What this means
Researchers plan to link health data from enrolled people with data on environment, family history, and deaths. The source does not show any results yet, so it cannot tell us what the model will find.
Plain-English summary written by an AI model from the registry listing.
- Status
- Recruiting
- Who can join
- Ages 18 and over
- Where
- 1 site, including Colorado
The science
- Registered title
- Human Observatory Study
- Trial ID
- NCT07646782 ↗
- Phase
- Not applicable
- Study type
- observational
- 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, Environmental Exposure, Occupational Diseases, Health Equity, Social Determinants of Health, Physical Disability
- What is tested
- Multi-Domain Ecological and Clinical Data Linkage
- Sponsor
- Longevity Metrics, Inc.
- Ages
- 18 Years to no maximum
- Dates
- First posted Jun 15, 2026 · updated Sep 8, 2026
Registry 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. This linkage creates a feedback architecture designed to improve both simultaneously.
Sites (1)
- Longevity Metrics, Boulder, Colorado, United States