Ki Insight Story – Gestational Age
Ki Insight Stories are an opportunity for us to thank the Ki Community for your generous data contributions and keep you informed on the important insights that Ki and our BMGF partners are generating.
Our latest Insight Story presents the results of the Gestational Age data science rallies. The data for these rallies represented over 2,500 individuals from at least 15 countries. This data made it possible to improve estimates of gestational age, which help determine whether a baby is small for its age or born preterm and, if so, intervene at that time.
The goals of these data science rallies were to improve estimates of gestational age at individual and population levels using ultrasound and non-ultrasound measurements. When access to ultrasound early in pregnancy is unavailable, using ultrasound later in pregnancy or simpler metrics at birth has the potential to improve screening.
We deeply appreciate the hard work and involvement of all our data contributors, domain experts, and partners. Without you, this work would not be possible. We would particularly like to acknowledge the data contributors for the Gestational Age data science rallies and other collaborators:
|Kelli K. Ryckman
|Said Moh’d Ali
|Jennifer B. Griffin
|Katherine EA Semrau
|Davidson H. Hamer
|Sushil Kanta Dasgupta
|Anne CC Lee
|Blair J Wylie
|Stephen Kennedy and the members of the International Fetal and Newborn Growth Consortium for the 21st Century
If you are a Ki data contributor or partner, we invite you to download the full Insight story by joining the Ki Insight Stories space on Synapse, a collaborative research platform.