Optimizing Mental Health Management With AI-Guided (GenAIS TM) Dietary Supplementation

NCT ID: NCT06470425

Last Updated: 2025-04-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

160 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-02-02

Study Completion Date

2024-06-01

Brief Summary

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The study "Optimizing Mental Health Management with AI-Guided (GenAIS TM) Dietary Supplementation" aimed to compare the effectiveness of AI-guided dietary supplement (DS) prescriptions versus standard physician-guided prescriptions in managing mental health disorders, specifically depression and anxiety. This 6-month randomized controlled trial included 160 participants diagnosed with major depressive disorder or generalized anxiety disorder. Participants were divided into two groups: one received DS based on physician judgment, and the other based on GenAIS AI system analysis. Primary outcomes focused on changes in mental health scores, while secondary outcomes included quality of life, metabolic markers, and DS adherence. Data collection involved genetic, metabolic, and clinical profiling, with ethical considerations ensuring participant confidentiality and informed consent.

Detailed Description

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Conditions

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Mental Disorder

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

TRIPLE

Participants Caregivers Outcome Assessors

Study Groups

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Control Group

Group Type ACTIVE_COMPARATOR

Standard therapy group

Intervention Type OTHER

Participants receive supplement prescriptions from a physician based on current standard practices, which include biochemical markers, genetic data, and metabolic profiles.

AI-Guided Group

Group Type EXPERIMENTAL

AI-Guided group

Intervention Type OTHER

Participants receive supplement prescriptions determined by GenAIS, is an AI system that considers genetic data, metabolic profiles, biochemical markers, and patient history.

Interventions

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Standard therapy group

Participants receive supplement prescriptions from a physician based on current standard practices, which include biochemical markers, genetic data, and metabolic profiles.

Intervention Type OTHER

AI-Guided group

Participants receive supplement prescriptions determined by GenAIS, is an AI system that considers genetic data, metabolic profiles, biochemical markers, and patient history.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Age between 18 and 65 years.
* Diagnosed with major depressive disorder (MDD) or generalized anxiety disorder (GAD) according to DSM-5 criteria.
* Moderate to severe symptoms as indicated by scores on HAM-D (≥17) for depression or GAD-7 (≥10) for anxiety.
* Stable on psychiatric medication for at least 3 months prior to the study.
* Willingness to provide genetic and metabolic data.
* Written informed consent.

Exclusion Criteria

* Current or past history of severe psychiatric conditions such as schizophrenia, bipolar disorder, or other psychotic disorders.
* Current substance abuse or dependence within the last 6 months.
* Significant medical conditions like severe renal, hepatic, or cardiovascular diseases.
* Pregnancy or breastfeeding.
* Recent changes in psychiatric medication within the last 3 months.
* Participation in another clinical trial within the last 30 days.
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Triangel Scientific

INDUSTRY

Sponsor Role collaborator

Center of New Medical Technologies

OTHER

Sponsor Role collaborator

S.LAB (SOLOWAYS)

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Center of New Medical Technologies

Novosibirsk, Novosibisk Region, Russia

Site Status

Countries

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Russia

Other Identifiers

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SW016

Identifier Type: -

Identifier Source: org_study_id

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