Recruiting

Observational Study

Sponsor:

Longevity Metrics, Inc.

Code:

NCT07646782

Conditions

Aging

Mortality

All-cause Mortality

Life Expectancy

Cardiovascular Diseases

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

Interventions

Multi-Domain Ecological and Clinical Data Linkage

Study Details

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

Study ID

NCT07646782

Start date

Apr 25, 2026

Status verified date

Jun, 2026

Completion date

Dec 31, 2099

Anticipated

Primary completion date

Dec 31, 2099

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

Inclusion Criteria:

  • 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.

Exclusion Criteria:

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

Study Design

Enrollment

1000000 participants

Anticipated

Interventions and Outcome Measures

Interventions

Multi-Domain Ecological and Clinical Data Linkage

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.

Primary outcome measure

  • Life Expectancy Estimates by Geography [ Time Frame: From enrollment until death, assessed periodically, up to 100 years ]
  • Geographic Disease Cluster and Outbreak Detection [ Time Frame: From enrollment until death, assessed periodically, up to 100 years ]

Central Contacts and Locations

Central contacts

William Brandenburg, MD

13035010016info@longevitymetrics.org

Locations

Longevity Metrics

Recruiting

Boulder, Colorado, United States, 80301

Contacts

William Brandenburg, MD

3035010016info@longevitymetrics.org

info@longevitymetrics.org

Principal Investigator:

William Brandenburg, MD

More Information

Sponsor

Longevity Metrics, Inc.

Last update posted

Jun 15, 2026

Last verified

Jun, 2026

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

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-08. This information was provided to ClinicalTrials.gov by Longevity Metrics, Inc. on 2026-06-15.