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Optimize and Predict Antidepressant Efficacy for Patient With MDD Using Multi-omics Analysis and AI-predictive Tool
Sponsor: Alessio Fasano
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
Conditions
Locations (1)
Università Degli Studi Di Siena
Siena, Italy