Human Observatory Study

NCT07646782 | Recruiting DMC

• 2 other identifiers: ObservatoryIORG0012336; IRB00014601
• Study Type: observational
• Target: 1,000,000
• Locations: 1 country
• Sites: 1

Brief Summary

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. Thus creating a feedback architecture designed to improve both simultaneously.

Conditions

Aging; Mortality; All-cause Mortality; Life Expectancy; Cardiovascular Diseases; Neoplasms; Cognitive Dysfunction; Metabolic Syndrome; Frailty; Musculoskeletal Disease; Neurodegenerative Disease; Dementia; Activities of Daily Living; Health Related Quality of Life; Disability Physical; Environmental Exposure; Occupational Diseases; Health Equity; Social Determinants of Health

Keywords

longevity; biological aging; causal inference; life expectancy; exposome; Environmental Health; Social Determinants; Genealogy; Family History; Human Family Tree; Population Health; Neighborhood Health; Geographic Health Disparities; Health Equity; Mortality Prediction; Biomarker Validation; Cardiopulmonary Exercise Testing; Body Composition; Preventive Medicine; Healthspan; Functional Decline; Centenarian; Space Medicine; Aerospace Medicine; World Model

Outcome Measures

Primary Outcomes (2)

• 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.

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

• Geographic Disease Cluster and Outbreak Detection

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

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

Secondary Outcomes (8)

• Individual Screening Recommendation Accuracy

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

• Causal Effect Estimates for Modifiable Exposures

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

• Geographic Variation in Disability-Free Life Expectancy

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

• Health Equity Characterization

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

• Human Tree of Life Growth

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

Interventions

Multi-Domain Ecological and Clinical Data Linkage OTHER

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.

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study 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.

You may qualify if:

• 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.

You may not qualify if:

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

Sponsors & Collaborators

• Longevity Metrics, Inc.: lead

Study Sites (1)

Longevity Metrics

Boulder, Colorado, 80301, United States

RECRUITING

MeSH Terms

Conditions

Cardiovascular Diseases; Neoplasms; Cognitive Dysfunction; Metabolic Syndrome; Frailty; Musculoskeletal Diseases; Neurodegenerative Diseases; Dementia; Occupational Diseases

Condition Hierarchy (Ancestors)

Cognition Disorders; Neurocognitive Disorders; Mental Disorders; Insulin Resistance; Hyperinsulinism; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Nervous System Diseases; Brain Diseases; Central Nervous System Diseases

Study Officials

• William Brandenburg, MD

  Longevity Metrics

  PRINCIPAL INVESTIGATOR

Central Study Contacts

William Brandenburg, MD

CONTACT

13035010016; info@longevitymetrics.org

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: INDUSTRY
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: June 9, 2026
• First Posted: June 15, 2026
• Study Start: April 25, 2026
• Primary Completion (Estimated): December 31, 2099
• Study Completion (Estimated): December 31, 2099
• Last Updated: June 15, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)