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A Multi-domain Approach for the Characterization and Early Diagnosis of Neurodevelopmental Disorders

Neurodevelopmental Disorders Clinical Trial

Official title:
A Multi-domain Approach for the Characterization and Early Diagnosis of Neurodevelopmental Disorders

Clinical Trial Summary

Diagnosis and characterization of neurodevelopmental disorders are considered challenging processes because of their complexity, multi-factoriality and heterogeneity. The present project will consider two of the most common neurodevelopmental disorders (i.e. autism spectrum disorders (ASD) and language disorders (LD)), with the aim to overcome these difficulties, by: a) deeply investigating their neuronal correlates; b) identifying multi-domain biomarkers (electrophysiological, genetic, environmental and clinical); c) developing a machine learning algorithm for early diagnosis. To achieve the above mentioned aims a multi-domain dataset will be used, comprising data collected from typically developing infants, infants at high risk for ASD and infants at high risk for LD. The data that will be used have been already collected within other trials performed at the Scientific Institute E. Medea.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05269927
Study type Interventional
Source IRCCS Eugenio Medea
Contact
Status Completed
Phase N/A
Start date March 1, 2016
Completion date May 31, 2021
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