[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100631441":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":11,"centralContacts":31,"locations":37,"responsibleParty":56,"collaborators":11,"id":60,"slug":61,"hasResults":62,"nctId":63,"briefTitle":64,"officialTitle":64,"acronym":11,"eligibilityCriteria":65,"healthyVolunteers":66,"sex":67,"minAge":68,"maxAge":69,"enrollmentInfo":70,"targetDuration":11,"studyType":73,"phases":74,"briefSummary":76,"conditions":77,"keywords":11,"overallStatus":40,"whyStopped":11,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"National Science and Technology Council, Taiwan","OTHER_GOV",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"GPT-powered iCBT","EXPERIMENTAL",null,[13],"Behavioral: Internet Cognitive-Behavioral Therapy",{"label":15,"type":16,"description":11,"interventionNames":17},"Sham","SHAM_COMPARATOR",[18],"Behavioral: Sham treatment",[20,27],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"BEHAVIORAL","Internet Cognitive-Behavioral Therapy","GPT-powered iCBT the participants will receive 8 sessions (30 minutes per session)",[9],[26],"iCBT",{"type":21,"name":28,"description":29,"armGroupLabels":30,"otherNames":11},"Sham treatment","Sham (relaxation\u002Fsupportive interaction) treatment at Day 2, 5, 9, 12, 16, 19, 23, 27.",[15],[32],{"name":33,"role":34,"phone":35,"phoneExt":11,"email":36},"Kuan-Pin Su, MD, PhD.","CONTACT","04-22361230","cobol@cmu.edu.tw",[38],{"facility":39,"status":40,"city":41,"state":41,"zip":42,"country":43,"countryCode":44,"cosmosGeoPoint":45,"geoPoint":50,"contacts":51},"Mind Body Interface Research Center (MBI Lab & Care)","RECRUITING","Taichung","404","Taiwan","TW",{"type":46,"coordinates":47},"Point",[48,49],120.6839,24.1469,{"lat":49,"lon":48},[52],{"name":53,"role":34,"phone":54,"phoneExt":55,"email":36},"Kuan-Pin Su, MD, PhD","+886 (04) 2205-2121","14128",{"type":57,"investigatorFullName":58,"investigatorTitle":59,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"PRINCIPAL_INVESTIGATOR","Kuan-Pin","Professor","100631441","integrating-digital-phenotypes-and-ai-driven-cognitive-behavioral-therapy-advancing-precision-medicine-in-depression-through-digital-medicine-100631441",false,"NCT07500714","Integrating Digital Phenotypes and AI-Driven Cognitive-Behavioral Therapy: Advancing Precision Medicine in Depression Through Digital Medicine","Inclusion Criteria:\n\n* (1) Aged 18-75 years\n* Diagnosis of major depressive disorder disorder (Based on Diagnostic Statistical Manual 5)\n* 21-item Hamilton Depression Scale (HAMD21)\\>17\n* No changes in current psychiatric treatment for depression (e.g., no treatment, antidepressant medication, psychotherapy, or non-invasive brain stimulation) within the past four weeks, and\n* Full competency to understand the study details and provide written informed consent\n\nExclusion Criteria:\n\n* Scores of 5 ( Markedly ill), 6,(Severely ill), and 7 (Among the most extremely ill) according to the Clinical Global Impression Scale-Severity (CGI-S)\n* Psychotic disorders, bipolar affective disorder, a substance use disorders in the past 6 months, active suicidal or homicidal ideation (per assessment or HAMD\\>3)\n* Unstable or active medical illness.",true,"ALL","18 Years","75 Years",{"count":71,"type":72},100,"ESTIMATED","INTERVENTIONAL",[75],"NA","This project aims to integrate digital phenotyping and AI-driven iCBT into a comprehensive platform for MDD diagnosis and treatment in Taiwan. The study will explore dynamic, real-time behavioral and physiological markers to refine diagnostic classifications and optimize personalized therapeutic strategies.",[78],"Depression - Major Depressive Disorder","2026-03-25",{"date":81,"type":82},"2026-03-30","ACTUAL",{"date":84,"type":82},"2025-06-01",{"date":86,"type":72},"2027-07",{"name":5,"class":6},1]