ELEANA: Early-Life Environmental AllergeNs in ADHD

Overview

Project Summary

Allergy patients have up to 50% greater risk of being diagnosed with Attention-Deficit/Hyperactivity Disorder (ADHD). ELEANA is a clinical prospective study aiming at developing a machine learning-based algorithm that help predict the probability of a young child with allergies to develop ADHD based on clinical, laboratorial and ecosystem-related data.

Main Goals

ELEANA is a clinical prospective study in a Portuguese cohort of patients with allergies and ADHD (age- and sex-matched) aiming at: 1) identifying immune-related dysfunction in blood samples from patients that correlate with clinical outcomes; 2) evaluating the correlation between environment/ecosystem-related data and ADHD and allergy symptomatology; 3) developing a machine learning-based algorithm that predicts the probability of a young child with allergies to develop ADHD.

External Team

Este projecto tem na sua equipa membros do grupo de Circuitos Neuronais e Comportamento do CNC UC, do Instituto de Imunologia da FMUC - Faculdade de Medicina da Universidade de Coimbra, do Centro de Ecologia Funcional do DCV UC e do Centre for Informatics and Systems of the University of Coimbra e irá ser realizado com a estreita colaboração do Centro Hospitalar da Universidade de Coimbra e do Centro de Saúde Fernão de Magalhães.

Partners

Funding

Project Details

Project Code

ELEANA

Start Date

2024-04-09

End Date

2023-06-01

Total Cost

20 000€

Funding Details

Projectos Semente de Investigação 2024

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