signsMedications

Continuous Glucose

Real-time metabolic data
CGM readingsTime in rangeVariabilityResponse curves

Activity & Movement

Wearable sensor data
StepsHeart rateExercise minutesCalories

Sleep & Recovery

Circadian & rest metrics
Sleep durationSleep stagesHRVResting HR

Nutrition & Diet

Food logging & macros
Meal timingMacronutrientsFood photosHydration

Cognitive Function

Brain health metrics
Memory testsReaction timeExecutive functionAttention

Mental Health & Mood

Psychological wellbeing
PHQ-9GAD-7Daily moodStress levels

Environmental Context

External factors
Air qualityTemperatureUV exposureAltitude

Social Determinants

Lifestyle context
Housing stabilityFood securityTransportationSocial support

Patient-Reported Outcomes

Subjective measures
Pain scalesQuality of lifeSymptom diariesAdherence

Genomics & Biomarkers

Molecular data
SNPsPolygenic scoresProteomicsMetabolomics
11 data categories unified on a single platform

Why the unified plane matters

Today, CGM, wearables, lifestyle apps and clinic systems each live in their own silo. That makes it hard to compare cohorts, reuse models or scale beyond a single project. With HealthGen, everything sits on a single plane, so cross-study views, pooled analyses and shared infrastructure are the default, not a custom job.

Before: Siloed
After: Unified

How it works

Three steps to unify your digital biomarkers

01

Connect

Plug in CGM, wearables, apps, surveys and clinical exports.

02

Unify

Normalize into a common timeline and biomarker model.

03

Activate

Drive dashboards, nudges, trials and registries off the same layer.

Who it's for

Health systems

One longitudinal view of each patient across devices, apps and clinics.

Life sciences / medtech

One biomarker layer across trials, RWE and companion products.

Researchers & public health

One shared plane for cohorts, grants and registries.

Ready to unify your digital biomarkers?

See how HealthGen can help you ship faster, scale further, and get to insights without rebuilding the stack.