Award
Eunice Kennedy Shriver National Institute of Child Health and Human Development 1R21HD119885-01
NeoGx-III: Interpretable Machine Learning with Integrated Analysis of Maternal & Infant Electronic Medical Records for Unbiased Prediction of Need for Genome Sequencing in Level III NICUs
Recipient
Not specified
Award Amount
$434,500.00
Ceiling
$434,500.00
Awarded
July 22, 2025
Identifier
1R21HD119885-01
Award for developing a machine learning model using maternal and infant electronic medical records to predict the need for genome sequencing in Level III NICUs, aiming to improve neonatal health outcomes and reduce disparities.
Description
This project aims to develop an interpretable machine learning model that leverages structured and unstructured data from neonatal and maternal electronic health records to identify neonates most likely to benefit from early genomic testing, with the goal of reducing health disparities and improving outcomes.