Award
Eunice Kennedy Shriver National Institute of Child Health and Human Development 5P50HD093074-09
A machine learning computational approach for developing synchronized EEG and behavior biomarkers in young autistic children
Recipient
Duke University
Award Amount
$618,578.00
Ceiling
$618,578.00
Awarded
September 18, 2025
Identifier
5P50HD093074-09
This NIH grant funds a project at Duke University to develop EEG and behavioral biomarkers for young autistic children using machine learning, aiming to improve clinical trial evaluations for early interventions.
Description
The project aims to develop a multimodal biomarker combining EEG activity and synchronized behavioral measures (e.g., social attention) in young autistic children using machine learning and computer vision analysis. The goal is to improve discrimination between autistic and neurotypical children and to create biomarkers suitable for clinical trials to evaluate early interventions.