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Project

NIBIB Predicting the early childhood outcomes of preterm brain shape abnormalities

Center:
Fiscal Year:
2019
Contact Information:
Project Description:
This research will provide the first complete subcortical network analysis in both term and preterm neonates. In the first study of its kind for prematurity, we will use sparse and multi-task learning to determine which of the biomarkers of prematurity at birth are the best predictors of long-term outcome. The expected findings could improve our ability to predict these outcomes and enable the design of early treatments before years of pathological brain development and symptoms occur.
Keyword(s):
early childhood, term infant, preterm infant, brain shape, biomarker
Core Function(s):
Performing Research or Evaluation
Area of Emphasis
Health-Related Activities
Target Audience:
Children/Adolescents with Disabilities/SHCN
Unserved or Under-served Populations:
Racial or Ethnic Minorities
Primary Target Audience Geographic Descriptor:
National
Funding Source:
Federal
COVID-19 Related Data:
N/A