We’re proud to share that the team at the Neuroscience of Early Development (NED) Lab was recently featured in
UdeMNouvelles, highlighting a major advance led by
Dr. Sarah Lippé, our principal investigator, and doctoral student researcher
Saeideh Davoudi.
The article details a novel method for estimating brain maturation in infants using EEG recordings and artificial intelligence. With deep learning models, Saeideh predicted infants’ “brain age” with an average error of less than 30 days. This work holds tremendous promise for the early identification of neurodevelopmental conditions, including autism and ADHD.
Read the full article here:
UdeMNouvelles
