27 NOVEMBER 2020
KICK-OFF
ONLINE
Organised by Politecnico di Torino (Turin)
14-16 OCTOBER 2021
TRAINING SCHOOL
First Training Event: Neurodevelopment after Preterm Birth: Diagnosis, Ethics and Social Impact
Three days training event that targets to familiarize the network’s structure, its topics and targets, and individual projects. To get an overall picture and complexity of the neurodevelopmental disabilities diagnostic path for preterm children considering also ethics and social impact.
Organised by INiBICA, UCA and Nene Foundation (Cadiz)
31 MARCH – 2 APRIL 2022
TRAINING SCHOOL
Second Training Event: Neurodiagnostic focused on neurodevelopmental disabilities
Three days of training aimed at an overview of neuroimaging diagnostic tools and eye-tracking technology. Understanding how to use medical knowledge in the design of personalized testing technology, data visualization and processing. Finally, examples of successfully completed projects will be given.
Organised by KU Leuven and Icometrix
(Leuven)
(Leuven)
24-27 AUGUST 2022
TRAINING SCHOOL
Third Training Event: Machine Learning for Neurodiagnostics
Three training days that target to provide an overview of the best practices to take into account in order to succeed in machine learning-based projects. The training will also cover the fundamentals of neural networks and deep learning, including hands-on sessions.
Organised by University of Ljubljana, NEUS Diagnostics and TOELT
21-24 MARCH 2023
TRAINING SCHOOL
Fourth Training Event: Data management in healthcare, IPR and entrepreneurship
The course will explore the challenges in the field of data management in health research, with particular attention to the need of integrating clinical and biological data for knowledge discovery, and optimized solutions to deliver high-quality and easy-to-use information resources.
Organised by GPI
11-15 SEPTEMBER 2023
TRAINING SCHOOL
Fifth Training Event: Modelling Pathology Dynamics and Trajectories in NDD
The course offers an overview of multiscale and multiphysics modelling applied to neuroscience with specific interests in NDD and NDTrj. Basis of statistical mechanics to investigate biological and pathological phenomena moving from time to statistical distributions and back.