Purpose
to get a proof of concept for use of a machine learning approach, linked with a computational model, to predict adverse perinatal outcomes from fetal and placental Doppler flow patterns
Grantee
Division
Gender Equality,
Global Health
Date
NOVEMBER 2017
Region served
GLOBAL
Committed amount
$327,352
Grant topic
Discovery and Translational Sciences,
MNCH Discovery and Tools
Duration (months)
18
Grantee location
Karachi, Pakistan
More about our financials
Our work
Learn about where we work around the globe and the programs we’ve created to address urgent issues in global health, global development, and education.
How we work
We are focused on results. Those that can be measured. And those measured in ways beyond numbers.