[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100648308":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":20,"responsibleParty":38,"collaborators":10,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":48,"eligibilityCriteria":49,"healthyVolunteers":50,"sex":51,"minAge":52,"maxAge":10,"enrollmentInfo":53,"targetDuration":56,"studyType":57,"phases":10,"briefSummary":58,"conditions":59,"keywords":62,"overallStatus":22,"whyStopped":10,"lastUpdateSubmitDate":65,"lastUpdatePostDateStruct":66,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":74},{"fullName":5,"class":6},"Brigham and Women's Hospital","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Healthy volunteers",null,"Individuals that are not currently\u002Fhave never received care at any MGB affiliated institutions.",[13,18],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Raymond Mak, MD","CONTACT","(617) 632-5734","bwhfaceage@mgb.org",{"name":19,"role":15,"phone":10,"phoneExt":10,"email":10},"Fridolin Haugg, MS",[21],{"facility":5,"status":22,"city":23,"state":24,"zip":25,"country":26,"countryCode":27,"cosmosGeoPoint":28,"geoPoint":33,"contacts":34},"RECRUITING","Boston","Massachusetts","02115","United States","US",{"type":29,"coordinates":30},"Point",[31,32],-71.05977,42.35843,{"lat":32,"lon":31},[35,37],{"name":36,"role":15,"phone":16,"phoneExt":10,"email":17},"Andrew Warrington, BS",{"name":19,"role":15,"phone":16,"phoneExt":10,"email":17},{"type":39,"investigatorFullName":40,"investigatorTitle":41,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Raymond Mak","Professor of Radiation Oncology","100648308","artificial-intelligence-based-health-assessment-from-face-photographs---healthy-volunteer-study-100648308",false,"NCT07719049","Artificial Intelligence-Based Health Assessment From Face Photographs - Healthy Volunteer Study","Artificial Intelligence-Based Phenotyping of Health From Photographs - Healthy Volunteer Study","FaceAge","Inclusion Criteria:\n\n* The protocol enrolls healthy volunteers from the adult (age 18 and above) general population. All races and genders will be included.\n\nExclusion Criteria:\n\n* Any skin condition or recent facial injury that could affect facial appearance.\n* Inability to follow study instructions or provide informed consent.\n* Taking new or strong medication on the day of image capture could potentially affect appearance or alertness.",true,"ALL","18 Years",{"count":54,"type":55},10000,"ESTIMATED","3 Years","OBSERVATIONAL","The investigators aim to examine how FaceAge estimates (a measure of biological age based on facial features) change across different time points and identify factors that may influence these changes. This will help the investigators understand the consistency and reliability of the FaceAge algorithm and allow them to make improvements.",[60,61],"Aging","Facial Aging",[63,60,64],"Artificial Intelligence","Biomarkers of Aging","2026-08-13",{"date":67,"type":68},"2026-08-17","ACTUAL",{"date":70,"type":68},"2025-10-23",{"date":72,"type":55},"2027-10",{"name":5,"class":6},1]