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.
Coordination
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
Universidade de Coimbra
Santander Universidades
Project Details
Project Code
ELEANA
Start Date
2024-04-09
End Date
2024-12-31
Total Cost
20 000€
Funding Details
Projectos Semente de Investigação 2024
