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Clinical Trial Summary

The project will focus on the major technical difficulty of "lack of effective nutritional intervention measures for early risk of common mental diseases in China", and rely on the platform of psychiatric risk identification and treatment specialty of Shanghai Mental Health Center, an authoritative institution in the field of mental health, and focus on the effective application of the domestic independent research and development of the artificial intelligence nicotinic acid skin flushing reaction quantification instrument.


Clinical Trial Description

Based on the biological data of one of the world's largest cohort of psychiatric patients with early phase and risk, nicotinic acid reaction pictures were introduced as biological information for the first time in nutritional intervention of psychiatric risk prevention and control. Exploration of machine learning and big data analysis methods, based on the objective quantitative evaluation tool, combined with fingertip blood fat spectrum detection, to construct the optimization scheme and targeted non drug intervention measures of nutritional supplement for common mental diseases. From the perspective of antioxidant stress and nutritional supplement, a new clinical pathway for the prevention and treatment of mental diseases with artificial intelligence products as screening, early warning and guidance prevention will be established. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04504058
Study type Observational
Source Shanghai Mental Health Center
Contact TianHong Zhang, Doctor
Phone 13127577024
Email zhang_tianhong@126.com
Status Recruiting
Phase
Start date October 1, 2020
Completion date October 1, 2021

See also
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Completed NCT04509778 - Develop a Psychosis Risk Calculator for Chinese Mental Health Servises
Recruiting NCT05398120 - Skills Group for Those at Clinical High-Risk for Psychosis N/A