Health TrialsbyHealthPanel

Human Observatory Study

ConditionsAgingMortalityAll-cause MortalityLife ExpectancyCardiovascular DiseasesNeoplasmsCognitive DysfunctionMetabolic SyndromeFrailtyMusculoskeletal DiseaseNeurodegenerative DiseaseDementiaActivities of Daily LivingHealth Related Quality of LifeEnvironmental ExposureOccupational DiseasesHealth EquitySocial Determinants of HealthPhysical Disability
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorLongevity Metrics, Inc.

About this trial

The Human Observatory Study is a prospective observational and ecological surveillance study building a continuously-updating world model for human health, disease, and death at the individual and population level. Individual multi-system clinical data from enrolled participants are linked to a continuously-ingested ecological data infrastructure spanning environmental exposures, social determinants, genealogical and family history records, mortality data, and population health databases at geographic resolutions from home address to global scale and beyond. The resulting model generates individual screening recommendations informed by population-level causal estimates, and population-level causal forecasts anchored by present-timepoint individual clinical biology. This linkage creates a feedback architecture designed to improve both simultaneously.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Enrolled in the 100-Year Human Aging Study at any fixed or mobile clinical site; OR completion of online health screener with provision of geographic anchor data and consent.

Disqualifiers

Age under 18 years (current protocol; pediatric amendment planned).

Trial population

Participants of all ages, health statuses, and demographic backgrounds enrolled in the 100-Year Human Aging Study at any fixed or mobile clinical site, plus participants completing the online health screener. No exclusions based on health status, geographic location, language, or population group. The ecological surveillance layer requires no individual enrollment.

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Multi-Domain Ecological and Clinical Data Linkage

    Other intervention

    Linkage of individual multi-system clinical health measurements to continuously-ingested ecological data from public and private registries spanning environmental, social, genealogical, and population health domains at geographic resolutions from home address to global scale and beyond. The linked dataset feeds a continuously-updating causal inference engine generating life expectancy estimates, disease cluster detection, individual screening recommendations, and population health intelligence.

Treatment groups

No treatment groups listed

Trial outcomes

Primary outcomes

1

Life Expectancy Estimates by Geography

Continuously-updated life expectancy point estimates with credible intervals generated at individual, neighborhood, ZIP code, county, state, national, global, and beyond-earth scales using individual clinical data linked to population mortality records, environmental context, and ecological data.

Time frame
From enrollment until death, assessed periodically, up to 100 years
2

Geographic Disease Cluster and Outbreak Detection

Statistically anomalous concentrations of incident disease, mortality spikes, or shared symptom patterns at neighborhood and community resolution.

Time frame
From enrollment until death, assessed periodically, up to 100 years

Secondary outcomes

1

Individual Screening Recommendation Accuracy

Concordance between population-level causal estimates used to generate individualized screening recommendations and actual individual health outcomes at longitudinal follow-up, assessed periodically as outcomes accrue.

Time frame
From enrollment until death, assessed periodically, up to 100 years
2

Causal Effect Estimates for Modifiable Exposures

Estimated attributable life-years gained or lost per unit change in modifiable environmental, occupational, and social exposures.

Time frame
From enrollment until death, assessed periodically, up to 100 years
3

Geographic Variation in Disability-Free Life Expectancy

Disability-free life expectancy stratified by geography, ascertained via the functional independence and disability survey instrument used across all three associated protocols.

Time frame
From enrollment until death, assessed periodically, up to 100 years
4

Health Equity Characterization

Life expectancy gaps and chronic disease disparities stratified by geography, income, race and ethnicity, educational attainment, and rural-urban classification.

Time frame
From enrollment until death, assessed periodically, up to 100 years

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Longevity Metrics, Inc.

Lead sponsor

Source ClinicalTrials.gov
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