Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a new deep learning tool, deepBlastoid, to study models of human embryo ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Nearly 20% of pregnancies in people with lupus result in an adverse pregnancy outcome (APO). In a new study, scientists were able to improve prediction accuracy of APOs using machine learning. Machine ...

In a recent study uploaded to the medRxiv* pre-print server, researchers built and assessed machine learning models to predict depression in pregnant women using electronic medical record data. Their ...