[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100641995":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":13,"centralContacts":18,"locations":23,"responsibleParty":42,"collaborators":7,"id":44,"slug":7,"hasResults":45,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":49,"eligibilityCriteria":50,"healthyVolunteers":51,"sex":52,"minAge":53,"maxAge":7,"enrollmentInfo":54,"targetDuration":7,"studyType":57,"phases":7,"briefSummary":58,"conditions":59,"keywords":79,"overallStatus":25,"whyStopped":7,"lastUpdateSubmitDate":104,"lastUpdatePostDateStruct":105,"startDateStruct":108,"completionDateStruct":110,"leadSponsor":112,"locationsCount":113},{"fullName":5,"class":6},"Longevity Metrics, Inc.","INDUSTRY",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"OTHER","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.",[14],{"name":15,"affiliation":16,"role":17},"William Brandenburg, MD","Longevity Metrics","PRINCIPAL_INVESTIGATOR",[19],{"name":15,"role":20,"phone":21,"phoneExt":7,"email":22},"CONTACT","13035010016","info@longevitymetrics.org",[24],{"facility":16,"status":25,"city":26,"state":27,"zip":28,"country":29,"countryCode":30,"cosmosGeoPoint":31,"geoPoint":36,"contacts":37},"RECRUITING","Boulder","Colorado","80301","United States","US",{"type":32,"coordinates":33},"Point",[34,35],-105.27055,40.01499,{"lat":35,"lon":34},[38,40,41],{"name":15,"role":20,"phone":39,"phoneExt":7,"email":22},"3035010016",{"name":7,"role":20,"phone":7,"phoneExt":7,"email":22},{"name":15,"role":17,"phone":7,"phoneExt":7,"email":7},{"type":17,"investigatorFullName":15,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"Principal Investigator","100641995",false,"NCT07646782","Human Observatory Study","The Human Observatory: A Prospective Individual and Population-Level Study of Aging, Health, and Longevity","HOS","Inclusion Criteria:\n\n* 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.\n\nExclusion Criteria:\n\n* Age under 18 years (current protocol; pediatric amendment planned).",true,"ALL","18 Years",{"count":55,"type":56},1000000,"ESTIMATED","OBSERVATIONAL","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.",[60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78],"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",[80,81,82,83,84,85,86,87,88,89,90,91,92,77,93,94,95,96,97,98,99,100,101,102,103],"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","Mortality Prediction","Biomarker Validation","Cardiopulmonary Exercise Testing","Body Composition","Preventive Medicine","Healthspan","Functional Decline","Centenarian","Space Medicine","Aerospace Medicine","World Model","2026-06-09",{"date":106,"type":107},"2026-06-15","ACTUAL",{"date":109,"type":107},"2026-04-25",{"date":111,"type":56},"2099-12-31",{"name":5,"class":6},1]