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NCT06550037

Optimize and Predict Antidepressant Efficacy for Patient With MDD Using Multi-omics Analysis and AI-predictive Tool

Sponsor: Alessio Fasano

View on ClinicalTrials.gov

Summary

OPADE is a non-profit, observational, multicenter, open-label study aimed at defining personalized treatment for Major Depressive Disorder (MDD). In particular, we will combine genetics, epigenetics, microbiome, immune response data together with anamnesis, questionnaires, electroencephalography (EEG) collected from subjects suffering MDD. Eventually, an Artificial Intelligence (AI)/Machine Learning (ML) predictive tool will be created to guide clinicians in improving MDD treatment and patient's stratification.

Official title: Optimize and Predict Antidepressant Efficacy for Patient With Major Depressive Disorders Using Multi-omics Analysis and AI-predictive Tool

Key Details

Gender

All

Age Range

14 Years - 50 Years

Study Type

OBSERVATIONAL

Enrollment

350

Start Date

2023-08-07

Completion Date

2027-05-31

Last Updated

2026-03-18

Healthy Volunteers

No

Locations (1)

Università Degli Studi Di Siena

Siena, Italy