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Integrating Digital Phenotypes and AI-Driven Cognitive-Behavioral Therapy: Advancing Precision Medicine in Depression Through Digital Medicine

Integrating Digital Phenotypes and AI-Driven Cognitive-Behavioral Therapy: Advancing Precision Medicine in Depression Through Digital Medicine

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07500714
Enrollment
100
Registered
2026-03-30
Start date
2025-06-01
Completion date
2027-07-01
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Depression - Major Depressive Disorder

Brief summary

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.

Interventions

BEHAVIORALInternet Cognitive-Behavioral Therapy

GPT-powered iCBT the participants will receive 8 sessions (30 minutes per session)

BEHAVIORALSham treatment

Sham (relaxation/supportive interaction) treatment at Day 2, 5, 9, 12, 16, 19, 23, 27.

Sponsors

National Science and Technology Council, Taiwan
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
TRIPLE (Subject, Caregiver, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* (1) Aged 18-75 years * Diagnosis of major depressive disorder disorder (Based on Diagnostic Statistical Manual 5) * 21-item Hamilton Depression Scale (HAMD21)\>17 * 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 * Full competency to understand the study details and provide written informed consent

Exclusion criteria

* 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) * Psychotic disorders, bipolar affective disorder, a substance use disorders in the past 6 months, active suicidal or homicidal ideation (per assessment or HAMD\>3) * Unstable or active medical illness.

Design outcomes

Primary

MeasureTime frameDescription
Depression SeverityWeeks 0, 1, 2, 4, 8, 12, 16, 20, 24Depression severity is measured by the 21-item Hamilton Rating Scale for Depression (HAM-D). A higher score indicates greater severity, a score of ≥18 indicates moderate to severe depression.
Stress LevelWeeks 0, 1, 2, 4, 8,12, 16, 20, 24Stress level is measured by the Life Events Perceived Stress (LEPS). A total score of ≥27 is widely recognized as the cut-off for high perceived stress.
Quality of Life AssessmentWeeks 0, 1, 2, 4, 8, 12, 16, 20, 24Quality of Life Assessment is measured by the EuroQol questionnaire (EQ-5D). The Index Score (usually 0 to 1), where 1.0 is full health, index scores below 0.6 are often characterized as representing low quality of life

Secondary

MeasureTime frameDescription
Psychological well-beingWeeks 0, 4Psychological well-being is measured by the Brief Live Experience Questionnaire (BLEQ12). Score Range: 0-36; higher scores indicate greater general psychological well-being.
Resilience ScaleWeeks 0, 4Resilience is measured by the Resilience Scale for Adults (RSA). The scale uses a 7-point semantic differential scale (e.g., ranging from "Difficult to accomplish" to "Possible to accomplish"), with a total score range of: 33 to 231.
Potential traumatic experiencesWeeks 0, 4Resilience is measured by the Adverse Childhood Experiences-International Questionnaire. ACE Score (0-13): One point is given for each category of trauma experienced. The "Cut-off": A score of ≥4 is the widely recognized threshold where the risk of chronic disease, depression, and social problems increases significantly.
Nutrition AssessmentWeeks 0, 4Nutrition Assessment is measured by the Taiwanese version of the Mini Nutrition Assessment (MNA). The MNA Long Form consists of 18 items with a maximum score of 30 points, where a score of 24 to 30 points indicates normal nutritional status, 17 to 23.5 points indicates a risk of malnutrition, and less than 17 points signifies that the individual is malnourished.
Peripheral Neuropathy Symptom AssessmentWeeks 0, 4Peripheral Neuropathy Symptom is measured by the self-reported Neurotoxicity Rating Scale (NTRS)
Physical Activity LevelWeeks 0, 1, 2, 4, 8, 12, 16, 20, 24Continuous monitoring of daily physical activity via the Garmin Vívoactive 5 wearable device. Unit of Measure: number of steps per day. \<5,000 steps/day is often defined as "sedentary," while \>7,500 steps/day is "physically active"
Heart Rate Variability (HRV)Weeks 0, 1, 2, 4, 8, 12, 16, 20, 24Continuous monitoring of the variation in time between consecutive heartbeats measured during rest using the Garmin Vívoactive 5. Unit of Measure: Root mean square of successive differences (RMSSD) in milliseconds (ms). Absolute Values (RMSSD): For healthy adults (ages 38-42), a normal range is typically 19-48 ms. Scores significantly below this (e.g., \<20 ms) are often used as a cut-off for high physiological stress or poor recovery.
Sleep Patterns (Sleep Score)Weeks 0, 1, 2, 4, 8, 12, 16, 20, 24Continuous monitoring is measured using the Garmin Vívoactive 5. Garmin's internal "Sleep Score" (0-100) uses 60 as the threshold for "Poor" sleep. A higher score shows better results.

Countries

Taiwan

Contacts

CONTACTKuan-Pin Su, MD, PhD.
cobol@cmu.edu.tw04-22361230

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 31, 2026