[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100604037":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":18,"centralContacts":23,"locations":29,"responsibleParty":48,"collaborators":50,"id":54,"slug":10,"hasResults":55,"nctId":56,"briefTitle":57,"officialTitle":57,"acronym":58,"eligibilityCriteria":59,"healthyVolunteers":60,"sex":61,"minAge":62,"maxAge":10,"enrollmentInfo":63,"targetDuration":66,"studyType":67,"phases":10,"briefSummary":68,"conditions":69,"keywords":71,"overallStatus":32,"whyStopped":10,"lastUpdateSubmitDate":77,"lastUpdatePostDateStruct":78,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":86},{"fullName":5,"class":6},"Nuvana Healthcare LTD","INDUSTRY",[8],{"label":9,"type":10,"description":10,"interventionNames":11},"Participants with suspicious skin lesions undergoing AI-based image analysis and dermatologist confi",null,[12],"Diagnostic Test: Smartphone-based AI skin lesion analysis (NuvanaDx platform).",[14],{"type":15,"name":16,"description":16,"armGroupLabels":17,"otherNames":10},"DIAGNOSTIC_TEST","Smartphone-based AI skin lesion analysis (NuvanaDx platform).",[9],[19],{"name":20,"affiliation":21,"role":22},"Aryan Chaudhary,","Scientific Advisor \u002F Co-Founder, Nuvana Healthcare","STUDY_CHAIR",[24],{"name":25,"role":26,"phone":27,"phoneExt":10,"email":28},"Sushma Saxena, Director, Nuvana Healthcare Ltd","CONTACT","+44 7481986525","sushma.saxena@nuvana.co.uk",[30],{"facility":31,"status":32,"city":33,"state":10,"zip":10,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"Nuvana Healthcare Ltd","RECRUITING","London","United Kingdom","UK",{"type":37,"coordinates":38},"Point",[39,40],-0.12574,51.50853,{"lat":40,"lon":39},[43,45],{"name":44,"role":26,"phone":27,"phoneExt":10,"email":28},"Sushma Saxena, B.Tech, Msci",{"name":46,"role":47,"phone":10,"phoneExt":10,"email":10},"Aryan Chaudhary","PRINCIPAL_INVESTIGATOR",{"type":49,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[51],{"name":52,"class":53},"National Institute for Health Research, United Kingdom","OTHER_GOV","100604037",false,"NCT07144306","AI-Driven Early Detection of Skin Cancer","Skin Cancer","Inclusion Criteria:\n\nAdults (≥18 years) presenting with skin lesions suspicious for malignancy.\n\nAbility to provide informed consent.\n\nExclusion Criteria:\n\nInability to provide informed consent.\n\nPoor-quality images unsuitable for AI analysis.",true,"ALL","18 Months",{"count":64,"type":65},100,"ESTIMATED","50 Months","OBSERVATIONAL","This study evaluates the feasibility and accuracy of an AI-powered mobile platform (NuvanaDx) for early detection of skin cancer, including melanoma, using smartphone-based imaging. The platform is designed to improve access to early diagnosis, reduce waiting times, and support triage into appropriate care pathways.",[70],"Skin Cancer Melanoma",[58,72,73,74,75,76],"Melanoma","Early Detection","Artificial Intelligence","Dermatology","Digital Health","2025-09-25",{"date":79,"type":80},"2025-09-26","ACTUAL",{"date":82,"type":65},"2025-10-01",{"date":84,"type":65},"2026-01-01",{"name":5,"class":6},1]