Identifying neonatal seizures with an automatic algorithm
A new study in The Lancet: Child and Adolescent Health investigated the use of a machine-learning algorithm for neonatal seizure recognition.
The randomized, controlled trial was conducted to assess the diagnostic accuracy of the automated seizure detection algorithm, called Algorithm for Neonatal Seizure Recognition (ANSeR). Researchers sought to find out if ANSeR could help the method of continuous conventional electroencephalography (cEEG).
The researchers concluded that ANSeR was safe and could accurately detect neonatal seizures, but it did not improve the identification of seizures beyond cEEG. For more information on the study, visit Contemporary Pediatrics.
S4E1: New RNA platform can predict pregnancy complications
February 11th 2022In this episode of Pap Talk, Contemporary OB/GYN® sat down with Maneesh Jain, CEO of Mirvie, and Michal Elovitz, MD, chief medical advisor at Mirvie, a new RNA platform that is able to predict pregnancy complications by revealing the biology of each pregnancy. They discussed recently published data regarding the platform's ability to predict preeclampsia and preterm birth.
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